Name: How to Scale Oracle Database and Reduce Your TCO
Start: 2018-04-19T17:00:00Z
End: 2018-04-19T17:57:45.000Z
Location: BrightTALK
Rating: 5

Vexata Scalable Storage Systems are a major advance in all solid-state data infrastructure for enterprise and cloud datacenters. Through its patented Active Data Architecture, Vexata Systems simply and seamlessly unlock the full capabilities of the latest generation SSDs, such as NVMe Flash and Intel Optane. The result is transformative performance at breakthrough economics for the data-intensive workloads at the core of modern business, including ML/AI, real-time event processing, advanced analytics, and large-scale modeling and simulation. For more information, contact info@vexata.com, visit vexata.com or follow us on Twitter @VexataCorp

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

Accelerate Oracle Performance with Vexata and Database Smart Flash Cache

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

Breaking through I/O Bottlenecks for Faster Financial Outcomes

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.

Turbocharge Data Pipelines with VelocityAI

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.

Accelerating SAS Analytics with Vexata NVMe Storage

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.

VM Consolidation with Vexata NVMe Storage Systems

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.

Unleash the Power of NVMe Fabrics

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

A New Era in Data Storage for Machine Learning and AI Ecosystems

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.

Architecting Machine Learning Ecosystems Using Best-in-Class NVMe SSDs

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.

NVMe for DBAs

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

Crossing The Digital Transformation Chasm

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.

Vexata's OLAP / SQL Server Solutions - Live Product Demo

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

NVMe & Oracle Database: Making Hybrid Transaction/Analytical Processing Possible

Successful analytics and transactional systems start with proper architectural principles and considerations. This webinar will be a detailed walkthrough of all the software and hardware infrastructure below the database server. It will explain how each layer affects database workloads as well as give tools and metrics for determining optimal architectural configurations.

From this webinar you will learn:

• How to design SQL server infrastructures for optimal performance
• How the software and hardware infrastructure affect database performance
• Tools and metrics to determine appropriate hardware allocations.  For example, how many CPU cores, data volumes, tempdb files or GBs of memory are needed for your workload.
• Tools and metrics to find current bottlenecks, inside and outside of the database server
• Tools and best practices for monitoring all layers

Presented by Matt Henderson, who has over two decades of experience in designing high-performance database platforms and over five years working with the latest all-flash storage technologies. He currently is the Director of Microsoft Technologies at Vexata where he helps customers optimize and scale their mission-critical databases.

How to Design SQL Server Infrastructures for Optimal Performance

Surya Varanasi, CTO & Co-Founder of Vexata, visits theCUBE's Palo Alto Offices on Oct. 2, 2017. He sits down with host John Furrier to discuss the Vexata vision and clear business need that fueled the creation of the Active Data Fabric solution - a transformative new data infrastructure that lets you simply and cost-effectively maximize the performance and scale of your enterprise applications. Learn more at vexata.com

Vexata CTO Interview in theCUBE

The VX-100 Scalable System is a high availability, 6U hot pluggable storage platform that utilizes best in breed, commercially available hardware to deliver unmatched performance and availability across a broad range of use cases. Here, Vexata provides a demo of VX-100's encryption capabilities. http://www.vexata.com/product/

Vexata's VX 100F Scalable Data System Encryption Demo

Rick Walsworth, VP of Products and Solutions at Vexata, gives a rundown of the analytics and benchmarks needed for today's business.  Optimize your business with All your data. Now. https://www.vexata.com/

Vexata: All Your Data. Now.

Ashish Gupta, CMO of Vexata, explains Vexata OS (VxOS), an enterprise storage OS for lowest latency, parallel solid state media I/O. https://www.vexata.com/products/

Active Data: Vexata OS

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

How to Scale Oracle Database and Reduce Your TCO

Scaling Oracle

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How to Scale Oracle Database and Reduce Your TCO

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