Videos

  • Apache Spark vs. Hadoop: Which Big Data Framework is the Best Fit?1:42

    Apache Spark vs. Hadoop: Which Big Data Framework is the Best Fit?

    A common question that organizations looking to adopt a big data strategy struggle with is - which solution might be a better fit, Hadoop vs. Spark, or both? To help answer that question, here’s a com

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  • Decisioning in the new normal - Raman Narasimhan, Vice President of Cognizant1:16

    Decisioning in the new normal - Raman Narasimhan, Vice President of Cognizant

    Raman Narasimhan underlines four key aspects to consider in the current climate from a data lake and analytics perspective.

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  • Qubole On-Demand - Data Engineering Demo16:17

    Qubole On-Demand - Data Engineering Demo

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  • Qubole On-Demand - Machine Learning Demo4:35

    Qubole On-Demand - Machine Learning Demo

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  • Qubole On-Demand - Ad-Hoc Analytics Demo6:13

    Qubole On-Demand - Ad-Hoc Analytics Demo

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  • Qubole On-Demand - An Introduction to the Qubole Open Data Lake Platform7:07

    Qubole On-Demand - An Introduction to the Qubole Open Data Lake Platform

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  • Domain-driven Data Architecture | Qubole1:15

    Domain-driven Data Architecture | Qubole

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  • Achieving Operational Excellence for data engineering - Shantanu Shirvastarva, Zeotap26:14

    Achieving Operational Excellence for data engineering - Shantanu Shirvastarva, Zeotap

    Zeotap saw a 10x growth with the number of data pipelines and amount of data processed growing at rapid pace in a short span of time. The increasing scale challenged our capability to track production

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  • Spark optimization with Sparklens - Rohit Karlupia, Qubole24:28

    Spark optimization with Sparklens - Rohit Karlupia, Qubole

    Debugging slow spark applications when done with trial and error, takes lots of time. Sparklens provides insights about scalability limits of spark applications from a single run of the application. I

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  • Indexing is Presto's Prince Charming - Ori Reshef, Varada20:38

    Indexing is Presto's Prince Charming - Ori Reshef, Varada

    Presto revolutionized the data lake. This smart query engine enables organizations to quickly adopt an effective data lake architecture that supports a wide range of workloads and use cases. But ever

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  • Modern Analytics and the Modern Data Lake - Joel McKelvey, Google Cloud19:53

    Modern Analytics and the Modern Data Lake - Joel McKelvey, Google Cloud

    Data environments are complex, but your data technology stack doesn’t have to be. Advances in data lake and analytics technologies now allow data teams to simplify their data stack, reducing unnecessa

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  • Apache Airflow - The present and the future - Sumit Maheshwari, Apache Airflow39:57

    Apache Airflow - The present and the future - Sumit Maheshwari, Apache Airflow

    In this talk, Sumit will talk about the current state of Apache Airflow and a couple of super cool features/enhancements of Airflow, which were added very recently or going to be added into the near f

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  • The Rise of Data Downtime: Making Observability a Pillar of your Data Lake - Monte Carlo Data31:48

    The Rise of Data Downtime: Making Observability a Pillar of your Data Lake - Monte Carlo Data

    Ever had your CEO look at a report and say the numbers look way off? Has a customer ever called out incorrect data in one of your product dashboards? If this sounds familiar, data reliability should b

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  • Your Data Lake is Moving to the Cloud - What About Your Security Policies? -  Privacera25:37

    Your Data Lake is Moving to the Cloud - What About Your Security Policies? - Privacera

    Presented by Srikanth Venkat, Privacera. Enterprises migrating to the cloud for increased agility and elasticity is the new reality. As such, the migration of analytic workloads from on-premises data

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  • Declarative Pipelines & Intelligent Orchestration - Data’s Missing Link - Sean Knapp, Ascend.io50:47

    Declarative Pipelines & Intelligent Orchestration - Data’s Missing Link - Sean Knapp, Ascend.io

    The last decade has brought significant advancements and innovations across the data management landscape, spanning large-scale processing engines, cloud-based data warehouses, next-generation data la

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  • Apache CarbonData: Data Storage for ACID Ingest, Fast Query, and Machine Learning - Huawei18:18

    Apache CarbonData: Data Storage for ACID Ingest, Fast Query, and Machine Learning - Huawei

    The growing volume of data requires skills to deal with dozens of new challenges like how to ingest streaming mutable data? How to build and cache index for a fast query? How to analyze data with ML?

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  • Data Lakes in a Real-time bidding environment - David Garty, Spotad17:55

    Data Lakes in a Real-time bidding environment - David Garty, Spotad

    As Spotad is supporting millions of queries per second, in order to make data reliable and easily accessible, a well-designed data lake is one of our most important business aspects. In this presentat

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  • Data Lakes Fundamentals and Best Practices - Lessons learned in Planning, Strategy, and Execution35:39

    Data Lakes Fundamentals and Best Practices - Lessons learned in Planning, Strategy, and Execution

    Presented by Shreya Pal, Cognizant Data lakes have been around for almost a decade since the term 'data lake' was first coined. The major breakthrough was the advent of cloud around big data technolo

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  • The Cloudscape of Data Lakes and Data Warehouses - Eddie White, Google Cloud22:12

    The Cloudscape of Data Lakes and Data Warehouses - Eddie White, Google Cloud

    As more analytics workloads shift to the cloud, more customers are motivated to 'unstick' their on-premises data warehouse, data lake, and analytics platforms. Join us to learn how Google Cloud and ou

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  • Making the Data Lake the Foundation of your Data Strategy - David Potes, AWS32:47

    Making the Data Lake the Foundation of your Data Strategy - David Potes, AWS

    The convergence of machine learning and the data lake offers businesses new opportunities to increase the pace of innovation, make better decisions, and win new customers. AWS has an incredible array

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