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AtScale

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  • Ten Steps to Successful Semantic Layer Adoption
    Ten Steps to Successful Semantic Layer Adoption Jen Underwood, Wendy Gradek Recorded: Jul 31 2018 43 mins
    Mainstream reporting solutions are not scaling to meet demands of the digital era. The 4 Vs of big data combined with modern BI strategies that enable self-service data access are overwhelming reporting tools and infrastructure.

    To empower insights-driven, analytical cultures in a new world of big data, organizations are adopting data lake architectures and AtScale semantic layers to enhance capabilities of existing reporting tools.

    Join Jen Underwood, Founder of Impact Analytix and Wendy Gradek, Director of Product Marketing at AtScale to learn about the key steps and implications that you need to take into consideration when planning a successful migration to BI on Big Data.

    Join this webinar to learn:
    - 10 steps to succeed when moving to a semantic layer for big data reporting.
    - What do you need to succeed to enable your BI for Big Data.
    - How to build a case and calculate business value.
    - Migration tasks involved in the process.
  • Everything You Need To Know About Data and Analytics In The Cloud
    Everything You Need To Know About Data and Analytics In The Cloud Matt Aslett, 451 Research; Saptarshi Mukherjee, Google; Bruno Aziza, AtScale Recorded: Jul 17 2018 61 mins
    Everyone is talking about cloud-based data platforms, but a lot of the talk is more questions than answers. What’s driving the move to the cloud? What are the implications for data management and analytics? How can I make a hybrid environment succeed? Who are the real players in the market and who should I pay attention to?

    Join Matt Aslett, Research Director for the Data Platforms and Analytics Channel at 451 Research, Saptarshi Mukherjee, leader of the data analytics and IoT product marketing function for Google Cloud, and Bruno Aziza, CMO at AtScale, for this deep dive into everything* you need to know about data and analytics in the cloud.

    Join this webinar to learn:
    *What technologies to support when deploying a hybrid environment.
    *About the implications on data management and how it affects your current big data environment.
    *About the implications of the separation of compute and storage for analytics workloads.
    *About the technology and business drivers to consider on this journey.
  • Harnessing the Power of BI on the Google Cloud
    Harnessing the Power of BI on the Google Cloud Lucio Daza, Director Technical Product Marketing at AtScale Recorded: Jun 7 2018 35 mins
    If you're trying to deliver performant, scalable business intelligence on big data and the capability to handle large number of queries is a key issue for you, Google BigQuery is a choice well-worth considering. It is no surprise that more and more data workloads are moving to the cloud. The question is, how can you be successful at it?

    Join this session to learn:
    - How to support BI on the cloud regardless of the data size.
    - How to analyze all your data without breaking the bank.
    - What are the key factors for a successful BI on the cloud implementation.
  • Revolutionizing The Cloud with AtScale and Amazon RedShift
    Revolutionizing The Cloud with AtScale and Amazon RedShift Denis Dubeau, Director Product Management, Platforms Recorded: Jun 7 2018 30 mins
    Data engineers, data analysts, developers and pretty much anyone involved in the data stewarding process is looking to migrate their data to the cloud, mainly to increase performance and lower costs.

    Join this session to learn:
    - How to reduce query cost
    - Key factors to succeed with BI on the cloud.
    - How to get more from your existing data cluster.
  • Accelerate Business Analytics with AtScale 6.5
    Accelerate Business Analytics with AtScale 6.5 Daren Drummond: Dir-Product, Wendy Gradek: Dir-Product; Lucio Daza, Dir Tech Marketing Recorded: Apr 11 2018 57 mins
    The new AtScale 6.5 product release offers significant new features to sharpen analytics insight, improve end-user productivity, and strengthen data governance in democratized analytics environments. In AtScale 6.5, users may:

    *Calculate quantiles on all of your data without requiring data movement or losing analysis accuracy.

    *Re-use existing dimensions within a cube without creating extra dimensions

    *Govern access to cube objects to manage complexity

    With AtScale 6.5, BI leaders and enterprise data architects alike will see a new way to gain access to and report on all your organization’s data.

    Join Josh Klahr, VP-Product at AtScale and Lucio Daza, Director Technical Marketing at AtScale for this deep dive into AtScale 6.5 and learn how to:

    *Optimize business analytics by supporting consistent models across data platforms and BI tools

    *Run sophisticated multi-dimensional analytics on all your enterprise data using the tools your business users know well

    *Secure data access governed by policy without needing to replicate data no matter the BI tool desired for use

    The webinar will run live at Wednesday, April 11, 11:00 AM Pacific Time.
  • The Definitive Big Data Maturity Survey - 2018 Edition
    The Definitive Big Data Maturity Survey - 2018 Edition John Mertic, Director, ODPi (a Linux Foundation project); Bruno Aziza, Chief Marketing Officer, AtScale Recorded: Mar 27 2018 58 mins
    Big data is here to stay, and enterprises are determined to transform their data into strategic assets to inform operations and planning. Yet despite years of focus, investment, and effort, CDOs haven't reached a transformational level of maturity in data and analytics. What's holding us back?

    Leveraging data from multiple years of results spanning over 5,500 survey responses from 429 companies, the Definitive Big Data Maturity Survey provides the industry's only comprehensive look at where big data and analytics are heading. Join this webinar as AtScale explains the six trends driving enterprise transformation in big data. The webinar will cover:

    *The future of the cloud in big data
    *BI tools winners and losers
    *Strategies enterprises use to win with big data

    You won't want to miss this in-depth examination of what's driving big data today.

    Who Should Attend:
    *Strategic Data Executives
    *Data Architects
    *Business Intelligence and Analytics Leaders
  • 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

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