Ibm Open Platform For Dbaas On Ibm Power Systems

Author : Dino Quintero,Fabio Martins,Eduardo Luis Cerdas Moya,Rafael Camarda Silva Folco,IBM Redbooks
Publisher : IBM Redbooks
Page : 234 pages
File Size : 53,9 Mb
Release : 2018-03-26
Category : Computers
ISBN : 9780738442792

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IBM Open Platform for DBaaS on IBM Power Systems by Dino Quintero,Fabio Martins,Eduardo Luis Cerdas Moya,Rafael Camarda Silva Folco,IBM Redbooks Pdf

This IBM Redbooks publication describes how to implement an Open Platform for Database as a Service (DBaaS) on IBM Power Systems environment for Linux, and demonstrate the open source tools, optimization and best practices guidelines for it. Open Platform for DBaaS on Power Systems is an on-demand, secure, and scalable self-service database platform that automates provisioning and administration of databases to support new business applications and information insights. This publication addresses topics to help sellers, architects, brand specialists, distributors, resellers and anyone offering secure and scalable Open Platform for DBaaS on Power Systems solution with APIs that are consistent across heterogeneous open database types. An Open Platform for DBaaS on Power Systems solution has the capability to accelerate business success by providing an infrastructure, and tools leveraging Open Source and OpenStack software engineered to optimize hardware and software between workloads and resources so you have a responsive, and an adaptive environment. Moreover, this publication provides documentation to transfer the how-to-skills for cloud oriented operational management of Open Platform for DBaaS on Power Systems service and underlying infrastructure to the technical teams. Open Platform for DBaaS on Power Systems mission is to provide scalable and reliable cloud database as a service provisioning functionality for both relational and non-relational database engines, and to continue to improve its fully-featured and extensible open source framework. For example, Trove is a database as a service for OpenStack. It is designed to run entirely on OpenStack, with the goal of allowing users to quickly and easily utilize the features of a relational or non-relational database without the burden of handling complex administrative tasks. Cloud users and database administrators can provision and manage multiple database instances as needed. Initially, the service focuses on providing resource isolation at high performance while automating complex administrative tasks including deployment, configuration, patching, backups, restores, and monitoring. In the context of this publication, the monitoring tool implemented is Nagios Core which is an open source monitoring tool. Hence, when you see a reference of Nagios in this book, Nagios Core is the open source monitoring solution implemented. Also note that the implementation of Open Platform for DBaaS on IBM Power Systems is based on open source solutions. This book is targeted toward sellers, architects, brand specialists, distributors, resellers and anyone developing and implementing Open Platform for DBaaS on Power Systems solutions.

Author : Dino Quintero,Fabio Martins,Eduardo Moya,Rafael Folco
Publisher : Unknown
Page : 220 pages
File Size : 44,6 Mb
Release : 2018
Category : Cloud computing
ISBN : OCLC:1105765483

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IBM Open Platform for DBaaS on IBM Power Systems by Dino Quintero,Fabio Martins,Eduardo Moya,Rafael Folco Pdf

Abstract This IBM Redbooks publication describes how to implement an Open Platform for Database as a Service (DBaaS) on IBM Power Systems environment for Linux, and demonstrate the open source tools, optimization and best practices guidelines for it. Open Platform for DBaaS on Power Systems is an on-demand, secure, and scalable self-service database platform that automates provisioning and administration of databases to support new business applications and information insights. This publication addresses topics to help sellers, architects, brand specialists, distributors, resellers and anyone offering secure and scalable Open Platform for DBaaS on Power Systems solution with APIs that are consistent across heterogeneous open database types. An Open Platform for DBaaS on Power Systems solution has the capability to accelerate business success by providing an infrastructure, and tools leveraging Open Source and OpenStack software engineered to optimize hardware and software between workloads and resources so you have a responsive, and an adaptive environment. Moreover, this publication provides documentation to transfer the how-to-skills for cloud oriented operational management of Open Platform for DBaaS on Power Systems service and underlying infrastructure to the technical teams. Open Platform for DBaaS on Power Systems mission is to provide scalable and reliable cloud database as a service provisioning functionality for both relational and non-relational database engines, and to continue to improve its fully-featured and extensible open source framework. For example, Trove is a database as a service for OpenStack. It is designed to run entirely on OpenStack, with the goal of allowing users to quickly and easily utilize the features of a relational or non-relational database without the burden of handling complex administrative tasks. Cloud users and database administrators can provision and manage multiple database instances as needed. Initially, the service focuses on providing resource isolation at high performance while automating complex administrative tasks including deployment, configuration, patching, backups, restores, and monitoring. In the context of this publication, the monitoring tool implemented is Nagios Core which is an open source monitoring tool. Hence, when you see a reference of Nagios in this book, Nagios Core is the open source monitoring solution implemented. Also note that the implementation of Open Platform for DBaa ...

