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  • BI on the Data Lake Checklist: Gartner BI MQ Review
    BI on the Data Lake Checklist: Gartner BI MQ Review Jen Underwood, Founder of Impact Analytix, LLC; Bruno Aziza, CMO of AtScale Recorded: Mar 8 2018 51 mins
    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
    6 Principles of Modern Data Architecture Josh Klahr, VP of Product at AtScale; Lucio Daza, Dir Technical Marketing at AtScale Recorded: Feb 6 2018 42 mins
    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?
    What is a Universal Semantic Layer? Dave Mariani, CEO / AtScale; and Lucio Daza, Director of Technical Marketing / AtScale Recorded: Jan 30 2018 31 mins
    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
    5 Traps to Avoid and 5 Ways to Succeed with Big Data Analytics Hal Lavender, Chief Architect, Cognizant, Thomas Dinsmore, BI & Big Data Expert, Josh Klahr, VP Product Management, AtScale D Recorded: Dec 20 2017 59 mins
    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
    5 Ways To Scale BI on Hadoop Hal Lavender, Chief Architect, Cognizant; Nino Bice, Principal Architect, Microsoft Recorded: Dec 19 2017 48 mins
    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
    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 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
  • 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.

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