Presented at AnacondaCON 2017 by Hilary Mason, Fast Forward Labs. Download Hilary's slides here: https://www.slideshare.net/continuumio/the-next-generation-of-data-products-anacondacon-2017
Views: 8183 Anaconda, Inc.
http://www.ibm.com/bigdata - For consumer products manufacturers, big data analytics is fueling improved business outcomes by applying new analytics capabilities on a vast amount of data. This demonstration illustrates the value of Big Data capabilities to improve sales performance insight and collaboration with retail customers. Through enabling better understanding of retail visibility, enhancing sales analysis, improving execution and profitability of promotional events, and optimizing spending, Big Data helps achieve CP company financial results.
Views: 2022 IBM Analytics
In this session, we'll discuss Google Cloud’s vision and engineering strategy that can help you move big data analytics solutions to the next level of benefits. Google Cloud Platform combines powerful serverless solutions for enterprise data warehousing, streaming analytics, managed Spark and Hadoop, modern BI, planet-scale data lake, and AI. We'll share how our customers are seamlessly integrating GCP services to innovative big data solutions, explain new partner solutions that are making it easy for you to capture value from big data, and demonstrate new solutions and product capabilities. SPTL108 Event schedule → http://g.co/next18 Watch more Spotlight sessions here → http://bit.ly/2Lby9sW Next ‘18 All Sessions playlist → http://bit.ly/Allsessions Subscribe to the Google Cloud channel! → http://bit.ly/NextSub
Views: 4896 Google Cloud Platform
Pivotal is a software company that is focused on not only delivering great Open Source Products but on how those products are built. Pivotal is at the forefront of sharing the latest technologies and setting up foundations such as the Cloud Foundry Foundation and the Open Data Platform (ODP) for Big Data projects. Pivotal enables enterprises to become more software driven. It's a great place to work filled with passionate people who highly value the work they do. View job listings: https://pivotal.io/careers
Views: 1488 Pivotal Software, Inc.
Product Management event in New York about how to build data products. 👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Check us out on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: http://bit.ly/2r0rmIA Find out more about us: http://bit.ly/2vrJ5iT 💻 It's a Product Manager's job to champion the voice of the user and align the team around solving core user problems that have the highest business and user impact. Inga shared strategies and tools to keep the team focused on the user and on problems worth solving. She put these tools into context by walking through a case study following the product development of Squarespace's most popular iOS and Android apps, Squarespace Analytics. Inga Chen is a Product Manager at Squarespace leading the user-facing analytics team. Here they are turning data into actionable insights across web and mobile to help Squarespace's millions of websites and online stores make better decisions about their businesses. Previously, Inga was a Product Manager of data insights, fleet telematics and AutoSmog at Automatic Labs, a connected car IoT startup that was acquired by SiriusXM leveraging machine learning and data science to empower drivers with insights into their driving behavior and car health. Before Automatic, Inga was an investment banker advising on tech M&A transactions at Jefferies. ABOUT US: Product School is the world’s first tech business school. We offer certified Product Management, Coding, Data and Blockchain courses; our instructors are real-world product managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in 14 cities worldwide, including Silicon Valley, New York, Los Angeles and London. See our upcoming courses here: http://bit.ly/2vrJ5iT In addition to classes, each of our campuses host weekly events with top industry professionals about Product Management, Data, Coding and Blockchain. Click here to see what we have coming up: http://bit.ly/2qHMQf7 Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. 📓 The Product Book has arrived! Learn how to become a great Product Manager. Get your copy here: http://amzn.to/2uJqg9A #ProductManagement #ProductSchool #Upskill #TechEducation #Education #Product #TechStartup #FinTech #Business #ProductManager #ProdMgmt
Views: 631 Product School San Francisco
What does it mean to embed the intelligence from Big Data into new product development (NPD)? How will Big Data power consumer products and services in the era of Analytics 3.0? In this webinar, Tom Davenport and Kobi Gershoni partner to answer these questions and describe the changing landscape of Big Data in NPD. They will explain the practical challenges facing organizations today, and share the key success factors for embedding Big Data in the new product development cycle. Visit: innovationexcellence.com/bigdata
Views: 922 innovationexcellence