Author : Scott Vetter,Ahmed Azraq,Soheel Chughtai,Ahmed (Mash) Mashhour,Duy V Nguyen,Reginaldo Marcelo Dos Santos,IBM Redbooks
Publisher : IBM Redbooks
Page : 218 pages
File Size : 40,7 Mb
Release : 2018-04-12
Category : Computers
ISBN : 9780738443027

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Enhancing the IBM Power Systems Platform with IBM Watson Services by Scott Vetter,Ahmed Azraq,Soheel Chughtai,Ahmed (Mash) Mashhour,Duy V Nguyen,Reginaldo Marcelo Dos Santos,IBM Redbooks Pdf

This IBM® Redbooks® publication provides an introduction to the IBM POWER® processor architecture. It describes the IBM POWER processor and IBM Power SystemsTM servers, highlighting the advantages and benefits of IBM Power Systems servers, IBM AIX®, IBM i, and Linux on Power. This publication showcases typical business scenarios that are powered by Power Systems servers. It provides an introduction to the artificial intelligence (AI) capabilities that IBM Watson® services enable, and how these AI capabilities can be augmented in existing applications by using an agile approach to embed intelligence into every operational process. For each use case, the business benefits of adding Watson services are detailed. This publication gives an overview about each Watson service, and how each one is commonly used in real business scenarios. It gives an introduction to the Watson API explorer, which you can use to try the application programming interfaces (APIs) and their capabilities. The Watson services are positioned against the machine learning capabilities of IBM PowerAI. In this publication, you have a guide about how to set up a development environment on Power Systems servers, a sample code implementation of one of the business cases, and a description of preferred practices to move any application that you develop into production. This publication is intended for technical professionals who are interested in learning about or implementing IBM Watson services on AIX, IBM i, and Linux.

Author : Scott Vetter,Helen Lu,Maciej Olejniczak,IBM Redbooks
Publisher : IBM Redbooks
Page : 82 pages
File Size : 44,6 Mb
Release : 2018-01-31
Category : Computers
ISBN : 9780738456607

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Enterprise Data Warehouse Optimization with Hadoop on IBM Power Systems Servers by Scott Vetter,Helen Lu,Maciej Olejniczak,IBM Redbooks Pdf

Data warehouses were developed for many good reasons, such as providing quick query and reporting for business operations, and business performance. However, over the years, due to the explosion of applications and data volume, many existing data warehouses have become difficult to manage. Extract, Transform, and Load (ETL) processes are taking longer, missing their allocated batch windows. In addition, data types that are required for business analysis have expanded from structured data to unstructured data. The Apache open source Hadoop platform provides a great alternative for solving these problems. IBM® has committed to open source since the early years of open Linux. IBM and Hortonworks together are committed to Apache open source software more than any other company. IBM Power SystemsTM servers are built with open technologies and are designed for mission-critical data applications. Power Systems servers use technology from the OpenPOWER Foundation, an open technology infrastructure that uses the IBM POWER® architecture to help meet the evolving needs of big data applications. The combination of Power Systems with Hortonworks Data Platform (HDP) provides users with a highly efficient platform that provides leadership performance for big data workloads such as Hadoop and Spark. This IBM RedpaperTM publication provides details about Enterprise Data Warehouse (EDW) optimization with Hadoop on Power Systems. Many people know Power Systems from the IBM AIX® platform, but might not be familiar with IBM PowerLinuxTM, so part of this paper provides a Power Systems overview. A quick introduction to Hadoop is provided for those not familiar with the topic. Details of HDP on Power Reference architecture are included that will help both software architects and infrastructure architects understand the design. In the optimization chapter, we describe various topics: traditional EDW offload, sizing guidelines, performance tuning, IBM Elastic StorageTM Server (ESS) for data-intensive workload, IBM Big SQL as the common structured query language (SQL) engine for Hadoop platform, and tools that are available on Power Systems that are related to EDW optimization. We also dedicate some pages to the analytics components (IBM Data Science Experience (IBM DSX) and IBM SpectrumTM Conductor for Spark workload) for the Hadoop infrastructure.

