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The Ideal Architecture for BI on Big Data

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
Recorded Dec 14 2017 46 mins
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Presented by
Scott Gidley Zaloni - VP of Product Management, Josh Klahr AtScale - VP of Product
Presentation preview: The Ideal Architecture for BI on Big Data

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  • Channel
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  • Everything* You Need To Know About Data and Analytics In The Cloud Jul 17 2018 4:00 pm UTC 60 mins
    Matt Aslett, 451 Research; Saptarshi Mukherjee, Google; Bruno Aziza, AtScale
    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.
  • Ten Steps to a Successful Semantic Layer Adoption Jun 27 2018 5:00 pm UTC 60 mins
    Jen Underwood - Impact Analytix; Wendy Gradek - AtScale
    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.
  • Harnessing the Power of BI on the Google Cloud Recorded: Jun 7 2018 35 mins
    Lucio Daza, Director Technical Product Marketing at AtScale
    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 Recorded: Jun 7 2018 30 mins
    Denis Dubeau, Director Product Management, Platforms
    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 Recorded: Apr 11 2018 57 mins
    Daren Drummond: Dir-Product, Wendy Gradek: Dir-Product; Lucio Daza, Dir Tech Marketing
    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 Recorded: Mar 27 2018 58 mins
    John Mertic, Director, ODPi (a Linux Foundation project); Bruno Aziza, Chief Marketing Officer, AtScale
    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 Recorded: Mar 8 2018 51 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
    - 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 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:

    - 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 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.
Make Business Intelligence Work on Big Data
With AtScale, you can put the power of your Big Data in the hands of business users. Empower IT and Business Analysts alike with self-service analytics, on big data, with all the performance and scale, and without compromising security or control. Follow us to hear from big data and business intelligence thought leaders and innovators how making business intelligence work on big data can make a big impact on your business.

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  • Title: The Ideal Architecture for BI on Big Data
  • Live at: Dec 14 2017 4:00 pm
  • Presented by: Scott Gidley Zaloni - VP of Product Management, Josh Klahr AtScale - VP of Product
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