Big Data -- yet another buzz word. But what is it? This video has big data explained in laymen terms. Big Data is simply our ability to take massive amounts of data and derive a narrative from it. Not too long ago, performing analytics on such massive amounts of data was infeasible. The popularity of distributed computing and parallel computing allowed for "Big Data". In technical terms, we only scratch the surface. But consider this video: Big Data Simplified with Big Data Examples. Big Data Marketing is also picking up. In this video we show you how major companies like Walmart, Netflix & Facebook use Big Data in their marketing & sales efforts to drastically increase their profits & presence. Small companies & startups are also taking advantage of big data analytics & big data companies to target their customers inexpensively. We hope you enjoy this video on Big Data Marketing :) We'd love to hear your thoughts -- write us a comment! Interested in more like this? Check out our video on "What is Growth Hacking? ": https://www.youtube.com/watch?v=oCV2DBhNKf8 Check out our video on "Minimimum Viable Product": https://www.youtube.com/watch?v=qbbt2YbqMPY Subscribe to our channel to keep updated! :) If you want more quality content and a guide on self-education, then check out our website at: www.skipmba.com SkipMBA big data examples | What is big data? | big data netflix | big data simplified | big data walmart | big data facebook | big data oculus | big data virtual reality | big data explainer video | big data marketing examples | companies who use big data | what is big data marketing?, | big data explainer video
Views: 18322 Mango Research
elastic search - laravel 5 big data - products bulk batch indexing , searching
Views: 6890 Arjun Yonjan
This Big Data Video will help you understand how Amazon is using Big Data is ued in their recommendation syatems. You will understand the importance of Big Data using case study. Recommendation systems have impacted or even redefined our lives in many ways. One example of this impact is how our online shopping experience is being redefined. As we browse through products, the Recommendation system offer recommendations of products we might be interested in. Regardless of the perspectives, business or consumer, Recommendation systems have been immensely beneficial. And big data is the driving force behind Recommendation systems. Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Amazon-BigData-S4RL6prqtGQ&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 29642 Simplilearn
Your data is being collected by corporations and governments, but is "big data" inherently bad?? Sponsor message: Cooler Master is a leader in PC cooling products. Check them out here: http://us.coolermaster.com/product/Lines/hyper-series.html Lifehacker article: http://lifehacker.com/what-is-big-data-and-whos-collecting-it-1595798695
Views: 273934 Techquickie
How do you create a data driven business? Hewlett Packard Enterprise can help empower a data driven organization, discover untapped potential with insights and harness the power of predictive analytics. HPE empowers enterprise businesses to personalize products, inspire collaboration and improve engagement. HPE can transform your business with on premise and cloud services. Want to learn more about enterprise data analytics tools? Learn more about the new style of business: http://hpe.to/6008BONFs SUBSCRIBE: http://hpe.to/6005BPznL Learn more at http://www.hpe.com HPE Twitter: http://hpe.to/6006BPzXK HPE Facebook: http://hpe.to/6008BPXum
Views: 610049 Hewlett Packard Enterprise
http://www.bigdataspain.org Abstract: http://www.bigdataspain.org/program/fri/slot-21.html Session presented at Big Data Spain 2015 Conference 16th Oct 2015 Kinépolis Madrid Event promoted by: http://www.paradigmatecnologico.com
Views: 405 Big Data Spain
Recorded on Mar 23 2016 at GCP NEXT 2016 in San Francisco. Businesses can improve visibility into the health of their products and services using data from connected devices, known as the Internet of Things (IoT). Learn how to use the big data and analytics capabilities of GCP to build end-to-end solutions that collect, transform, and analyze this torrent of IoT data. From connecting devices to generating business and customer insights from specific use-cases, learn how to to make IoT work for you. Speakers: Preston Holmes, Google & Gayathri Rajan, Google
Views: 18408 Google Cloud Platform
Intel's Genevieve Bell shows that we have been dealing with big data for millennia, and that approaching big data problems with the right frame of reference is the key addressing many of the problems we face today from the keynote of Supercomputing 2013.Subscribe now to Intel on YouTube: http://bit.ly/1BZDtpf About Intel: Intel, the world leader in silicon innovation, develops technologies, products and initiatives to continually advance how people work and live. Founded in 1968 to build semiconductor memory products, Intel introduced the world's first microprocessor in 1971. This decade, our mission is to create and extend computing technology to connect and enrich the lives of every person on earth. Connect with Intel: Visit Intel WEBSITE: http://intel.ly/1WXmVMe Like Intel on FACEBOOK: http://intel.ly/1wrbYGi Follow Intel on TWITTER: http://intel.ly/1wrbXC8 Follow Intel on INSTAGRAM: http://bit.ly/1OJuPTg Visit iQ: http://intel.ly/1wrbXCd The Secret Life of Big Data | Intel https://www.youtube.com/user/channelintel
Views: 84165 Intel
This series of videos introduces you to the various modules available in the Qlik Data Catalyst Enterprise Data Management platform. Videos will be released here in the Qlik Community: https://community.qlik.com/t5/Qlik-Data-Catalyst/ct-p/qlik-data-catalyst Prepare: https://www.youtube.com/watch?v=DZ-JmyX6AwI The Data Catalyst Catalog is an interactive Marketplace Dashboard that provides immediate insight and actions on entities across your data ecosystem. Here you can see all the data entities that are part of the Qlik Data Catalyst catalog. Every tile represents a different entity or table of data. These entities were either onboarded into the catalog from an enterprise data source, or even created directly through a Qlik Data Catalyst data preparation job.