Author : Scott Vetter,Thierry Huche,Behzad Koohi,Thanh V. Lam,Paul Reynolds,Sean M. Swehla,Jez Wain,IBM Redbooks
Publisher : IBM Redbooks
Page : 306 pages
File Size : 41,8 Mb
Release : 2012-05-23
Category : Computers
ISBN : 9780738436678

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Cloud Computing Infrastructure on IBM Power Systems: Getting started with ISDM by Scott Vetter,Thierry Huche,Behzad Koohi,Thanh V. Lam,Paul Reynolds,Sean M. Swehla,Jez Wain,IBM Redbooks Pdf

Managing IT systems is difficult. Virtualization brings numerous benefits to the datacenter and system administrators. However, it also creates a new set of choices. More choice implies more decisions, and thus an increased management responsibility. Furthermore, the move toward cloud computing, with a service-based acquisition and delivery model, requires that datacenter managers take a holistic view of the resources that they manage and the actors that access the data center. IBM® Service Delivery Manager addresses this problem domain. Delivered as a set of appliances, it automates provisioning, deprovisioning, metering, and management of an IT platform, and the services it provides. It addresses the needs of both IT management and service users. This IBM Redbooks® publication is intended for technical professionals who want to understand and deploy IBM ISDM Cloud on a Power platform.

Author : Ahmed Azraq
Publisher : Unknown
Page : 128 pages
File Size : 50,9 Mb
Release : 2018
Category : Client/server computing
ISBN : OCLC:1035765418

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Enhancing the IBM Power Systems Platform with IBM Watson Services by Ahmed Azraq Pdf

Author : Scott Vetter,Lokesh Bhatt,Turgut Genc,Sabine Jordan,Wasif Mohammad,IBM Redbooks
Publisher : IBM Redbooks
Page : 194 pages
File Size : 52,8 Mb
Release : 2022-08-04
Category : Computers
ISBN : 9780738460048

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IBM Power Systems Private Cloud with Shared Utility Capacity: Featuring Power Enterprise Pools 2.0 by Scott Vetter,Lokesh Bhatt,Turgut Genc,Sabine Jordan,Wasif Mohammad,IBM Redbooks Pdf

This IBM® Redbooks® publication is a guide to IBM Power Systems Private Cloud with Shared Utility Capacity featuring Power Enterprise Pools (PEP) 2.0. This technology enables multiple servers in an to share base processor and memory resources and draw on pre-paid credits when the base is exceeded. Previously, the Shared Utility Capacity feature supported IBM Power E950 (9040-MR9) and IBM Power E980 (9080-M9S). The feature was extended in August 2020 to include the scale-out IBM Power servers that were announced on 14 July 2020, and it received dedicated processor support later in the year. The IBM Power S922 (9009-22G), and IBM Power S924 (9009-42G) servers, which use the latest IBM POWER9TM processor-based technology and support the IBM AIX®, IBM i, and Linux operating systems (OSs), are now supported. The previous scale-out models of Power S922 (9009-22A), and Power S924 (9009-42A) servers cannot be added to an enterprise pool. With the availability of the IBM Power E1080 (9080-HEX) in September 2021, support for this system as part of a Shared Utility Pool has become available. The goal of this book is to provide an overview of the solution's environment and guidance for planning a deployment of it. The book also covers how to configure IBM Power Systems Private Cloud with Shared Utility Capacity. There are also chapters about migrating from PEP 1.0 to PEP 2.0 and various use cases. This publication is for professionals who want to acquire a better understanding of IBM Power Systems Private Cloud, and Shared Utility Capacity. The intended audience includes: Clients Sales and marketing professionals Technical support professionals IBM Business Partners This book expands the set of IBM Power documentation by providing a desktop reference that offers a detailed technical description of IBM Power Systems Private Cloud with Shared Utility Capacity.

