BI on the Data Lake Checklist

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BI on the Data Lake Checklist: Gartner MQ Review
Join Big Data Analytics expert Jen Underwood as she dissects the 2018 Gartner BI & Analytics Platform Magic Quadrant, and shares some of the best practices data-driven organizations use to select and deploy Big Data Analytics solutions.
In this interactive session, you’ll learn how to:
*Better understand key analyst reports like the 2018 Gartner BI Magic Quadrant or the Forrester Wave
*Build a Business Case for BI-on-The-Data-Lake, based on analysts' insights
*Create a checklist to better select the software you truly need to succeed
Finally, Jen will give each registrant access to her latest “BI-on-The-Data-Lake” deployment guide, a must-read resource for you and your team.
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Live online Mar 8 6:00 pm UTC
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Jen Underwood, Founder of Impact Analytix, LLC; Bruno Aziza, CMO of AtScale
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BI on the Data Lake Checklist: Gartner MQ Review Mar 8 2018 6:00 pm UTC 60 mins
Jen Underwood, Founder of Impact Analytix, LLC; Bruno Aziza, CMO of AtScale
Join Big Data Analytics expert Jen Underwood as she dissects the 2018 Gartner BI & Analytics Platform Magic Quadrant, and shares some of the best practices data-driven organizations use to select and deploy Big Data Analytics solutions.
In this interactive session, you’ll learn how to:
*Better understand key analyst reports like the 2018 Gartner BI Magic Quadrant or the Forrester Wave
*Build a Business Case for BI-on-The-Data-Lake, based on analysts' insights
*Create a checklist to better select the software you truly need to succeed
Finally, Jen will give each registrant access to her latest “BI-on-The-Data-Lake” deployment guide, a must-read resource for you and your team.
6 Principles of Modern Data Architecture Recorded: Feb 6 2018 42 mins
Josh Klahr, VP of Product at AtScale; Lucio Daza, Dir Technical Marketing at AtScale
Enterprises confront myriad challenges from using their big data to deliver the insights they need to improve business performance. Josh Klahr proposes six truths that have emerged in the world of new Big Data. By following these principles, enterprises may make the most of their big data and run at an optimized level. Tune in to learn:
*Strategies that will optimize the use of your enterprise data
*How to best serve your data consumers for performance and security
*Ways to improve data efficiency across departments
No matter your role - CDO, architect, or BI leader - these six themes will guide you through the world of data and decisions.
What is a Universal Semantic Layer? Recorded: Jan 30 2018 31 mins
Dave Mariani, CEO / AtScale; and Lucio Daza, Director of Technical Marketing / AtScale
Semantic layers in business intelligence aren’t new. This handy concept abstracts and simplifies data into common business terms to facilitate and improve reporting. But compounding semantic layers across each BI tool isn’t a simplified solution. A new approach to semantic layers is needed - the Universal Semantic Layer.
Join this webcast to learn how the modern approach of a single semantic layer will help you reduce data management complexities and give users timely access to the data that matters, in a secure and accurate manner no matter its source.
Business intelligence and big data veterans Matt Baird, CTO at AtScale and Lucio Daza, Director of Technical Marketing at AtScale, will illuminate the hidden benefits of a universal semantic layer. They’ll share real stories across industries and pain points to bring to life how you can use a single semantic layer today to consume big data – quickly, simply, securely, and accurately.
Register for this session to learn:
-How abstractions are helpful to business intelligence
-How a single semantic layer can improve the way big data adds value to your organization
-How easy it is to tackle the most complex big data use cases using the modern, single semantic layer approach
5 Traps to Avoid and 5 Ways to Succeed with Big Data Analytics Recorded: Dec 20 2017 59 mins
Hal Lavender, Chief Architect, Cognizant, Thomas Dinsmore, BI & Big Data Expert, Josh Klahr, VP Product Management, AtScale D
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
5 Ways To Scale BI on Hadoop Recorded: Dec 19 2017 48 mins
Hal Lavender, 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 Lavender, 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
The Ideal Architecture for BI on Big Data Recorded: Dec 14 2017 46 mins
Scott Gidley Zaloni - VP of Product Management, Josh Klahr AtScale - VP of Product
Watch this online session 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 webinar 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
Has Big Data Taken a Byte out of Your Budget? Recorded: Nov 30 2017 47 mins
Josh Klahr, VP of Product, AtScale, Bruno Aziza, CMO, AtScale
The average enterprise executive invests over $20M per year in Big Data technology. The work required to turn this investment into enterprise value has been arduous and perilous at best. According to Gartner, 60% of Big Data projects fail.
Is the answer “throwing more good money after bad”? We don’t think so. In this session, we propose a way to ‘“Re-imagine your Big Data project” and succeed by:
Building an enterprise-grade data warehouse in days, not months.
Running analytics with best-in-class user experience and performance, at a fraction of the cost. Early deployments of AtScale have shown query speed increase by 10X and query costs reduce by up to 1,000X on top of the savings you’re currently experiencing with BigQuery
Join this interactive session to learn:
- How AtScale on Google BigQuery works
- How customers can benefit from unparalleled cost savings
- Best-in-class experience when deploying BI on Big Data
About the presenter:
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.
Panel Discussion: Predictions for BI and Big Data Analytics in 2018 Recorded: Oct 24 2017 58 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
Assess your 2018 Big Data Strategy at
www.atscale.com/survey
Big Data Maturity Survey Results: Big Data is No Longer Experimental Recorded: Sep 25 2017 2 mins
AtScale
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
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.
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.
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:
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 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