Views: 3507 Qlik
John V Willshire founded Smithery in 2011: a product and marketing innovation studio which helps companies make things people want, rather than make people want things.
Views: 616 ad:tech, iMedia & MMS London
2015 Fall 6893 Big Data Analytics.
Views: 199 Roger Shen
Leading data scientists and technology executives from GE, LinkedIn, IBM, Informatica and Skanska are discussing the latest Big Data tools and technologies at the Rethink Technology conference.
Views: 45 TheCTOFORUM
Databricks CEO Ali Ghodsi introduces Databricks Delta, a new data management system that combines the scale and cost-efficiency of a data lake, the performance and reliability of a data warehouse, and the low latency of streaming. For more information on Databricks Delta, check out announcement here: https://databricks.com/blog/2017/10/2... And learn more about the product itself here: https://databricks.com/product/databr...
Views: 9063 Databricks
http://www.ibm.com/bigdata For consumer products (CP) manufacturers, big data analytics are fueling improved business outcomes by applying new analytics capabilities on more data than ever before. This demonstration illustrates the value of big data for marketing performance visibility critical to gauge the success of a new product launch and how big data drives deeper consumer insights in organizations seeking a more direct 1-to-1 dialogue with consumers to increase brand loyalty and equity.
Views: 1696 IBM Analytics
Phunware’s mobile applications platform allows some of the biggest brands in the world to deliver great mobile experiences and reach mobile app users with relevant content. Phunware’s mobile applications platform allows some of the biggest brands in the world to deliver great mobile experiences and reach mobile app users with relevant content. To achieve this at scale, Phunware uses Neo4j as the engine to power a knowledge graph connecting more than a billion nodes. In this week’s five-minute interview (conducted at GraphConnect 2018 in NYC), we spoke with James Gray, Director of Product for Big Data at Phunware about their use of Neo4j . #KnowledgeGraph #BigData #MobileApplications
Views: 95 Neo4j
Did you know that Oticon also works with Big Data & AI? Watch the video to learn how we use these technologies to create superior hearing healthcare products making a life changing difference for people worldwide. Read more about career opportunities with us here: https://goo.gl/HuS2CK
Views: 1143 Oticon People First
From predicting the future to preparing for it, we list down top three reasons why this one is for keeps: - Get a peek into how Uber analyses historical data, uses it as a benchmark and predicts future action - Get pointers from the best in the industry, Sai Alluri part of Uber’s PRO team - Learn how to leverage analytics to stave off competition Read More about How Uber Uses Data Analytics For Supply Positioning & Segmentation: https://blog.upgrad.com/how-uber-uses-data-analytics-for-supply-positioning-and-segmentation/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_Data&utm_content=YouTube_Video_Data_Uber_Positioning_Blog Haven’t had enough? Want to know more about this case-study or various other real-life examples from many other industry leaders who have partnered with UpGrad? Check out the UpGrad-IIIT Bangalore PG Diploma in Data Analytics Program now!: https://upgrad.com/data-science/?utm_source=YouTube&utm_medium=Organic_Social&utm_campaign=YouTube_Video&utm_term=YouTube_Video_Data&utm_content=YouTube_Video_Data_Uber_Positioning UpGrad takes pride in constantly churning out content that is contemporary, written by subject matter experts and delves into the world of Data Science, Big Data, Digital Marketing, Entrepreneurship, Product Management, Machine Learning and Artificial Intelligence, Software Development on regular basis. Stay on top of your industry by interacting with us on our social channels: Follow us on Instagram: https://instagram.com/upgrad_edu Like us on Facebook: https://www.facebook.com/UpGradGlobal Follow us on Twitter: https://www.twitter.com/upgrad_edu Follow us on LinkedIn: https://in.linkedin.com/company/ueducation
Views: 15027 upGrad
