Hi [[ session.user.profile.firstName ]]

AtScale

  • Date
  • Rating
  • Views
  • The Ideal Architecture for BI on Big Data
    The Ideal Architecture for BI on Big Data Scott Gidley Zaloni - VP of Product Management, Josh Klahr AtScale - VP of Product Recorded: Dec 14 2017 46 mins
    Watch this live 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?
    Has Big Data Taken a Byte out of Your Budget? Josh Klahr, VP of Product, AtScale, Bruno Aziza, CMO, AtScale Recorded: Nov 30 2017 47 mins
    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
    Panel Discussion: Predictions for BI and Big Data Analytics in 2018 Matt Baird, AtScale; David Tishgart,Cloudera; Dan Kogan,Tableau Recorded: Oct 24 2017 58 mins
    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
    Big Data Maturity Survey Results: Big Data is No Longer Experimental AtScale 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
    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”.

Embed in website or blog