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Blueprint: A Modern Data Architecture for BI on Hadoop

How Macy's Big Data Leader Innovated for Scale, Speed and Simplicity

Watch this recording of a live online session, featuring Seetha Chakrapany, Director of Analytic and CRM Systems at Macy's sharing his perspective on modernizing data architecture to enable BI on Hadoop. He's joined by Dan Kogan, Director of Product Marketing for Technology Partners at Tableau, and Eric Thorsen, Vice President, Industry Solutions at Hortonworks. They share trends and insights from the BI and Hadoop sides of the equation.

In this recorded session, we also cover the critical questions and answers that BI and data infrastructure leaders will need to consider:

What are the decision triggers for a change to data architecture?

How and why do you get started with BI on Hadoop?

What questions do you need to ask related to both the business and the technology?

Plus, we share best practices to achieve Hadoop nirvana: Manage your big data while giving analysts self-serve access to that data, via existing BI tools.
Recorded Mar 10 2016 60 mins
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Seetha Chakrapany, Director of Analytic and CRM Systems, Macy's
Presentation preview: Blueprint: A Modern Data Architecture for BI on Hadoop

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  • Panel Discussion: Predictions for BI and Big Data Analytics in 2018 Oct 24 2017 4:00 pm UTC 60 mins
    Matt Baird, AtScale; David Tishgart,Cloudera; Dan Kogan,Tableau
    Big data creation, collection and applications have influenced business decisions more than ever in 2017, and if advances in artificial intelligence, virtual reality, and enterprise applications continue to prove valuable ventures, 2018 will be even bigger.

    With this in mind, how businesses approach and advance their big data maturity and cloud strategy can make or break the year. Whether it's running Hadoop workloads on-premise, public cloud, or hybrid deployments; maintaining continuity among the data, the applications, and the users must be top of mind.

    This webcam panel discussion will cover:

    - The considerations for a hybrid-cloud strategy
    - How should organizations approach a multi-cloud strategy
    - What are the best use cases for cloud deployments?
    - Futures for Big Data in the cloud

    Panel speakers:

    Matt Baird, CTO and Co-Founder, AtScale
    Bruno Aziza, CMO, AtScale
    David Tishgart, Director of Product Marketing, Cloudera
    Dan Kogan, Director of Product Marketing, Tableau
  • Big Data Maturity Survey Results: Big Data is No Longer Experimental Recorded: Sep 25 2017 2 mins
    Abstract: Check out AtScales’ 2016 Big Data Maturity Survey Results in this fast 2min video summary including data from more than 2,550 Big Data pros, across over 1,400 companies and 77 countries. The AtScale Big Data Maturity Survey Report and scope is unparalleled and defines the current state of the industry providing real-world analysis to help you with your 2018 Big Data strategy.

    Watch now to discover key findings:

    - Close to 70% have been using Big Data for more than a year (vs. 59% last year)
    - 74% of respondents have more than 10 nodes, close to 20% have over 100 nodes
    - 73% of respondents now in production (vs. 65% last year)
    - 95% of respondents have achieved positive value or are anticipating they would
  • Best Practices to Drive Big Data Adoption Across Your Business Recorded: Sep 21 2017 19 mins
    Dave Mariani, CEO & Bruno Aziza, CMO, AtScale
    With more data comes more users and now control and security is a concern. We want to share lessons learned via use cases from leaders in the industry and key considerations that drive adoption and expansion of data analytics tool use. This power session will help your enterprise define key success factors in order to avoid end user pitfalls, leverage familiar tools and achieve faster results.

    Join us as Dave Shares:

    - Use cases and results
    - Reasons not to take data away
    - Key factors to define success

    About the Speakers:

    David Mariani: CEO and Co-founder Dave Mariani is a Technology executive with 25 years of experience in delivering Big Data, Consumer Internet, Internet advertising and hosted services platforms, creating nearly $600 million of enterprise value. He has created the world’s largest data platforms including a trillion row Hive data warehouse at Klout and the world's largest cube at Yahoo!.

    Bruno Aziza: Chief Marketing Officer Bruno Aziza has a Masters Degree in Economics and was educated in France, the U.K., Germany and the U.S. Prior to AtScale, Bruno ran Marketing at Microsoft, SAP/Business Objects and drove the ascension of big data startups like Alpine Data Labs and SiSense.
  • Empower Insights on Big Data with Familiar Tools + Age-Old Rules Recorded: Sep 12 2017 57 mins
    David Menninger, Analyst at Ventana Research, Josh Klahr, VP of Product, AtScale
    Have you conquered big data? Ventana Research reports 4 out of 5 organizations agreed analytics on big data is essential to future company success, however, in that same study, they found companies that succeeded in capturing all that data in one place didn’t always succeed in getting value out it. How can you ensure if you go ‘big data’ that you get the immediate return on your latest investment?