Data rates are growing some 40% each year, and the sheer amount of data has outstripped common analytics and staffing levels — creating a serious data analysis gap. To move forward, organizations must transform big data into smart data, which means being able to analyze data on a massive scale and quickly use it to provide deeper insights, create new products, and differentiate services. New data science is built on velocity (fast moving data), variety (different kinds of data), and volume (large amounts of data). This panel will explore what kinds of approaches and analytic tools are now being used and to what end. It will also examine the opportunities, risks, and likely developments the near future holds as analysis helps us transform the commodities of big data into valuable smart data. Drake Baer Robert Schukai Don Tapscott Guruduth Banavar Bill Thoet, Moderator
Views: 32684 The Aspen Institute
Big Data from Space: Actionable Intelligence on Earth Date(s) - Wed Oct 22, 2014 6:00 pm - 8:30 pm Location Stanford GSB: Cemex Auditorium at the Knight Management Center Dramatic disruptions to Earth observation are being delivered by ambitious startups that are launching large fleets of small, interconnected satellites and developing cutting-edge analytics. The number of earth-gazing satellites has nearly doubled in 2014 alone. With views into daily global activity being refreshed at a faster rate than ever before, selling raw pixels and signals is not enough to satisfy industry demands. It is these startups that are changing how we use Big Data in business here on earth. Responding to ever-expanding industry demands by delivering “near real-time” data and developing cutting-edge analytics at a lower cost, these startups are providing actionable insights for many industries. Finance, insurance, agriculture, forestry, fishing, mapping, manufacturing, shipping, mining, sustainable industries, and energy enterprises are using eyes and ears in the sky to make better decisions and improve operational efficiency with actionable data sent ultimately from space. As funding moves rapidly from government to commercial, the global market for satellite-sourced intelligence is predicted to grow by over $5 billion by 2019. Venture capital firms such as DFJ Venture and Khosla Ventures are investing in innovative startups, with successful exits like the recent acquisitions of satellite operator Skybox Imaging by Google for $500 million and climatology Big Data analytics venture The Climate Corporation by Monsanto for nearly $1 billion. Why are industry giants eager to consume data from the sky? Which markets will be transformed using Big Data from Space? Join us on Wednesday October 22, 2014 to find out. Moderator: Amaresh Kollipara, Principal, Space Angels Network, and Managing Partner, Earth2Orbit Panelists: Pavel Machalek, CEO, Spaceknow Theresa Condor, Vice-President Sales & Business Development, Spire Robbie Schingler, Co-Founder, President and COO, Planet Labs Shay Har-Noy, Ph.D, Senior Director – Geo-spatial Big Data, DigitalGlobe Julian Mann, Co-Founder and Vice-President Product Management, Skybox Imaging (acquired by Google) Demo Companies**: Mapbox | Spaceknow | DauriaGEO | UrtheCast | Alanax | Silicon Valley Space Center | SETI ** Follow (@VLAB) on Twitter and Event Hashtag #VLABsi
Views: 18268 vlabvideos
Are you using ORTEC Routing and Dispatch, ORTEC Service Planning, ORTEC Workforce Scheduling and/or ORTEC Inventory Routing? Then you might want to learn more about our Big Data Portal. The ORTEC Big Data Portal is an Analytics as a Service solution that helps you store, manipulate and analyze data in flexible reports. With the portal, you can add insights to our world-class optimization products. Data is stored in a secure environment and can be processed quickly to generate advanced visualizations and reports. More info? www.ortec-consulting.com [email protected] +31 88 678 3265
Views: 647 ORTEC Consulting
David Schimel of NASA’s Jet Propulsion Laboratory discusses big data and open data for ecological remote sensing. Learn more about NEON and NEON data products at http://www.neonscience.org. Suggested citation for this video: National Ecological Observatory Network. August 30, 2016. Big Data, Open Data and Biodiversity: A Presentation [Video file]. Courtesy: Battelle. Retrieved from https://youtu.be/SpDi2kZTkC0.
