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Vexata

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  • Accelerate Oracle Performance with Vexata and Database Smart Flash Cache
    Accelerate Oracle Performance with Vexata and Database Smart Flash Cache
    Venky Nagapudi Recorded: Nov 14 2018 40 mins
    Oracle database administrators looking to get more performance against larger data volumes can utilize the Oracle feature called “Database Smart Flash Cache” to accelerate Oracle without. This webcast will detail how to take full advantage of this very useful but sometimes overlooked feature to demonstrate how admins with high query rate databases with large tables and huge volumes can get immediate Oracle performance acceleration using Smart Flash Cache along with the Vexata Scalable Flash Array. In this webcast, you will learn how to:

    •Architect Oracle Infrastructure that maintains existing primary storage using the Vexata VX-100 as the Smart Flash Cache Tier
    •Boost Oracle Database performance by 6X or more without the need to replace existing host servers or primary storage array.
    •Demonstrate these dramatic performance gains in your own Oracle environment along with technical documentation and resources to deploy Smart Flash Cache with no risk.


    Presenter:
    Venky Nagapudi, VP of Product Management
  • Breaking through I/O Bottlenecks for Faster Financial Outcomes
    Breaking through I/O Bottlenecks for Faster Financial Outcomes
    Matt Meinel and Rick Walsworth Recorded: Oct 18 2018 51 mins
    In order to deliver immediate value back to the business, it’s critical to ensure that an organization’s financial systems are running at full strength, but in most cases, I/O bottlenecks throttle performance and delay analytic outcomes. Vexata and Levyx have collaborated on a joint solution that achieves increased performance with less infrastructure, resulting in a 300% improvement in the price/performance ratio over the industry's next best alternative solution. In this webinar, you’ll learn:
    •How to utilize the Levyx low-latency software and Vexata’s NVMe-based storage systems
    •Best practices to eliminate bottlenecks for tick-analytics, strategic back-testing, algorithmic modeling, etc.
    •Real-world results from customer trials and the recent STAC A3 test benchmarks


    Presenters:
    •Matt Meinel, Senior Vice President of Solutions Architecture, Levyx Inc.
    •Rick Walsworth, VP of Product & Solution Marketing at Vexata
  • Turbocharge Data Pipelines with VelocityAI
    Turbocharge Data Pipelines with VelocityAI
    Jason Blum, CTO at GPL Technologies and Shailesh Manjrekar, Sr. Director, Product and Solutions Management at Vexata Recorded: Sep 26 2018 48 mins
    Data is doubling every two years, driven by human and machine-generated data, such as the Internet of Things (IoT). The analysis of patData is doubling every two years, driven by human and machine-generated data, such as the Internet of Things (IoT). The analysis of patterns and structure in this data and its transformation into actionable insights is driven by Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) workloads.

    IDC predicts that in the next three years over half the businesses will use AI, ML, and DL workloads. This has given rise to the NVIDIA DGX-1 GPU-based supercomputer to accelerate these workloads. Vexata supports the DGX-1 and delivers ultra-low latency, massive ingest bandwidth, and heavy mixed random and sequential read/write I/O operations. Using direct attached storage (DAS) or all-flash arrays (AFAs) limits the usefulness of the DGX-1 by restraining performance and requiring complex data provisioning, mobility, and growth. Vexata addresses these issues with VelocityAI, which combines the NVIDIA DGX-1 and the Vexata VX-100FS Scalable NVMe File Array.

    Learn about VelocityAI and how we built it to overcome these machine learning challenges. This webinar is targeted to those that want to leverage GPU for data analytics. Our expert will cover:

    - Dealing with large training and inferencing data-sets by leveraging NVMe media
    - Using the VelocityAI to eliminate movement between data pipeline stages
    - Dealing with data security, protection, and efficiency concerns

    Learn how you can leverage VelocityAI to deliver transformative performance with breakthrough economics at scale for your AI, ML, and DL applications.
  • 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
    data-sets
    • 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.

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