Author : Scott Vetter,Javier Bazan Lazcano,Stephen Lutz,IBM Redbooks
Publisher : IBM Redbooks
Page : 124 pages
File Size : 42,6 Mb
Release : 2018-07-24
Category : Computers
ISBN : 9780738457031

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Building a SAN-less Private Cloud with IBM PowerVM and IBM PowerVC by Scott Vetter,Javier Bazan Lazcano,Stephen Lutz,IBM Redbooks Pdf

This IBM® RedpaperTM publication describes a software-defined infrastructure (SDI) solution with IBM PowerVC. In IBM PowerVC SDI, you combine scale-out IBM Power SystemsTM servers with software that creates the whole stack that is needed to provide virtual machines (VMs) for applications such as open source databases or Hadoop. The SDI solution uses base IBM Power Systems technologies such as IBM PowerVM® NovaLink and the open source hypervisor kernel-based virtual machine (KVM). The solution combines with sophisticated storage technologies, such as IBM SpectrumTM Scale, and with the powerful networking capabilities that are provided by the Open vSwitch (OVS) technology. IBM PowerVC "hides" much of this software so that it is not apparent to your daily cloud operations. By using IBM PowerVC, you can manage scale-out SDI-based systems along with traditional PowerVM systems. This publication describes how to install and configure the SDI solution using PowerVM and IBM PowerVC running on the Power Systems platform. This publication also presents the essentials to help existing Power Systems technical specialists use existing "under the covers" disk space to build a cost-effective cloud solution.

Author : Dino Quintero,Daniel de Souza Casali,Marcelo Correia Lima,Istvan Gabor Szabo,Maciej Olejniczak,Tiago Rodrigues de Mello,Nilton Carlos dos Santos,IBM Redbooks
Publisher : IBM Redbooks
Page : 176 pages
File Size : 47,7 Mb
Release : 2015-06-19
Category : Computers
ISBN : 9780738440750

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IBM Platform Computing Solutions for High Performance and Technical Computing Workloads by Dino Quintero,Daniel de Souza Casali,Marcelo Correia Lima,Istvan Gabor Szabo,Maciej Olejniczak,Tiago Rodrigues de Mello,Nilton Carlos dos Santos,IBM Redbooks Pdf

This IBM® Redbooks® publication is a refresh of IBM Technical Computing Clouds, SG24-8144, Enhance Inbound and Outbound Marketing with a Trusted Single View of the Customer, SG24-8173, and IBM Platform Computing Integration Solutions, SG24-8081, with a focus on High Performance and Technical Computing on IBM Power SystemsTM. This book describes synergies across the IBM product portfolio by using case scenarios and showing solutions such as IBM SpectrumTM Scale (formerly GPFSTM). This book also reflects and documents the IBM Platform Computing Cloud Services as part of IBM Platform Symphony® for analytics workloads and IBM Platform LSF® (with new features, such as a Hadoop connector, a MapReduce accelerator, and dynamic cluster) for job scheduling. Both products are used to help customers schedule and analyze large amounts of data for business productivity and competitive advantages. This book is targeted at technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) that are responsible for delivering cost-effective cloud services and big data solutions on IBM Power Systems to uncover insights among client data so that they can take actions to optimize business results, product development, and scientific discoveries.

Author : Dino Quintero,Cesar Maciel,Marcos Quezada,IBM Redbooks
Publisher : IBM Redbooks
Page : 22 pages
File Size : 42,9 Mb
Release : 2018-02-14
Category : Computers
ISBN : 9780738456676

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IBM Power Systems Bits: Understanding IBM Patterns for Cognitive Systems by Dino Quintero,Cesar Maciel,Marcos Quezada,IBM Redbooks Pdf

This IBM® RedpaperTM publication addresses IBM Patterns for Cognitive Systems topics to anyone developing, implementing, and using Cognitive Solutions on IBM Power SystemsTM servers. Moreover, this publication provides documentation to transfer the knowledge to the sales and technical teams. This publication describes IBM Patterns for Cognitive Systems. Think of a pattern as a use case for a specific scenario, such as event-based real-time marketing for real-time analytics, anti-money laundering, and addressing data oceans by reducing the cost of Hadoop. These examples are just a few of the cognitive patterns that are now available. Patterns identify and address challenges for cognitive infrastructures. These entry points then help you understand where you are on the cognitive journey and enables IBM to demonstrate the set of solutions capabilities for each lifecycle stage. This book targets technical readers, including IT specialist, systems architects, data scientists, developers, and anyone looking for a guide about how to unleash the cognitive capabilities of IBM Power Systems by using patterns.