Views: 751 NEON Science
See what's new in our latest version - http://www.talend.com/products The Google Cloud Platform, in conjunction with Talend’s support for Google BigQuery, Dataproc, and Pub/Sub allows businesses to rapidly create data lakes, execute high-performance cloud data warehousing, and gain real-time insight through streaming analytics despite of the volume and type of the data.
Views: 2161 Talend
Zulily is one of the largest e-commerce companies in the United States. “Data-driven decision making” is part of zulily's DNA. Rapid sales growth and an ever-changing assortment of new products have triggered exponential growth and required zulily to redesign the way they process, analyze and use data. Improving their online experience to be more relevant to customers required putting this massive data to work as well as undergoing many iterations to their technical systems. Join big data experts from Google Cloud Platform and zulily to learn and discuss: -Best practices and implementation strategies to drive value from big data using various products such as Google BigQuery and Hadoop, so technical teams can scale product efforts quickly -How Zulily uses Google Cloud Platform to improve customer experience, increase sales, and increase relevance via their marketing initiatives -Key leadership and technical benefits and risks to be aware of as you plan, execute and optimize your big data implementation strategy across one or multiple business units
Views: 5679 Google Cloud Platform
How PepsiCo's Big Data Strategy is Disrupting CPG Retail Analytics Like all consumer packaged goods (CPG) companies, PepsiCo relies on huge volumes of data to accurately replenish its retailers with the appropriate amount and type of product. Across the CPG industry, most analysts exclusively rely on Excel and Access for data wrangling, but as PepsiCo’s data surpassed the capabilities of those tools, they knew they needed a better way. By adopting Hortonworks, Trifacta, and Tableau, PepsiCo has been able to automate the bulk of their regular data preparation processes and improve the speed and accuracy of their reporting. In this webinar, supply chain leaders from PepsiCo will discuss: • Why adopting a Hadoop platform was critical for increased speed and agility • How next-gen data wrangling decreased PepsiCo’s analytic build time by 90% • How PepsiCo leverages data visualizations for million-dollar sales decisions This webinar is in partnership with Trifacta and Hortonworks.
Views: 5087 Tableau
Targeted drug therapies are showing promise in combatting cancer, but classical clinical trials are poorly suited to matching them to the thousands of variations of cancer caused by different DNA mutations. Big data techniques offer a way to analyze data pooled across many patients: their specific disease mutations, biological markers, the treatments, and outcomes -- in order to identify unexpected ways that existing therapies can be applied and combined to create personalized treatments that dramatically improve the chances of survival. Neil Hunt has spent the past decade as Chief Product Officer at Netflix, and among other things, developing big data techniques to crowdsource movie and TV recommendations using billions of viewing records from millions of customers. In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 7144 TEDx Talks
This video is part of an online course, Google Cloud Platform Big Data and Machine Learning Fundamentals from Google Cloud. Enroll today at https://www.coursera.org/learn/gcp-big-data-ml-fundamentals?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=googlecloud to get access to the full course. About this course: This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. At the end of this course, participants will be able to: • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform • Employ BigQuery and Cloud Datalab to carry out interactive data analysis • Choose between Cloud SQL, BigTable and Datastore • Train and use a neural network using TensorFlow • Choose between different data processing products on the Google Cloud Platform Visit https://www.coursera.org/learn/gcp-big-data-ml-fundamentals?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=googlecloud to learn more! Specialization: https://www.coursera.org/specializations/gcp-data-machine-learning?utm_source=yt&utm_medium=social&utm_campaign=channel&utm_content=googlecloud Keep in touch with Coursera! Twitter: https://twitter.com/coursera Facebook: https://www.facebook.com/Coursera/
