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AtScale

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  • Going the Full Hadoop for BI: Why & How EBates Did It
    Going the Full Hadoop for BI: Why & How EBates Did It Mark Stange-Tregear, Analytics, Ebates, Dan Kogan, Product Marketing, Tableau, Dan Wilson, Parter Channel, Cloudera Recorded: Mar 15 2017 46 mins
    How do you manage data and deliver insights when data volumes are exploding? Does this modern data challenge require more than a ‘traditional’ approach?

    With 30 million+ members globally and hundreds of terabytes of data, Ebates' BI Team moved to a non-traditional approach as a matter of necessity. They defined what a non-traditional approach looks like and kept their Tableau business users happy.

    In this webinar, EBates BI leader, Mark Stange-Tregear, will share why and how his team successfully transitioned from traditional BI on a traditional data-warehouse, to "all in" self-service BI on Hadoop.

    Join us for this live presentation to learn:

    1) Why: Why he chose to run BI on Hadoop at Ebates.
    2) How: How Ebates made the transition; the plan, challenges and end-goals.
    3) What: What he actually did, what he achieved, and lessons learned
  • 5 Traps to Avoid and 5 Ways to Succeed with Big Data Analytics
    5 Traps to Avoid and 5 Ways to Succeed with Big Data Analytics Hal Lavender, Chief Architect, Cognizant, Thomas Dinsmore, BI & Big Data Expert, Josh Klahr, VP Product Management, AtScale Recorded: Jan 24 2017 59 mins
    When it comes to Big Data Analytics, do you know if you are on the right track to succeed in 2017?

    Is Hadoop where you should place your bet? Is Big Data in the Cloud a viable choice? Can you leverage your traditional Big Data investment, and dip your toe in modern Data Lakes too? How are peer and competitor enterprises thinking about BI on Big Data?

    Come learn 5 traps to avoid and 5 best practices to adopt, that leading enterprises use for their Big Data strategy that drive real, measurable business value.

    In this session you’ll hear from Hal Lavender, Chief Architetect of Cognizant Technologies, Thomas Dinsmore, Big Data Analytics expert and author of ‘Disruptive Analytics: Charting Your Strategy for Next-Generation Business Analytics, along with Josh Klahr, VP of Product, as they share real world approaches and achievements from innovative enterprises across the globe.

    Join this session to learn…

    - Why leading enterprises are choosing Cloud for Big Data in 2017
    - What 75% of enterprises plan to drive value out of their Big Data
    - How you can deliver business user access along with security and governance controls
  • Do's and Don'ts of BI on Hadoop
    Do's and Don'ts of BI on Hadoop David Mariani, CEO of AtScale Recorded: Dec 14 2016 60 mins
    Trying to make Hadoop work with your BI tools (Tableau, Excel, Qlik, MicroStrategy, Pentaho...etc?). Join this interactive webinar and find out how to make it work!

    In this webinar, you will learn:

    - The Pitfalls of Big Data: What matters and what's a distraction OLAP on Hadoop: The best architectural options (ROLAP, MOLAP, in-memory)
    - Data Warehouse Design: the benefits of schema on demand vs. schema on load

    About the Speaker: Dave Mariani, CEO, AtScale

    Dave Mariani ran Yahoo! data pipelines and analytics teams at the time Hadoop was born. After Yahoo!, he went on to run engineering at Klout, where he managed a 200+ node cluster and Hive Data Warehouse of over one trillion rows. He now leads AtScale Inc, helping Fortune 100 customers run their BI on Big data.
  • The Ideal Architecture for BI on Big Data
    The Ideal Architecture for BI on Big Data Scott Gidley, VP of Product Management - Zaloni Recorded: Nov 29 2016 46 mins
    Watch this Webinar and learn how to reconcile the changing analytic needs of your business with the explosive pressures of modern big data.

    Leading enterprises are taking a "BI with Big Data" approach, architecting data lakes to act as analytics data warehouses. In this session Scott Gidley, Head of Product at Zaloni is joined by Josh Klahr, Head of Product at AtScale. They share proven insights and action plans on how to define the ideal architecture for BI on Big Data.

    In this session you will learn how to:

    - Make data consumption-ready and take advantage of a schema-on-read approach
    - Leverage data warehouse and ETL investments and skillsets for BI on Big Data
    - Deliver rapid-fire access to data in Hadoop, with governance and control
  • 5 Ways To Scale BI on Hadoop
    5 Ways To Scale BI on Hadoop Hal Lavendar, Chief Architect, Cognizant; Nino Bice, Principal Architect, Microsoft Recorded: Nov 16 2016 47 mins
    At a recent online session Josh Klahr, VP of Product Management at AtScale discussed the top challenges of scaling BI on Hadoop with Nino Bice, Principal Product Manager at Microsoft, and Hal Lavendar, AVP and Chief Architect at Cognizant Technologies. Join this session as they discuss the 5 key ways to meet those challenges head-on. They'll cover how to:

    - Address the top 5 challenges of scaling BI on Hadoop
    - Overcome obstacles and bridge the BI and big data gap
    - Achieve scale, speed and success with BI on Hadoop
  • BI-on-Hadoop Performance Benchmark: SQL Engine Wars Continue and Everybody Wins
    BI-on-Hadoop Performance Benchmark: SQL Engine Wars Continue and Everybody Wins Josh Klahr, VP of Product Management, AtScale, Trystan Leftwich, Sr. Engineer, AtScale Recorded: Oct 12 2016 59 mins
    When it comes to supporting BI-on-Hadoop workloads which SQL engine works best: Impala, Hive, Presto, or Spark SQL?