    Join this engaging session with David Menninger of Ventana Research as he shares:

    - Why analytics is your best bet to extract maximum value from big data (on-prem or cloud)
    - How new big data technology can complement existing platforms (no rip n replace)
    - How to capitalize on current analytics tools and skills (analysts and users, not just data scientists)
    - What you can do now, and next, to drive value from your big data (with real-life customer stories)

    About the presenters:

    David Menninger, Director, Ventana Research

    David is responsible for the overall research direction of data, information and analytics technologies at Ventana Research covering major areas including Analytics, Big Data, Business Intelligence and Information Management along with the additional specific research categories including Information Applications, IT Performance Management, Location Intelligence, Operational Intelligence and IoT, and Data Science.

    Josh Klahr, VP of Product, AtScale

    Josh is responsible for driving AtScale’s product roadmap and strategy to deliver what customers need to succeed, and has worked with data and analytics since 2000. He started his career as product manager for the first “Datamart in a Box” at Broadbase, and ran product management for one of the largest Data and Analytics operations in the world at Yahoo!. Before AtScale Josh was VP of Product Management at Pivotal, where he was responsible for Greenplum, Pivotal HD, and HAWQ. Josh received his undergraduate degree in Ferrous Metallurgy at Brown University and his MBA from Stanford.
  • Secrets for Success with EDW Optimization and Analytics on Big Data Recorded: Sep 8 2017 20 mins
    David Mariani, CEO and Co-founder; Bruno Aziza, CMO
    Your enterprise depends on your prowess in optimizing data and insights on that data. As your organization grows, so goes your data warehousing and BI needs. In this 20min power session, David Mariani, CEO at AtScale, and Bruno Aziza, CMO at AtScale, will share do's, don'ts and secrets to maximize for capacity, cost control and delivery of insights from the industry leader in making BI work on big data.


    David Mariani
    CEO and Co-founder Dave Mariani is a Technology executive with 25 years of experience in delivering Big Data, Consumer Internet, Internet advertising and hosted services platforms, creating nearly $600 million of enterprise value. He has created the world’s largest data platforms including a trillion row Hive data warehouse at Klout and the world's largest cube at Yahoo!.

    Bruno Aziza
    Chief Marketing Officer Bruno Aziza has a Masters Degree in Economics and was educated in France, the U.K., Germany and the U.S. Prior to AtScale, Bruno ran Marketing at Microsoft, SAP/Business Objects and drove the ascension of big data startups like Alpine Data Labs and SiSense.
  • How To Scale Business Intelligence Recorded: Aug 29 2017 21 mins
    Dave Mariani, CEO and Co-founder at AtScale and Bruno Aziza, CMO at AtScale
    The average BI tool is 22 years old. Don’t expect any of them to work natively with Big Data. Learn how to add speed, scale and security across all of your Big Data assets.

    Power Session Takeaways:

    - Cover the basics on how to scale business intelligence
    - Understand the challenges enterprises face
    - Review key considerations for a BI world in transition

    About the Presenters:

    CEO and Co-founder Dave Mariani is a Technology executive with 25 years of experience in delivering Big Data, Consumer Internet, Internet advertising and hosted services platforms, creating nearly $600 million of enterprise value. He has created the world’s largest data platforms including a trillion row Hive data warehouse at Klout and the world's largest cube at Yahoo!.

    Chief Marketing Officer Bruno Aziza has a Masters Degree in Economics and was educated in France, the U.K., Germany and the U.S. Prior to AtScale, Bruno ran Marketing at Microsoft, SAP/Business Objects and drove the ascension of big data startups like Alpine Data Labs and SiSense.
  • Data Flood Warning: How to Simplify Data Lake Environments Recorded: Jul 18 2017 58 mins
    Matt Aslett, Research Director at 451 Research, Lucio Daza, Technical Product Marketing Director at AtScale
    With storage costs declining over 20% in the last year, keeping your data is cheaper than throwing it away. Are you making the most effective use of your growing data lake? Depending on where you sit in your organization, the answer might be ‘no’, since every BI tool has its own requirements, and moving data to satisfy unique BI needs, takes more effort than just a file transfer.

    Join this webcast to learn why adding business logic to its architecture, Big Data environments can increase their simplicity regardless of the ingestion method.

    BI and Big Data veterans Matt Aslett, Research Director at 451 Research and Lucio Daza, Director of Technical Product Marketing at AtScale will deliver this session covering current industry trends, real use case scenarios and answering questions from the audience.