Views: 379 Coursera
Join Europe's leading Laravel conference in 2019. 23th May in Madrid & 28th–30th Aug in Amsterdam. Get Tickets http://laracon.eu/2019
Views: 1471 Laracon EU
Fabrice Brégier, CEO chez Airbus, nous parle des apports des solutions Big Data d'Oracle au sein de son entreprise. En savoir plus sur les offres BigData Oracle : https://www.oracle.com/fr/big-data/products.html Abonnez-vous à notre chaîne : https://www.youtube.com/user/OracleAppsFrance?sub_confirmation=1 Suivez-nous sur Twitter : https://twitter.com/Oracle_France Suivez-nous sur LinkedIn : https://www.linkedin.com/company/1028/ Visitez notre : https://www.oracle.com/fr/index.html
Views: 375 Oracle France
The SFA™12K product family is designed to derive peak performance out of your compute investments with a massive I/O infrastructure and multi-media disk drives that maximize system performance and lower storage investment costs. The SFA™12K product family is purpose-built to simplify and tame big data growth, enabling you to architect and scale your environment more intelligently, efficiently and cost effectively than ever before. Learn More at: http://www.ddn.com/en/products/SFA12K
Views: 3320 DDN Storage
Your data feed is the key to promoting your products online. It contains all the information about what you’re selling, like a product’s brand, price, and availability. Have a larger inventory of a few hundred products? Watch the video to learn how to create and upload your data feed using Google Spreadsheets, and show shoppers what you’ve got. If you’ve got a smaller inventory, check out the video here: https://youtu.be/dq2VlBbqTL4 Learn more: google.com/startwithshopping
Views: 77650 Google for Retail
Join Dominic Gadoury's (mentor in The Product Mentor) conversation on Why Every Product Manager Needs to Know Big Data. The Product Mentor is a program designed to pair Product Mentors and Mentees from around the World, across all industries, from start-up to enterprise, guided by fundamental goals...Better Decisions. Better Products. Better Product People.. The Product Mentor is a program designed to pair Product Mentors and Mentees from around the World, across all industries, from start-up to enterprise, guided by fundamental goals...Better Decisions. Better Products. Better Product People.
Views: 241 TheProductWay
This talk was given at a local TEDx event, produced independently of the TED Conferences. 2,500,000,000,000,000,000 bytes of data (2.5 exabytes) every day is what we currently generate. The mid-decade turning point we are now experiencing is an unprecedented ability to process these data, to generate insights. These insights, gleaned from new data processing techniques, can impact how we shop, how we find jobs, dating, and even how doctors diagnose illnesses. Dr. Charles W. Stryker is the Founder and President of a professional advisory firm, Venture Development Center, Inc. (VDC), and he has been recently recognized as the Data Innovator of the Year 2013. His business has a focused practice of assisting “Big Data” firms in creating, developing and commercializing Information Services properties. He has served on the board of a number of both public and private companies. His current board appointments include: Avention, Data Mentors, Datamyx, Geoscape, Innography, Jobvite, NetFactor, Netwise, RDC, The Retail Equation, Triton Technologies, and V12. Dr. Stryker has received the BS and MS degrees in Electrical Engineering and the Ph.D. in Computer Science from New York University. He has been an active speaker and author on the topic of database product development. In addition to these academic credentials, from 1991 to 1999 Dr. Stryker was a part time faculty member at the University of Pennsylvania, Wharton School where he taught a number of courses in its Entrepreneurial Center. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 133981 TEDx Talks
In this video, William Vambenepe explains some big data basics and provide a survey-level introduction to Google Cloud's big data tools, including Google BigQuery, Cloud Dataproc, Cloud DataLab and Cloud Dataflow. You'll learn how to harness the power of big data with these tools, so that you can turn insights into strategies for your own organization. Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k
