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  • Accelerating SAS Analytics with Vexata NVMe Storage
    Accelerating SAS Analytics with Vexata NVMe Storage Dana Rafiee, Managing Director at Destiny and Shailesh Manjrekar, Sr. Director, Product and Solutions Management at Vexata Recorded: Aug 23 2018 51 mins
    94% of the Fortune Global 100 use SAS analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. IDC predicts by 2019, 40% of Data Transformation initiatives will use AI services; by 2021, 75% of commercial enterprise apps will use AI, over 90% of consumers will interact with customer support bots, and over 50% of new industrial robots will leverage AI.

    Data-driven applications and Machine Learning (ML) workloads, using SAS analytics are increasing in volume and complexity as organizations look to reduce training and operational timelines for artificial intelligence (AI) use cases. To enable predictive and cognitive analytics, you need to accelerate training and operations by delivering ultra-low latency with massive ingest bandwidths when faced with heavy mixed random and sequential read/write workloads.

    Vexata is teaming up with Destiny Corporation, a Business and Technology firm who is a SAS gold partner and reseller. This webinar is targeted towards SAS Line of Business and IT owners who are challenged with

    • New use cases like IoT, machine and deep learning across FSI, Insurance,
    Healthcare and Lifesciences verticals
    • Handling growing data-sets and deriving actionable intelligence from these
    • Optimizing their existing long running jobs and IT infrastructure without a rip
    and replace policy

    Learn how to identify your SAS analytics IO bottlenecks and leverage Vexata VX-100 with its transformative VX-OS purpose-built to overcome these challenges.
  • VM Consolidation with Vexata NVMe Storage Systems
    VM Consolidation with Vexata NVMe Storage Systems Rick Walsworth Recorded: Aug 17 2018 5 mins
    Vexata provides NVMe-based storage solutions that maximize VMware virtualized workloads providing massive consolidation, high performance for enterprise workloads such as Oracle, SQL Server, and SAS Analytics. This demo provides an exclusive view into consolidating mission critical Oracle workloads on VMs supporting a range of mixed OLTP, Analytics and Data Warehouse workloads delivering ultra-low latency over increasing workloads. If you are considering moving enterprise applications into VMware virtualized environments, Vexata delivers the performance and scale to do so with confidence.
  • Unleash the Power of NVMe Fabrics
    Unleash the Power of NVMe Fabrics Rick Walsworth, Venky Nagapudi Recorded: Jul 26 2018 62 mins
    This webcast will provide an architectural view of the NVMe over Fabrics, the different technology approaches, and best practices to consider when evaluating this technology. During this session, you’ll be provided with real-world use cases and examples as well as the benefits of NVMe for the following key areas:
    -How to migrate services from standard SCSI based to NVMe-oF based
    solutions using FC
    -Detailed architectural analysis and benefits achieved by deploying NVMe-
    oF via GbE.
    -Tradeoffs and decision to utilize mixed mode FC and GbE deployments.

    In addition to the presentation, there will be a brief demo of the Vexata
    NVMe-oF solution presented to show how the system performs for high frequency, enterprise use cases.
  • A New Era in Data Storage for Machine Learning and AI Ecosystems
    A New Era in Data Storage for Machine Learning and AI Ecosystems Ashish Gupta Recorded: Jun 21 2018 45 mins
    As enterprises transition their Business Intelligence and Analytics environments to Machine Learning and Artificial Intelligence driven ecosystems, their core data infrastructure has to scale. Focusing only on the compute layers, creates a highly inefficient infrastructure. Vexata with its VX-OS version 3.5 release brings to market transformative economics and breakthrough performance to power these next-generation workloads at scale.e.

    You will learn about:
    • How to scale core data infrastructures for the transition to Machine Learning and Artificial Intelligence workloads
    • What are the key considerations before creating an AI/ML-centric storage infrastructure
    • How Vexata's new VX-OS version 3.5 release addresses these challenges
  • Architecting Machine Learning Ecosystems Using Best-in-Class NVMe SSDs
    Architecting Machine Learning Ecosystems Using Best-in-Class NVMe SSDs Rick Walsworth & Cameron Brett Recorded: May 24 2018 55 mins
    Machine learning and Deep learning architectures are driving efficiencies and automation across enterprise systems and creating challenges for infrastructure architects in order to deliver the desired outcomes. These issues are manifested through infrastructure I/O bottlenecks that result poor ingest throughput performance that slow cognitive system training times due to excessive latencies. In this webinar, Toshiba and Vexata join forces to provide actionable information about the latest generation of NVMe based solid state drive (SSD) media and how to architect systems to deliver the low latency, high bandwidth I/O services to these advanced neural nets and cognitive systems.

    Join this webinar and learn about the latest technologies, architectures and best practices purpose built for these AI ecosystems.

    In this webinar
    1. Latest generation of SSD technologies that deliver low latency performance
    2. Advances in storage architectures that maximize the SSD media
    3. Use cases and customer examples that have deployed these architectures for machine learning environments.
  • How to Scale Oracle Database and Reduce Your TCO
    How to Scale Oracle Database and Reduce Your TCO Ganesh Balabharathi & Venky Nagapudi Recorded: Apr 19 2018 58 mins
    As Enterprises transition to online data-driven transactional business models, the need to support more customers and users at scale, typically means massive investments for Oracle database licenses and the supporting data infrastructure. But most enterprise infrastructure is not optimized to maximize the performance of CPUs in their database servers resulting in wasted resources and poor utilization of these expensive Oracle licenses. Are the bottlenecks in their current infrastructure well understood? With a plethora of solid state storage options available, do infrastructure architects know how to effectively evaluate and select the best storage platform to reduce Oracle TCO?