    In this webinar you will learn:

    - The ongoing challenges of data growth and how to manage it easily
    - How business logic adds value and simplicity to your Big Data environment.
    - The differences between traditional and emerging data-to-insight approaches.
  • BI on Big Data, Keys to Success for BI on Hadoop Recorded: Jun 21 2017 59 mins
    Matt Baird is CTO and co-founder of AtScale
    If you think Hadoop is not in your future, think again. According to a recent survey, 97% of organizations working with Hadoop, anticipate that they will onboard Analytics and BI workloads to Hadoop. When this happens, the companies that have disregarded the Big Data opportunity, may be left behind.

    The good news is that onboarding your Business Intelligence workloads to Hadoop is not as complicated as it used to be just a few short years ago. If you understand some key concepts, the transition can be a lot simpler and more successful - allowing you to recycle current skillsets, while avoiding both a rip and replace of your technical stack or replacement of business analysts with data scientists.

    In this interactive session, Matthew Baird, CTO and co-founder of AtScale, has Statistics and Computer Science double major from Queen’s University. He has built software and managed teams at companies like PeopleSoft, Siebel Systems and Oracle. He loves the open source movement, and building scalable, innovative enterprise software.

    *Don’t move and copy data
    *Don’t have multiple definitions of reality
    *Don’t scale up with proprietary hardware
    *Don’t lock yourself in proprietary stacks

    This session will also offer best practices on what to ‘DO’’ and a good set of rules in what Klahr calls the “Do’s and Don’ts of BI on Hadoop”.
  • What's Your Data Strategy? How Chief Data Officers Can Succeed with Big Data Recorded: Jun 20 2017 61 mins
    Jim Tyo Chief Data Officer at Nationwide, Tom Davenport Professor of Information Technology & Management at Babson College
    According to Gartner, 90% of large organizations will have hired a Chief Data Officer (CDO) by the end of next year. That’s the good news. The bad news: Gartner believes that only 50% will succeed. Do you feel you have the people, processes and technology required to become a successful CDO? This session is designed to help.

    In this engaging power session, Jim Tyo, Chief Data Officer at Nationwide and Tom Davenport, Harvard Business School, share the secrets behind building an effective “Office of the CDO”. They will focus on:

    - Hiring the right talent: what specific roles should you hire (and which ones should you avoid).
    - Establishing the right process: what practices yield the most results (and which ones will most likely cause you to fail)
    - Choosing the right technology: what technology is in, what technology is out (how you should map capabilities to ambition).

    Jim Tyo has been a Chief Data Officer for close to 10 years. Prior to Nationwide, he was CDO at large Fortune 500 companies BB&T and USAA. He brings a vast array of best practices and is a frequent keynote speaker. Tom Davenport, of Harvard Business School fame, is one of the top 3 business/technology analysts in the world and one of the 100 most influential people in the IT industry according to Fortune Magazine. He’s authored 18 books and written hundreds of articles on the topic of Business Analytics and Big Data. This session promises to be engaging and rich in information. Don’t forget to bring a notepad and a pen!

    Register now here.
  • EDW Optimization: A Modern Twist on an Old Favorite Recorded: May 23 2017 48 mins
    Carter Shanklin, Hortonworks; Josh Klahr, AtScale; Chad Wahlquist, Tyson Foods
    Inundated by the explosion and diversity of data across your enterprise? Unable to keep up with demands from data scientists, analysts and business users alike? Challenged with how to reconcile traditional EDW with modern Big Data?

    Join this webcast to learn how EDW Optimization will help you capitalize on your existing big data investments in tandem with modern innovations, streamline repetitive and complex ETL, and give users timely access to the data that matters, no matter where it begins its life.

    BI and Big Data veterans Carter Shanklin, Sr. Director of Product at Hortonworks and Josh Klahr, VP of Product at AtScale will deliver this interactive session covering insights, real-world experiences, and answering questions from the online audience.

    They’ll share real customer stories across industries and pain points to bring to life how you can use EDW Optimization today to drive insights across any and all of your enterprise data – quickly, simply, securely, and widely.

    Register to learn:
    -- Why EDW Optimization matters and is more than just a buzz-word
    -- How you can approach EDW Optimization in your own org to drive immediate value
    -- What one leading enterprise did to capitalize on the insight-gold' of their big data, and how you can too
  • Why the BI & Big Data Gap is Smaller Than it Seems Recorded: Apr 26 2017 63 mins
    Surya Mukherjee, Senior Analyst at OVUM, Dave Mariani, Co-founder & CEO, AtScale
    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:

    ● 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)

    SURYA Mukherjee is a senior analyst for Ovum’s Business Intelligence and Information Management team, responsible for analysis of enterprises’ business intelligence technology investment priorities, market forecast models, and product and vendor evaluations. Based in London, he is a thought leader and keynote speaker at events globally. Prior to Ovum, Surya worked with Deloitte Touche Tohmatsu and Evalueserve, earning an MBA in finance and bachelor’s in engineering, specializing in Electronics.