Author : Dino Quintero,Edmund Haefele,Gerd Kehrer,Katharina Probst,IBM Redbooks
Publisher : IBM Redbooks
Page : 62 pages
File Size : 53,6 Mb
Release : 2020-05-08
Category : Computers
ISBN : 9780738458724

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IBM Power Systems Infrastructure I/O for SAP Applications by Dino Quintero,Edmund Haefele,Gerd Kehrer,Katharina Probst,IBM Redbooks Pdf

This IBM® Redpaper publication describes practical experiences to run SAP workloads to take advantage of IBM Power Systems I/O capabilities. With IBM POWER® processor-based servers, you have the flexibility to fit seamlessly new applications and workloads into a single data center, and even consolidate them into a single server. This approach highlights all viable options and describes the pros and cons of each one to select the correct option for a specific data center. The target audiences of this book are architects, IT specialists, and systems administrators deploying SAP workloads, who spend much time and effort managing, provisioning, and monitoring SAP software systems and landscapes on IBM Power Systems servers.

Author : Dino Quintero,Kanako Harada,Reinaldo Tetsuo Katahira,Antonio Moreira de Oliveira Neto,Robert Simon,Brian Yaeger,IBM Redbooks
Publisher : IBM Redbooks
Page : 294 pages
File Size : 55,9 Mb
Release : 2016-06-01
Category : Computers
ISBN : 9780738441689

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Implementing an Optimized Analytics Solution on IBM Power Systems by Dino Quintero,Kanako Harada,Reinaldo Tetsuo Katahira,Antonio Moreira de Oliveira Neto,Robert Simon,Brian Yaeger,IBM Redbooks Pdf

This IBM® Redbooks® publication addresses topics to use the virtualization strengths of the IBM POWER8® platform to solve clients' system resource utilization challenges and maximize systems' throughput and capacity. This book addresses performance tuning topics that will help answer clients' complex analytic workload requirements, help maximize systems' resources, and provide expert-level documentation to transfer the how-to-skills to the worldwide teams. This book strengthens the position of IBM Analytics and Big Data solutions with a well-defined and documented deployment model within a POWER8 virtualized environment, offering clients a planned foundation for security, scaling, capacity, resilience, and optimization for analytics workloads. This book is targeted toward technical professionals (analytics consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for providing analytics solutions and support on IBM Power SystemsTM.

Author : Michael Tabron,Alex Cabanes,IBM Redbooks
Publisher : IBM Redbooks
Page : 18 pages
File Size : 40,7 Mb
Release : 2020-11-24
Category : Computers
ISBN : 9780738459219

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SUSE and IBM Power Systems for SAP HANA by Michael Tabron,Alex Cabanes,IBM Redbooks Pdf

For organizations charting their way forward in today's digital economy, the clear imperative is to find better ways of extracting more value from data. By gleaning insight from data regarding customer preferences and business operations, organizations can respond to demand more effectively and better deliver the experiences that today's customers want. To this end, many organizations running SAP solutions seek to make the move to the SAP HANA database. SAP HANA offers the speed of in-memory data processing and the ability to combine transactions and analytics on a single platform for insight in real time. However, considerations at the level of IT infrastructure can make or break the success of an SAP HANA implementation. What the database runs on, in other words, matters significantly. This IBM® Redguide publication explores the value of deploying SAP HANA on SUSE Linux Enterprise Server for SAP Applications and the IBM Power platform with IBM POWER9TM processors. Both offerings are optimized to help your organization reap the rewards of SAP HANA while also transforming IT service delivery more generally. Designed for enterprise-grade operations, SUSE Linux Enterprise Server for SAP Applications offers an open-source software-defined infrastructure (SDI) that is optimized for SAP workloads. Reliable, fast, and secure, it also supports the automation that is needed to substantially free up IT staff from service deployment and management duties. Power Systems servers support SAP HANA implementations according to the SAP Tailored Data Center Integration (TDI) 5.0 specification. Optimized for scale-up and scale-out scenarios and built to support virtual persistent memory, Power Systems serves help you provision faster, scale affordably, and maximize uptime by persisting memory across virtual machines (VMs) and multiple SAP HANA instances. Both SUSE and IBM have partnered with SAP for decades to fine-tune these offerings. Together, SUSE and IBM solutions offer a way forward for deploying, optimizing, and running SAP HANA implementations that is proven to be successful. This publication looks at various aspects of this combined offering in greater detail.

