SingleStore Database on High Performance IBM Spectrum Scale Filesystem with Red Hat OpenShift and IBM Cloud Pak for Data

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Release : 2022-09-15
Genre : Computers
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Book Rating : 818/5 ( reviews)

SingleStore Database on High Performance IBM Spectrum Scale Filesystem with Red Hat OpenShift and IBM Cloud Pak for Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook SingleStore Database on High Performance IBM Spectrum Scale Filesystem with Red Hat OpenShift and IBM Cloud Pak for Data write by Nilesh Suryawanshi. This book was released on 2022-09-15. SingleStore Database on High Performance IBM Spectrum Scale Filesystem with Red Hat OpenShift and IBM Cloud Pak for Data available in PDF, EPUB and Kindle. This IBM® blueprint describes the SingleStoreDB that is running on Red Hat OpenShift in a containerized environment. The SingleStoreDB deployment uses the IBM Spectrum® Scale container native access storage class to create persistent volumes (PVs) for the SingleStoreDB pods deployment. This document also describes the process that is used to expand a SingleStoreDB volume on IBM Spectrum Scale and an IBM Spectrum Scale PV on a Red Hat OpenShift cluster for IBM Spectrum Scale to verify that the SingleStoreDB remained intact after the volume is expanded. The procedure to create a sample database that is named stockDB, and the data analytical stats for reading and writing the data also are included. The sample data was captured for comparison statistics for SingleStoreDB that is deployed on the IBM Spectrum Scale Cluster File System and local storage. These comparison statistics emphasize the notable difference between the sample data sets. Finally, this document also explains the procedure that is used to create the same sample database with the unlimited storage feature in SingleStore by using IBM Cloud® Object Storage.

IBM Cloud Pak for Data with IBM Spectrum Scale Container Native

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Release : 2021-12-17
Genre : Computers
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Book Rating : 095/5 ( reviews)

IBM Cloud Pak for Data with IBM Spectrum Scale Container Native - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook IBM Cloud Pak for Data with IBM Spectrum Scale Container Native write by Gero Schmidt. This book was released on 2021-12-17. IBM Cloud Pak for Data with IBM Spectrum Scale Container Native available in PDF, EPUB and Kindle. This IBM® Redpaper® publication describes configuration guidelines and best practices when IBM Spectrum® Scale Container Native Storage Access is used as a storage provider for IBM Cloud® Pak for Data on Red Hat OpenShift Container Platform. It also provides the steps to install IBM Db2® and several assemblies within IBM Cloud Pak® for Data, including Watson Knowledge Catalog, Watson Studio, IBM DataStage®, Db2 Warehouse, Watson Machine Learning, Watson OpenScale, Data Virtualization, Data Management Console, and Apache Spark. This IBM Redpaper publication was written for IT architects, IT specialists, developers, and others who are interested in installing IBM Cloud Pak for Data with IBM Spectrum Scale Container Native.

IBM Spectrum Scale CSI Driver for Container Persistent Storage

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Release : 2020-04-10
Genre : Computers
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Book Rating : 643/5 ( reviews)

IBM Spectrum Scale CSI Driver for Container Persistent Storage - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook IBM Spectrum Scale CSI Driver for Container Persistent Storage write by Abhishek Jain. This book was released on 2020-04-10. IBM Spectrum Scale CSI Driver for Container Persistent Storage available in PDF, EPUB and Kindle. IBM® Spectrum Scale is a proven, scalable, high-performance data and file management solution. It provides world-class storage management with extreme scalability, flash accelerated performance, automatic policy-based storage that has tiers of flash through disk to tape. It also provides support for various protocols, such as NFS, SMB, Object, HDFS, and iSCSI. Containers can leverage the performance, information lifecycle management (ILM), scalability, and multisite data management to give the full flexibility on storage as they experience on the runtime. Container adoption is increasing in all industries, and they sprawl across multiple nodes on a cluster. The effective management of containers is necessary because their number will probably reach a far greater number than virtual machines today. Kubernetes is the standard container management platform currently being used. Data management is of ultimate importance, and often is forgotten because the first workloads containerized are ephemeral. For data management, many drivers with different specifications were available. A specification named Container Storage Interface (CSI) was created and is now adopted by all major Container Orchestrator Systems available. Although other container orchestration systems exist, Kubernetes became the standard framework for container management. It is a very flexible open source platform used as the base for most cloud providers and software companies' container orchestration systems. Red Hat OpenShift is one of the most reliable enterprise-grade container orchestration systems based on Kubernetes, designed and optimized to easily deploy web applications and services. OpenShift enables developers to focus on the code, while the platform takes care of all of the complex IT operations and processes. This IBM Redbooks® publication describes how the CSI Driver for IBM file storage enables IBM Spectrum® Scale to be used as persistent storage for stateful applications running in Kubernetes clusters. Through the Container Storage Interface Driver for IBM file storage, Kubernetes persistent volumes (PVs) can be provisioned from IBM Spectrum Scale. Therefore, the containers can be used with stateful microservices, such as database applications (MongoDB, PostgreSQL, and so on).