    DAVE Mariani, co-founder and CEO, started AtScale based on his many personal experiences building Business Intelligence solutions on Hadoop at companies like Yahoo! and Klout. As VP of Business Analytics at Yahoo!, he managed data pipelines and analytics ingesting 20TBs of data per day across multiple 4,000 node Hadoop clusters. At Klout, he created the world’s largest data warehouses including a petabyte Hive warehouse. After struggling with BI on big data existing technologies he decided it was time build what he couldn’t buy. As a BI guy who believes in and has been a hands-on with Big Data for over a decade, Dave has walked in his customers’ shoes. Dave started his journey with an Economics degree from UCLA.
  • Big Data Maturity Trends: How Do You Measure Up? Recorded: Mar 29 2017 60 mins
    Josh Klahr, VP Product, AtScale; Brandon Bunker, Sr Director Analytics, Vivint; Vijay Raja, Cloudera; Dan Kogan, Tableau
    Are you doing the right things with Big Data? How do your peers, and competitors, use it? Are you ahead of or behind the curve? Is on-premises or Cloud the best direction? Which workloads drive the fastest impact and biggest ROI?

    Join this webinar to learn details of the largest Big Data Maturity Survey, including why and what 2500+ Big Data and BI Enterprise Leaders choose for Big Data priorities in 2017.

    You’ll also hear from Brandon Bunker, Director of Customer Analytics and Intelligence at Vivint, IoT and Smart Home leader. With 1M+ customers generating >20K events per second. As pioneers in their space, Vivint had to get ahead of big data versus letting it get ahead of them. Brandon will share challenges, choices and lessons learned along his journey to deliver the ultimate customer experience and compete in today’s hyper-speed world.

    Join this interactive session to hear about the journey leading enterprises are making with Big Data. You will learn:

    Why leading enterprises are betting big on Big Data
    Which workloads can drive maximum value out of Big Data
    How to leverage Big Data for better customer experience + competitive advantage


    Josh Klahr, VP of Product, AtScale

    Josh is responsible for driving AtScale’s product roadmap and strategy to deliver what customers need to succeed, and has worked with data and analytics since 2000.

    Brandon Bunker, Sr. Director Analytics and Intelligence, Vivint

    Brandon Bunker is Sr. Director of Consumer Analytics and Intelligence at Vivint. Vivint is the leading home automation company in America. His team is responsible for creating real time digital products based on IOT data and machine learning.

    Vijay Raja, Solution Marketing Manager, Cloudera

    Vijay Raja is a Solutions marketing manager at Cloudera, where he is responsible for rolling out new and innovative big data solutions focused on key industry verticals.
  • Going the Full Hadoop for BI: Why & How EBates Did It Recorded: Mar 15 2017 46 mins
    Mark Stange-Tregear, Analytics, Ebates, Dan Kogan, Product Marketing, Tableau, Dan Wilson, Parter Channel, Cloudera
    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 Recorded: Jan 24 2017 59 mins
    Hal Lavender, Chief Architect, Cognizant, Thomas Dinsmore, BI & Big Data Expert, Josh Klahr, VP Product Management, AtScale
    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 Recorded: Dec 14 2016 60 mins
    David Mariani, CEO of AtScale
    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 Recorded: Nov 29 2016 46 mins
    Scott Gidley, VP of Product Management - Zaloni
    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 Recorded: Nov 16 2016 47 mins
    Hal Lavendar, Chief Architect, Cognizant; Nino Bice, Principal Architect, Microsoft
    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 Recorded: Oct 12 2016 59 mins
    Josh Klahr, VP of Product Management, AtScale, Trystan Leftwich, Sr. Engineer, AtScale
    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
  • How to Drive A BI on Hadoop Evolution Recorded: Aug 3 2016 58 mins
    Eric Sit,Quotient Technology (aka Coupons.com) - Director of Engineering, BI & Data Platform
    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 Recorded: Aug 1 2016 45 mins
    Josh Klahr, VP of Product, AtScale
    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
Make Business Intelligence Work on Big Data
With AtScale, you can put the power of your Big Data in the hands of business users. Empower IT and Business Analysts alike with self-service analytics, on big data, with all the performance and scale, and without compromising security or control. Follow us to hear from big data and business intelligence thought leaders and innovators how making business intelligence work on big data can make a big impact on your business.

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  • Presented by: Seetha Chakrapany, Director of Analytic and CRM Systems, Macy's
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