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5 Traps to Avoid and 5 Ways to Succeed with Big Data Analytics

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
Recorded Jan 24 2017 59 mins
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Presented by
Hal Lavender, Chief Architect, Cognizant, Thomas Dinsmore, BI & Big Data Expert, Josh Klahr, VP Product Management, AtScale
Presentation preview: 5 Traps to Avoid and 5 Ways to Succeed with Big Data Analytics

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  • BI on Big Data, Keys to Success for BI on Hadoop Recorded: Jun 21 2017 59 mins
    Josh Klahr, VP of Product, Atscale, Inc.
    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, Josh Klahr, VP of Product at AtScale, will take you through real-life examples of company successes with BI on Hadoop. He will dissect lessons and learnings gathered along the Hadoop journey. Some of these include:

    *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

    Speakers:

    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
  • How Amex's BI Leader Scaled BI for Big Data Recorded: May 3 2016 53 mins
    Bryan Harrison, American Express - VP of Credit and Operational Risk
    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
  • Blueprint: A Modern Data Architecture for BI on Hadoop Recorded: Mar 10 2016 60 mins
    Seetha Chakrapany, Director of Analytic and CRM Systems, Macy's
    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.
  • How Yellow Pages Does BI on Hadoop Recorded: Sep 18 2015 75 mins
    Richard Langlois, Director of Enterprise Data, Yellow Pages
    Yellow Pages published its first directory in 1908: it was Google before Google. It has now become an end-to-end marketing powerhouse, partnered with the largest brands in the world to connect millions of businesses to their prospects and customers.

    When Richard Langlois, Yellow Pages’ Director of Enterprise Data, embarked on their Big Data journey, the team hadn’t had any experience with Hadoop. Using AtScale, Tableau, and Cloudera, the Yellow Pages team built data services for its advertisers and internal sales and marketing team.

    Watch this interactive webinar to find out how to:

    Go from Zero-to-Hero in months by implementing a solid Hadoop Roadmap
    Enable self-service BI on Hadoop without compromising performance or security
    Leverage existing skillset to deliver value to more users, faster, while maintaining control
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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  • Title: 5 Traps to Avoid and 5 Ways to Succeed with Big Data Analytics
  • Live at: Jan 24 2017 6:00 pm
  • Presented by: Hal Lavender, Chief Architect, Cognizant, Thomas Dinsmore, BI & Big Data Expert, Josh Klahr, VP Product Management, AtScale
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