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AtScale

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  • Best Practices to Drive Big Data Adoption Across Your Business
    Best Practices to Drive Big Data Adoption Across Your Business Dave Mariani, CEO & Bruno Aziza, CMO, AtScale Recorded: Sep 21 2017 19 mins
    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
    Empower Insights on Big Data with Familiar Tools + Age-Old Rules David Menninger, Analyst at Ventana Research, Josh Klahr, VP of Product, AtScale Recorded: Sep 12 2017 57 mins
    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
    Secrets for Success with EDW Optimization and Analytics on Big Data David Mariani, CEO and Co-founder; Bruno Aziza, CMO Recorded: Sep 8 2017 20 mins
    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
    How To Scale Business Intelligence Dave Mariani, CEO and Co-founder at AtScale and Bruno Aziza, CMO at AtScale Recorded: Aug 29 2017 21 mins
    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
    Data Flood Warning: How to Simplify Data Lake Environments Matt Aslett, Research Director at 451 Research, Lucio Daza, Technical Product Marketing Director at AtScale Recorded: Jul 18 2017 58 mins
    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
    BI on Big Data, Keys to Success for BI on Hadoop Matt Baird is CTO and co-founder of AtScale Recorded: Jun 21 2017 59 mins
    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
    What's Your Data Strategy? How Chief Data Officers Can Succeed with Big Data Jim Tyo Chief Data Officer at Nationwide, Tom Davenport Professor of Information Technology & Management at Babson College Recorded: Jun 20 2017 61 mins
    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
    EDW Optimization: A Modern Twist on an Old Favorite Carter Shanklin, Hortonworks; Josh Klahr, AtScale; Chad Wahlquist, Tyson Foods Recorded: May 23 2017 48 mins
    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
    Why the BI & Big Data Gap is Smaller Than it Seems Surya Mukherjee, Senior Analyst at OVUM, Dave Mariani, Co-founder & CEO, AtScale Recorded: Apr 26 2017 63 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:

    ● 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?
    Big Data Maturity Trends: How Do You Measure Up? Josh Klahr, VP Product, AtScale; Brandon Bunker, Sr Director Analytics, Vivint; Vijay Raja, Cloudera; Dan Kogan, Tableau Recorded: Mar 29 2017 60 mins
    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.

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