    The key to optimizing your Oracle infrastructure spend is the focus of this webinar where Vexata solution architects will address some of the common misconceptions related to scaling Oracle ecosystems using case studies and best practices to deliver massive performance improvements and realize significant cost savings.

    You will learn about:
    •When and how to tune various infrastructure options available to an Oracle DBA
    •How to maximize database performance including how to optimize CPU cores based on deploying solid-state storage systems.
    •Best practices for Oracle evaluation and benchmarking tools including SLOB2, IO Calibration, and Orion
  • NVMe for DBAs
    NVMe for DBAs Matt Henderson & Pinal Dave Recorded: Mar 8 2018 63 mins
    Since flash storage hit the market a few years ago, storage technology has been innovating at an ever-increasing rate. With new technologies like NVMe already out, and the next round of fabrics and 3DXpoint/Optane becoming production ready soon, database architects have a lot more to pay attention to and many more options for scaling or consolidating platforms. In this webinar we will cover:

    - The emerging technologies influencing database platforms (NVMe, fabrics, 3DXpoint/Optane, etc)
    - The effect of NVMe systems on database architecture & design
    - Database and data processing use cases for NVMe systems & 3DXpoint/Optane. (From existing SMP workloads like OLTP & analytics to emerging MPP technologies like AI, ML & IoT)
    - How to test NVMe systems (it’s not just about the average latency anymore)
    - How to see value per database & data processing workload

    We will review the state of infrastructure through the eyes of DBAs, database architects, and systems engineers and help them understand what they need to know for their current platforms and future platform design.
  • Crossing The Digital Transformation Chasm
    Crossing The Digital Transformation Chasm Shailesh Manjrekar, Sr. Director, Product & Solutions at Vexata, Frederic Van Haren, Senior Analyst at Evaluator Group Recorded: Feb 13 2018 58 mins
    Leverage Vexata Active Data Fabric Ecosystem for AI, Deep Learning, Machine Learning and Cognitive Pipelines

    Digital Transformation is cutting across industries and making a profound impact in our lives. Data is the new oil, however, businesses need a different approach to drill this oil, in a way it impacts the business processes positively and instantaneously. Existing datacenter infrastructure falls short in meeting the requirements of these new distributed and massively parallel pipelines and datatypes and need to evolve.

    Several trends are proving to democratize Digital Transformation vision and technologies are emerging as building blocks. Notably Convergence of HPC, Big Data Analytics, and Artificial intelligence markets, driven by GPU computing, open sourcing of ML / DL frameworks, Distributed architectures, faster storage media like NVMe and 3D-Xpoint and faster networking with NVMeOF are fueling these trends.

    Join this webinar and learn about the latest industry trends, vertical use cases and how Vexata with its Active Data Fabric ecosystem is uniquely positioned to help its customers cross the chasm.

    Webinar takeaways:
    1. Future of Analytics – move from descriptive to prescriptive and now to cognitive, leveraging Deep Learning, neural nets, streaming paradigms
    2. Business Value of Digital Transformation – remain competitive, survive and thrive.
    3. Remove infrastructure bottlenecks, particularly as they pertain to storage and data management when using AI, Deep Learning, Cognitive pipelines for use cases across verticals like:
    - EDA / Manufacturing
    - Media and Video Analytics
    - Genomics, Precision medicine
    - Speech Recognition
    - Industrial IoT
    - Financial and Security Analytics
    - Retail Customer Churn / Sentiment Analysis
  • Vexata's OLAP / SQL Server Solutions - Live Product Demo
    Vexata's OLAP / SQL Server Solutions - Live Product Demo Vexata Recorded: Feb 2 2018 5 mins
    This demo of the Vexata VX-100F scalable storage system using NVMe SSDs via Fibre Channel running SQL server analytics, illustrating how database administrators can accelerate data loads via system read bandwidth that exceeds 46 gigabytes per second. Overall, the Vexata VX-100F increases server performance by up to 10x delivering faster, more accurate insights while dramatically reducing data center TCO.
  • NVMe & Oracle Database: Making Hybrid Transaction/Analytical Processing Possible
    NVMe & Oracle Database: Making Hybrid Transaction/Analytical Processing Possible Ganesh Balabharathi, Principal Database Architect Recorded: Nov 16 2017 38 mins
    Hybrid transaction/analytical processing (HTAP) refers to capabilities to perform OLAP (online analytical processing) and OLTP (online transaction processing) at the same time on a same database system. Oracle Database has always held the edge in HTAP because its version-based concurrency model means that analytical workloads do not block transactional workloads. In this webcast, we will examine how Vexata Scalable Storage Systems utilize technologies such as NVMe Flash and Intel Optane (3D XPoint) can be used to take HTAP to the next level. This webcast will include a demonstration of HTAP running on Oracle 12c with the Vexata VX-100 Scalable Storage System.

    You will learn about:
    - Detailed explanation of Hybrid transactional/analytic environments
    - Best practices for architecting Oracle Hybrid database systems
    - How Vexata maximizes transactional and analytic workloads

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