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Pivotal Customer Stories & Analyst Insights

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  • Building a Big Data Fabric with a Next Generation Data Platform
    Building a Big Data Fabric with a Next Generation Data Platform Noel Yuhanna, Forrester, Jacque Istok, Pivotal Recorded: Dec 13 2017 57 mins
    For more than 25 years IT organizations have spent many cycles building enterprise data warehouses, but both speed to market and high cost has left people continually searching for a better way. Over the last 10 years, many found an answer with Hadoop, but the inability to recruit skilled resources, combined with common enterprise necessities such as ANSI compliant SQL, security and the overall complexity has Hadoop relegated to an inexpensive, but scalable data repository.

    Join Noel Yuhanna from Forrester and Pivotal’s Jacque Istok for an interactive discussion about the most recent data architecture evolution; the Big Data Fabric. During this webinar you will learn:

    What a Big Data Fabric is
    - How does it leverage your existing investments in enterprise data warehouses, data marts, cloud analytics, and Hadoop clusters?
    How to leverage your team’s expertise to build a Big Data Fabric
    - What skills should you be investing in to continue evolving with the market?
    When is it appropriate for an organization to move to a Big Data Fabric
    - Can you afford to divert from your existing path? Can you afford not to?
    The skills and technologies that will ease the move to this new architecture
    - What bets can you place that will keep you moving forward?
  • Analytical Innovation: How to Build the Next Generation Data Platform
    Analytical Innovation: How to Build the Next Generation Data Platform James Curtis, Senior Analyst, Data Platforms & Analytics, 451 Research & Jacque Istok, Head of Data, Pivotal Recorded: Sep 14 2017 63 mins
    There was a time when the Enterprise Data Warehouse (EDW) was the only way to provide a 360-degree analytical view of the business. In recent years many organizations have deployed disparate analytics alternatives to the EDW, including: cloud data warehouses, machine learning frameworks, graph databases, geospatial tools, and other technologies. Often these new deployments have resulted in the creation of analytical silos that are too complex to integrate, seriously limiting global insights and innovation.

    Join guest speaker, 451 Research’s Jim Curtis and Pivotal’s Jacque Istok for an interactive discussion about some of the overarching trends affecting the data warehousing market, as well as how to build a next generation data platform to accelerate business innovation. During this webinar you will learn:

    - The significance of a multi-cloud, infrastructure-agnostic analytics
    - What is working and what isn’t, when it comes to analytics integration
    - The importance of seamlessly integrating all your analytics in one platform
    - How to innovate faster, taking advantage of open source and agile software

    We look forward to you joining us.
    The Pivotal Team
  • Five Pitfalls When Operationalizing Data Science and a Strategy for Success
    Five Pitfalls When Operationalizing Data Science and a Strategy for Success Guest Speaker Mike Gualtieri, Forrester, Dormain Drewitz and Jeff Kelly, Pivotal Recorded: Aug 2 2017 64 mins
    Enterprise executives and IT teams alike know that data science is not optional, but struggle to benefit from it because the process takes too long and operationalizing models in applications can be hairy.

    Join guest speaker, Forrester Research’s Mike Gualtieri and Pivotal’s Jeff Kelly and Dormain Drewitz for an interactive discussion about operationalizing data science in your business. In this webinar, the first of a two-part series, you will learn:

    - The essential value of data science and the concept of perishable insights.
    - Five common pitfalls of data science teams.
    - How to dramatically increase the productivity of data scientists.
    - The smooth hand-off steps required to operationalize data science models in enterprise applications.
  • Microservices Approaches for Continuous Data Integration
    Microservices Approaches for Continuous Data Integration Jurgen Leschner, Pivotal and Matt Aslett, Research Director, 451 Research Recorded: Jun 8 2017 64 mins
    How can businesses modernize their existing data integration flows? How can they connect a rapidly evolving number of data services? How can they capture, process, and generate new event streams? How can they leverage advances in Machine Learning to enhance real time interactions with their customers?

    Join Matt Aslett, Research Director at 451 Research, and Jürgen Leschner from Pivotal for an interactive discussion about continuous data integration applications, trends, and architectures.

    In this webinar you will learn:
    - How traditional data integration approaches like batch ETL can be improved
    - Why microservices support continuous data integration in a scalable way
    - How to incorporate DevOps practices in your data integration teams
    - What benefits microservices and DevOps practices bring to data integration
  • The Bright Ops Future: Reinventing Operations In The Age Of Cloud-Native IT​
    The Bright Ops Future: Reinventing Operations In The Age Of Cloud-Native IT​ Guest Speaker Dave Bartoletti, Forrester Principal Analyst and John Allwright, Pivotal Recorded: May 18 2017 61 mins
    In the whirlwind of digital business where web, mobile and now line-of-business app growth is exploding across every industry, how should operations teams respond? Do you add more people, automate what your experts already do, or is there another way?