Views: 6895 Google Cloud Platform
Technology innovates faster than some companies can keep up with, but not Kantar Media. Join us for this webinar as Will Rompala, VP Product Technology at Kantar Media, walks through his Big Data project that transformed one of Kantar's older portfolio products into a new offering that is relevant and necessary for today's demands. Will will discuss the business need, the challenges and the solution for how he started his Big Data journey. See More at: www.thinkbiganalytics.com
Views: 290 Think Big Analytics, A Teradata Company
Ethics of Big Data is about finding alignment between an organization's core values and their day-to-day actions in a way that balances risk and innovation. As Big Data brings business operations and practices deeper and more fully into individual lives, it is creating a forcing function that raises ethical questions about our values around concepts like identity, privacy, ownership, and reputation. How we understand those values and align them with our actions when innovating products and services using Big Data technologies benefits from a framework that provides a common vocabulary and encourages explicit discussion. The material will address the intersection of ethics and Big Data; what it is and what it isn't. Specifically, how to approach and generate dialog about an abstract subject with direct, real-world implications. A general framework for talking about ethics in the context of Big Data will be introduced. Aspects include: -Direct relevance to your data handling practices -How Big Data is influencing important concepts including identity, privacy, ownership, and reputation -Ethical Decision Points -Value Personas as a tool for encouraging discussion and generating agreement and alignment between values and actions -Balancing the benefits of Big Data innovation and the risks of harm The webcast will present key concepts from the forthcoming book Ethics of Big Data About Kord Davis: Kord Davis is a former Principal Consultant with Cap Gemini and has spent nearly 20 years providing business strategy, analysis, and technical consulting to over 100 organizations of all sizes including: Autotask, Microsoft, Intel, Sisters of Mercy Healthcare, Nike, Bonneville Power Administration (BPA), Northwest Energy Alliance (NEEA), Bill & Melinda Gates Foundation, Western Digital, Fluke, Merix, Roadway Express, and Gardenburger. Integrating a professional background in telecommunications and an academic background in philosophy, he brings passionate curiosity, the rigor of analysis, and a love of how technology can help us do the things we really want to do better, faster, and easier. A formally trained workgroup facilitator, he holds a BA in Philosophy from Reed College and professional certifications in communication, systems modeling, and enterprise transformation. Produced by: Yasmina Greco
Views: 5395 O'Reilly
http://www.skf.com/group/our-company/letstalk How can we turn Big Data into Smart Data? What business models are needed? Should our data be open or closed? Hear what the experts are saying about how Big Data is transforming the manufacturing industry. Want to learn more? Watch the video. Here are the different topics covered: - Evolution of Big Data in industry 1:16 - Examples at work today 5:18 - How engineers are affected 10:10 - Open or closed data 11:31 - Predictions for the future 16:05 Read more about business models, Rolls-Royce and how the Internet of Things (IoT) transforms companies at http://www.ptc.com/go/hbr With 30 years of experience in diagnostics and analysis software, SKF knows the benefits of Big Data in Manufacturing. But just like many manufacturers, the difficulty today is to find ways to turn big data into smart data and create the most value. Find out where industry is heading in this digitalized world. Let’s Talk Big Data and get some answers. #LetsTalkBigData SKF is changing the world through the power of knowledge and engineering. SKF started in 1907 as a bearing company, but today we make everything from lubrication systems to mechatronics. You can find our products & solutions in almost anything that rolls or moves, from space shuttles to skateboards. Subscribe: Don’t forget to subscribe to our YouTube channel and like us on Facebook http://www.facebook.com/SKFGroup for daily updates.