Author : Scott Vetter,Alexandre Bicas Caldeira,Bartłomiej Grabowski,Volker Haug,Marc-Eric Kahle,Andrew Laidlaw,Cesar Diniz Maciel,Monica Sanchez,Seulgi Yoppy Sung,IBM Redbooks
Publisher : IBM Redbooks
Page : 194 pages
File Size : 54,8 Mb
Release : 2017-07-10
Category : Computers
ISBN : 9780738453729

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IBM Power Systems S814 and S824 Technical Overview and Introduction by Scott Vetter,Alexandre Bicas Caldeira,Bartłomiej Grabowski,Volker Haug,Marc-Eric Kahle,Andrew Laidlaw,Cesar Diniz Maciel,Monica Sanchez,Seulgi Yoppy Sung,IBM Redbooks Pdf

This IBM® RedpaperTM publication is a comprehensive guide covering the IBM Power System S814 (8286-41A) and IBM Power System S824 (8286-42A) servers that support IBM AIX®, IBM i, and Linux operating systems. The objective of this paper is to introduce the major innovative Power S814 and Power S824 offerings and their relevant functions: The new IBM POWER8TM processor, available at frequencies of 3.02 GHz, 3.52 GHz, 3.72 GHz, 3.89 GHz, and 4.15 GHz Significantly strengthened cores and larger caches Two integrated memory controllers with improved latency and bandwidth Integrated I/O subsystem and hot-pluggable PCIe Gen3 I/O slots Improved reliability, serviceability, and availability (RAS) functions IBM EnergyScaleTM technology that provides features such as power trending, power-saving, capping of power, and thermal measurement This publication is for professionals who want to acquire a better understanding of IBM Power SystemsTM products. This paper expands the current set of IBM Power Systems documentation by providing a desktop reference that offers a detailed technical description of the Power S814 and Power S824 systems. This paper does not replace the latest marketing materials and configuration tools. It is intended as an additional source of information that, together with existing sources, can be used to enhance your knowledge of IBM server solutions.

Author : Scott Vetter,Ivaylo B. Bozhinov,Anto A John,Rafael Freitas de Lima,Ahmed.(Mash) Mashhour,James Van Oosten,Fernando Vermelho,Allison White,IBM Redbooks
Publisher : IBM Redbooks
Page : 162 pages
File Size : 43,8 Mb
Release : 2019-04-10
Category : Computers
ISBN : 9780738457512

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AI and Big Data on IBM Power Systems Servers by Scott Vetter,Ivaylo B. Bozhinov,Anto A John,Rafael Freitas de Lima,Ahmed.(Mash) Mashhour,James Van Oosten,Fernando Vermelho,Allison White,IBM Redbooks Pdf

As big data becomes more ubiquitous, businesses are wondering how they can best leverage it to gain insight into their most important business questions. Using machine learning (ML) and deep learning (DL) in big data environments can identify historical patterns and build artificial intelligence (AI) models that can help businesses to improve customer experience, add services and offerings, identify new revenue streams or lines of business (LOBs), and optimize business or manufacturing operations. The power of AI for predictive analytics is being harnessed across all industries, so it is important that businesses familiarize themselves with all of the tools and techniques that are available for integration with their data lake environments. In this IBM® Redbooks® publication, we cover the best practices for deploying and integrating some of the best AI solutions on the market, including: IBM Watson Machine Learning Accelerator (see note for product naming) IBM Watson Studio Local IBM Power SystemsTM IBM SpectrumTM Scale IBM Data Science Experience (IBM DSX) IBM Elastic StorageTM Server Hortonworks Data Platform (HDP) Hortonworks DataFlow (HDF) H2O Driverless AI We map out all the integrations that are possible with our different AI solutions and how they can integrate with your existing or new data lake. We also walk you through some of our client use cases and show you how some of the industry leaders are using Hortonworks, IBM PowerAI, and IBM Watson Studio Local to drive decision making. We also advise you on your deployment options, when to use a GPU, and why you should use the IBM Elastic Storage Server (IBM ESS) to improve storage management. Lastly, we describe how to integrate IBM Watson Machine Learning Accelerator and Hortonworks with or without IBM Watson Studio Local, how to access real-time data, and security. Note: IBM Watson Machine Learning Accelerator is the new product name for IBM PowerAI Enterprise. Note: Hortonworks merged with Cloudera in January 2019. The new company is called Cloudera. References to Hortonworks as a business entity in this publication are now referring to the merged company. Product names beginning with Hortonworks continue to be marketed and sold under their original names.