    As Hadoop and the SQL-on-Hadoop engines mature, leading enterprises are throwing on more diverse workloads and getting highly performant results. Hadoop is no longer relegated to a platform for data science or batch processing - now companies are also pushing traditional Business Intelligence workloads to Hadoop as well.

    Come learn and benefit from some surprising, and not so surprising, findings in the second edition of the largest BI-on-Hadoop Benchmark Study to date.

    You’ll hear from Josh Klahr, VP of Product and Trystan Leftwich, Sr. Architect, and learn about how the AtScale BI-on-Hadoop Benchmark tests real-life workloads (big data, small data, high concurrency) across multiple SQL-on-Hadoop engines (Impala, Spark, Hive, Presto...).

    Join this this session to learn…

    - Which SQL-on-Hadoop engines work best for which BI workloads
    - Key considerations to help you select which engine(s) are right for your use cases
    - How SQL-on-Hadoop engines continue to push performance boundaries with new innovations
  • Modernizing Business Intelligence on Big Data
    Modernizing Business Intelligence on Big Data Surya Mukherjee, Senior Analyst at OVUM, Dave Mariani, Founder & CEO, AtScale Recorded: Sep 13 2016 61 mins
    How do you bridge the gap between high expectations of entrenched BI users and the rapidly changing big data landscape? Diverse data types are now mainstream in every organization and analytics are a ubiquitous enterprise priority. Many companies struggle with reconciling the investment of proven BI with the power of modern big data lakes. But the solution is more obvious than you think.

    Join this session to learn from Surya Mukherjee of OVUM as he shares:

    ● Why the BI-Big Data gap is smaller than it seems
    ● How to leverage your SQL / OLAP / BI investments together with big data for immediate value
    ● What to do and what to avoid for success with BI on Big Data (with real-life customer stories)
  • How to Drive A BI on Hadoop Evolution
    How to Drive A BI on Hadoop Evolution Eric Sit,Quotient Technology (aka Coupons.com) - Director of Engineering, BI & Data Platform Recorded: Aug 3 2016 58 mins
    How Quotient's Data Leader Drove a BI on Hadoop Evolution

    Recorded Live: Aug 3, 2016

    As a leading site in the highly transactional online offers market, Quotient (aka Coupons.com) processes millions, and stores billions, of transactions daily. Immediate insight into what, when, and how those transactions take place is key to maintaining customer happiness and a competitive edge.

    How did Quotient innovate in the face of exploding data, while enhancing the value of existing investments in BI tools and skillsets? According to Eric Sit, Quotient’s Director of BI and Data Platforms, the key was starting a BI on Hadoop evolution.
  • Turbo-Charge BI on Hadoop
    Turbo-Charge BI on Hadoop Josh Klahr, VP of Product, AtScale Recorded: Aug 1 2016 45 mins
    Turbo-Charge BI on Hadoop: The Time is Now

    Want to turn your Hadoop cluster into a super-powerful, analytics data warehouse? Need to run BI queries on Hadoop at top speed?

    Watch this recording of a live best practice session. You'll see how leading companies are super-charging their BI on Hadoop by combining the power of Tableau with the scale of Impala, and accelerating it all with AtScale. In this session, leaders from Cloudera and Tableau share a real-world perspective on

    How to get super-fast performance from BI queries on Hadoop
    Deliver powerful self-service visualization directly on Hadoop
    Leverage existing BI and Hadoop investments to deliver more value to more users
  • How Amex's BI Leader Scaled BI for Big Data
    How Amex's BI Leader Scaled BI for Big Data Bryan Harrison, American Express - VP of Credit and Operational Risk Recorded: May 3 2016 53 mins
    This session features Amex's VP of Credit and Operational Risk BI, Bryan Harrison. At Amex, Bryan's BI team does risk and fraud analytics on billions of daily transactions to protect the business and its customers.

    How do you give 1000's of analysts access to big data from tools they already love and use --- like Tableau and Excel --- to do critical, real-time analytics?

    In this recorded session, Bryan shares best practices to achieve BI nirvana

    No more data movement - Maintain data fidelity
    No more pre-aggregation - Get nimble, move faster
    No more build and refresh on cubes - Save time & resources

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