Views: 18520 SKF Group
👉 Subscribe here: http://bit.ly/2xMQLbS 🕊️ Follow us on Twitter: http://bit.ly/2xAQklN 💙 Like us on Facebook for free event tickets: http://bit.ly/2xPfjkh 📷 Don’t forget to follow us on Instagram: http://bit.ly/2eHmfJp Get the presentation slides here: http://bit.ly/2r0rmIA Find out more about us: http://bit.ly/2vKyPxW 💻 Understanding how to access and interpret data is critical for the modern Product Manager. In this session, a data scientist at Airbnb taught the basics in data-informed thinking as well as resources and tools for SQL, python and R. She discussed how you can up-level your skills in interpreting A/B tests, incrementally, and when and why to use Machine Learning techniques. Dr. Theresa Johnson is a data scientist on Supply Growth at Airbnb, a two-sided marketplace for travel. She also steps in to product manage for her team, and recently shipped Paid Photography globally. Dr. Johnson came to data science with a PhD in Aeronautics and Astronautics from Stanford University. She currently serves as a founding board member for Street Code Academy, a non-profit dedicated to connecting culture, community and technology in East Palo Alto. She also serves on the special panel on data science interviewing and is a co-founding member of Stddev (Standard Deviation), Airbnb's employee resource group for Underrepresented Minorities in technical fields. Theresa is passionate about extending technology access for everyone and finding mission driven companies that can have an outsized impact on the world. Chapter 1 1:25 What is data science? Chapter 2 2:20 What characteristics should you expect from a data scientist? Chapter 3 5:00 Data informed, not data driven Chapter 4 6:55 Challenges that a Product Manager faces with data scientists Chapter 5 8:10 Who are the data scientists? Chapter 6 10:05 The data stack levels Chapter 7 14:25 Centralized, embedded and hybrid model Chapter 8 19:15 Airbnb principles for decision-making Chapter 9 20:25 Cross-functional teams Chapter 10 21:40 Leveraging data insights Chapter 11 24:05 Machine learning vision at Airbnb Chapter 12 30:20 Experimentation at Airbnb Chapter 13 33:50 Unique characteristics about experimentation at Airbnb Chapter 14 38:35 Launching professional photography at Airbnb Chapter 15 57:10 Questions from the audience ABOUT US: We host product management, data and coding events every week in Silicon Valley, San Francisco, Los Angeles, Santa Monica, Orange County and New York. Click here to see what we have coming up: http://bit.ly/2gOwkoa Product School is the world’s first tech business school. We offer certified Product Management, Coding, and Data courses; our instructors are real-world managers working at top tech companies such as Google, Facebook, Snapchat, Airbnb, LinkedIn, PayPal, and Netflix. Our classes are part-time, designed to fit into your work schedule, and the campuses are located in Silicon Valley, San Francisco, New York, Orange County and Los Angeles. Product leaders from local top tech companies visit Product School campuses each week. Through lectures, panel discussions, and a variety of other forums, the world’s top product managers visit Product School to provide invaluable real-world insights into critical management issues. If you want to become a product manager in 8 weeks, see our upcoming courses here: http://bit.ly/2vKyPxW 📓 The Product Book has arrived! Learn how to become a great Product Manager. On sale for a limited time. Get your copy here: http://amzn.to/2uJqg9A #ProductManagement #ProductSchool #Upskill #TechEducation #Education #Product #TechStartup #FinTech #Business #ProductManager #ProdMgmt
Views: 10644 Product School San Francisco
Deep Learning: Intelligence from Big Data Tue Sep 16, 2014 6:00 pm - 8:30 pm Stanford Graduate School of Business Knight Management Center – Cemex Auditorium 641 Knight Way, Stanford, CA A machine learning approach inspired by the human brain, Deep Learning is taking many industries by storm. Empowered by the latest generation of commodity computing, Deep Learning begins to derive significant value from Big Data. It has already radically improved the computer’s ability to recognize speech and identify objects in images, two fundamental hallmarks of human intelligence. Industry giants such as Google, Facebook, and Baidu have acquired most of the dominant players in this space to improve their product offerings. At the same time, startup entrepreneurs are creating a new paradigm, Intelligence as a Service, by providing APIs that democratize access to Deep Learning algorithms. Join us on September 16, 2014 to learn more about this exciting new technology and be introduced to some of the new application domains, the business models, and the key players in this emerging field. Moderator Steve Jurvetson, Partner, DFJ Ventures Panelists Adam Berenzweig, Co-founder and CTO, Clarifai Naveen Rao, Co-founder and CEO, Nervana Systems Elliot Turner, Founder and CEO, AlchemyAPI Ilya Sutskever, Research Scientist, Google Brain Demo Companies**: Clarifai | SkyMind | Ersatz Labs | AlchemyAPI ** Follow (@VLAB) on Twitter and Event Hashtag #VLABdl
Views: 547877 vlabvideos
Zoomdata is the fastest visual analytics product for big data available on the market. Here we will talk about how RxJava became the key component in its architecture. I want to share our experience with reactive programming and RxJava so that audience will learn about “good” and “bad” stuff based on a real and cool product. Besides, we will talk about performance implications and integration with “big names”, including Apache Spark. Of course, demo included.
Views: 590 jeeconf
Steve Clarke, vice president, ISO Government Relations, provides insights into the regulatory challenges associated with the use of big data, data analytics, and nontraditional data sets. To learn more, visit verisk.com/governance.
Views: 125 Verisk