    Join​ ​​guest speaker​ Forrester Principal Analyst Dave Bartoletti and John Allwright from Pivotal for an interactive discussion of how leading companies have successfully transformed their operations function​s to accelerate digital transformation.​​

    They will share​ ​data and research on how operations​ ​​teams are moving from being cost centers to the engine powering modern app development -- and how modern apps delivers value to the business beyond infrastructure efficiency.​
  • The Best Kept Secrets Of High Performance Development Teams
    The Best Kept Secrets Of High Performance Development Teams Jeffrey Hammond, Vice President, Principle Analyst, Forrester Richard Seroter, Senior Director Product Marketing, Pivotal Recorded: Mar 22 2017 64 mins
    Ever wondered what separates high-performance development organizations from shops that struggle to maintain productivity? The answer’s not always obvious, but there are recurring best practices that enlightened development managers use to maximize flow, engage developers, and improve results.

    Join Forrester Vice President and Principle Analyst Jeffrey Hammond and Richard Seroter from Pivotal for an interactive discussion about:

    - Best practices culled from high-performance teams;
    - Examination of data and research on how developers spend their days;
    - Cultural practices that lead to higher-performance;
    - Tools and DevOps tactics to unlock high-performance and help teams deliver better software outcomes.
  • The Data Warehouse in the Age of Digital Transformation
    The Data Warehouse in the Age of Digital Transformation Neil Raden, Principal Analyst, Hired Brains Research Recorded: Feb 22 2017 50 mins
    In the past years of Big Data and digital transformation “euphoria”, Hadoop and Spark received most of the attention as platforms for large-scale data management and analytics. Data warehouses based on relational database technology, for a variety of reasons, came under scrutiny as perhaps no longer needed.

    However, if there is anything users have learned recently it’s that the mission of data warehouses is as vital as ever. Cost and operational deficiencies can be overcome with a combination of cloud computing and open source software, and by leveraging the same economics of traditional big data projects - scale-up and scale-out at commodity pricing.

    In this webinar, Neil Raden from Hired Brains Research makes the case that an evolved data warehouse implementation continues to play a vital role in the enterprise, providing unique business value that actually aids digital transformation. Attendees will learn:

    - How the role of the data warehouse has evolved over time
    - Why Hadoop and Spark are not replacements for the data warehouse
    - How the data warehouse supports digital transformation initiatives
    - Real-life examples of data warehousing in digital transformation scenarios
    - Advice and best practices for evolving your own data warehouse practice
  • Understand the What, Why & How of Digital Transformation Featuring 451 Research
    Understand the What, Why & How of Digital Transformation Featuring 451 Research Nick Patience, Founder & Research Vice President, 451 Research & Michael Cote, Director of Technical Marketing, Pivotal Recorded: Feb 8 2017 55 mins
    Why did we hear so much about “Digital Transformation” in 2016, and frankly what does it mean? While it's easy to dismiss the phrase with an eye-roll, there's no better phrase to represent improving how IT is used to help drive business innovation...and the huge changes organizations must go through to be successful. This webinar with Nick Patience, Research Vice President for 451 Research's software team, and Michael Coté of Pivotal will discuss a pragmatic definition and approach to Digital Transformation as seen through the experiences of organizations who've lived through it.

    Digital Transformation is about fundamentally rebuilding business and IT processes, not just about building apps. 451 Research defines Digital Transformation as “a result of IT innovation that is aligned with and driven by a well-planned business strategy, with the goal of transforming how organizations serve customers, employees and partners.” Some main features of a successful transformation include the ability to quickly react to market demands, and use information to make better decisions and serve constituents more effectively.

    In this webinar Nick Patience of 451 Research and Pivotal’s Michael Cote will discuss:
    - Why now is the time for Digital Transformation
    - How the balance of power between customer and provider contributes to this new revolution
    - Shifting priorities that require new practices and processes and the technical tools and platforms that support them
    - Real-world examples of organizations that have been there (we’ll share all the gorey details, including what worked and didn't work for them)
  • Pivotal & Forrester Share 5 Common Approaches to Application Modernization
    Pivotal & Forrester Share 5 Common Approaches to Application Modernization Richard Seroter, Sr. Director, Pivotal and guest John Rymer, Vice President, Forrester Recorded: Dec 13 2016 61 mins
    Are you trying to figure out how your existing application portfolio fits in your digital transformation? Digital transformation is not just about building new applications, but also about unlocking the value in the existing ones. To unlock that value, these applications often need some level of modernization. But how much is enough? What types of applications require the most changes? Can you just lift-and-shift applications into the latest container platform and call it done? These tough questions are critical to your long-term success.

    Forrester Research has uncovered five common approaches to application modernization: lift-and-shift, lift-and-extend, SaaS substitution, full replacement, and hybrid extend. In this webinar featuring John Rymer of Forrester, and Richard Seroter of Pivotal, you will learn about these five approaches and the benefits and risks of each. We will discuss how to profile your existing application portfolio to identify which applications are the right fit for each modernization approach.

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