A Deployment Guide for IBM Spectrum Scale Unified File and Object Storage

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Release : 2017-05-24
Genre : Computers
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Book Rating : 997/5 ( reviews)

A Deployment Guide for IBM Spectrum Scale Unified File and Object Storage - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Deployment Guide for IBM Spectrum Scale Unified File and Object Storage write by Dean Hildebrand. This book was released on 2017-05-24. A Deployment Guide for IBM Spectrum Scale Unified File and Object Storage available in PDF, EPUB and Kindle. Because of the explosion of unstructured data that is generated by individuals and organizations, a new storage paradigm that is called object storage has been developed. Object storage stores data in a flat namespace that scales to trillions of objects. The design of object storage also simplifies how users access data, supporting new types of applications and allowing users to access data by using various methods, including mobile devices and web applications. Data distribution and management are also simplified, allowing greater collaboration across the globe. OpenStack Swift is an emerging open source object storage software platform that is widely used for cloud storage. IBM® Spectrum Scale, which is based on IBM General Parallel File System (IBM GPFSTM) technology, is a high-performance and proven product that is used to store data for thousands of mission-critical commercial installations worldwide. Throughout this IBM RedpaperTM publication, IBM SpectrumTM Scale is used to refer to GPFS. The examples in this paper are based on IBM Spectrum ScaleTM V4.2.2. IBM Spectrum Scale also automates common storage management tasks, such as tiering and archiving at scale. Together, IBM Spectrum Scale and OpenStack Swift provide an enterprise-class object storage solution that efficiently stores, distributes, and retains critical data. This paper provides instructions about setting up and configuring IBM Spectrum Scale Object Storage that is based on OpenStack Swift. It also provides an initial set of preferred practices that ensure optimal performance and reliability. This paper is intended for administrators who are familiar with IBM Spectrum Scale and OpenStack Swift components.

The AI-Powered Enterprise

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Release : 2020-04-28
Genre : Business & Economics
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Book Rating : 501/5 ( reviews)

The AI-Powered Enterprise - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook The AI-Powered Enterprise write by Seth Earley. This book was released on 2020-04-28. The AI-Powered Enterprise available in PDF, EPUB and Kindle. Learn how to develop and employ an ontology, the secret weapon for successfully using artificial intelligence to create a powerful competitive advantage in your business. The AI-Powered Enterprise examines two fundamental questions: First, how will the future be different as a result of artificial intelligence? And second, what must companies do to stake their claim on that future? When the Web came along in the mid-90s, it transformed the behavior of customers and remade whole industries. Now, as part of its promise to bring revolutionary change in untold ways to human activity, artificial intelligence--AI--is about to create another complete transformation in how companies create and deliver value to customers. But despite the billions spent so far on bots and other tools, AI continues to stumble. Why can't it magically use all the data organizations generate to make them run faster and better? Because something is missing. AI works only when it understands the soul of the business. An ontology is a holistic digital model of every piece of information that matters to the business, from processes to products to people, and it's what makes the difference between the promise of AI and delivering on that promise. Business leaders who want to catch the AI wave--rather than be crushed by it--need to read The AI-Powered Enterprise. The book is the first to combine a sophisticated explanation of how AI works with a practical approach to applying AI to the problems of business, from customer experience to business operations to product development.