This edition applies to FlashSystem A9000 and A9000R, Model 415 and 425, with system software Version 12.3 IBM® FlashSystem A9000 and IBM FlashSystem® A9000R provide copy functions suited for various data protection scenarios that enable you to enhance your business continuance, disaster recovery, data migration, and backup solutions. These functions allow point-in-time copies, known as snapshots, and also include remote copy capabilities in either synchronous or asynchronous mode. Furthermore, support for IBM Hyper-Scale Mobility enables a seamless migration of IBM FlashSystem A9000 or A9000R volumes to another with no interference to the host. Starting with software level V12.1, the IBM HyperSwap® feature delivers always-on, high availability (HA) storage service for storage volumes in a production environment. Starting with version 12.2, asynchronous replication between the IBM XIV® Gen3 and FlashSystem A9000 or A9000R is supported. Starting with Version 12.2.1, Hyper-Scale Mobility is enabled between XIV Gen3 and FlashSystem A9000 or A9000R. Version 12.3 offers Multi-site replication solution that entails both High Availability (HA) and Disaster Recovery (DR)function by combining HyperSwap and Asynchronous replication to a third site. This IBM Redpaper™ publication is intended for anyone who needs a detailed and practical understanding of the IBM FlashSystem A9000 and IBM FlashSystem A9000R replication and business continuity functions.

This IBM® Redbooks® publication covers IBM TS7700 R5.1. The IBM TS7700 is part of a family of IBM Enterprise tape products. This book is intended for system architects and storage administrators who want to integrate their storage systems for optimal operation. Building on over 20 years of virtual tape experience, the TS7770 supports the ability to store virtual tape volumes in an object store. The TS7700 supported off loading to physical tape for over two decades. Off loading to physical tape behind a TS7700 is utilized by hundreds of organizations around the world. By using the same hierarchical storage techniques, the TS7700 (TS7770 and TS7760) can also off load to object storage. Because object storage is cloud-based and accessible from different regions, the TS7700 Cloud Storage Tier support essentially allows the cloud to be an extension of the grid. As of this writing, the TS7700C supports the ability to off load to IBM Cloud® Object Storage and Amazon S3. This publication explains features and concepts that are specific to the IBM TS7700 as of release R5.1. The R5.1 microcode level provides IBM TS7700 Cloud Storage Tier enhancements, IBM DS8000® Object Storage enhancements, Management Interface dual control security, and other smaller enhancements. The R5.1 microcode level can be installed on the IBM TS7770 and IBM TS7760 models only. TS7700 provides tape virtualization for the IBM z environment. Tape virtualization can help satisfy the following requirements in a data processing environment: Improved reliability and resiliency Reduction in the time that is needed for the backup and restore process Reduction of services downtime that is caused by physical tape drive and library outages Reduction in cost, time, and complexity by moving primary workloads to virtual tape Increased efficient procedures for managing daily batch, backup, recall, and restore processing On-premises and off-premises object store cloud storage support as an alternative to physical tape for archive and disaster recovery New and existing capabilities of the TS7700 5.1 include the following highlights: Eight-way Grid Cloud, which consists of up to three generations of TS7700 Synchronous and asynchronous replication Full AES256 encryption for replication data that is in-flight and at-rest Tight integration with IBM Z and DFSMS policy management Optional target for DS8000 Transparent Cloud Tier using DFSMS DS8000 Object Store AES256 in-flight encryption and compression Optional Cloud Storage Tier support for archive and disaster recovery 16 Gb IBM FICON® throughput up to 5 GBps per TS7700 cluster IBM Z hosts view up to 3,968 common devices per TS7700 grid Grid access to all data independent of where it exists TS7770 Cache On-demand feature that is based capacity licensing TS7770 support of SSD within the VED server The TS7700T writes data by policy to physical tape through attachment to high-capacity, high-performance IBM TS1150, and IBM TS1140 tape drives that are installed in an IBM TS4500 or TS3500 tape library. The TS7770 models are based on high-performance and redundant IBM POWER9™ technology. They provide improved performance for most IBM Z tape workloads when compared to the previous generations of IBM TS7700.

This IBM® Redbooks® publication introduces the latest member of the IBM Z® platform, the IBM z15™. It includes information about the Z environment and how it helps integrate data and transactions more securely. It also provides insight for faster and more accurate business decisions. The z15 is a state-of-the-art data and transaction system that delivers advanced capabilities, which are vital to any digital transformation. The z15 is designed for enhanced modularity, and occupies an industry-standard footprint. It is offered as a single air-cooled 19-inch frame called the z15 T02, or as a multi-frame (1 to 4 19-inch frames) called the z15 T01. Both z15 models excel at the following tasks:: Using hybrid multicloud integration services Securing and protecting data with encryption everywhere Providing resilience with key to zero downtime Transforming a transactional platform into a data powerhouse Getting more out of the platform with operational analytics Accelerating digital transformation with agile service delivery Revolutionizing business processes Blending open source and IBM Z technologies This book explains how this system uses innovations and traditional Z strengths to satisfy growing demand for cloud, analytics, and open source technologies. With the z15 as the base, applications can run in a trusted, reliable, and secure environment that improves operations and lessens business risk.

This IBM® Redpaper™ publication provides a list of features and functions that are supported on IBM Z, including the IBM z15™ (z15) - Machine type 8561, IBM z14™ (z14) - Machine types 3906 and 3907, IBM z13®(z13), and IBM z13s®(z13s).

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Cactus Raazi is the founder and former CEO of Elefant Inc., now a part of Exos Financial, which focused on building smarter marketplaces through AI-powered pricing. Cactus led Elefant Inc. to success working with a brilliant team of engineers and marketplace experts focused on improving the pricing, transparency, and efficiency of the bond market. In more than thirty years in sales, Cactus has developed an acute sense of how price affects the commercial transaction (and how we get it wrong). He has a graduate degree in business analytics from NYU, and lives with his family in Salt Lake City, Utah.

Show Notes 1:50 - Where does pricing go bad? 10:00 – What pricing models work the best? 17:00 – How does goto market play into pricing? 18:53 – Personalized marketing  21:33 – If someone got a better price 22:29 – Good customer vs bad customer  Cactus Raazi - LinkedIn Cactus Raazi’s book Price

Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.    Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This IBM® Redpaper publication documents how to containerize and deploy SAP software into Red Hat OpenShift 4 Kubernetes clusters on IBM Power Systems by using predefined Red Hat Ansible scripts, different configurations, and theoretical knowledge, and it documents the findings through sample scenarios. This paper documents the following topics: Running SAP S/4HANA, SAP HANA, and SAP NetWeaver on-premises software in containers that are deployed in Red Hat OpenShift 4 on IBM Power Systems hardware. Existing SAP systems running on IBM Power Systems can be repackaged at customer sites into containers that use predefined Red Hat Ansible scripts. These containers can be deployed multiple times into Red Hat OpenShift 4 Kubernetes clusters on IBM Power Systems. The target audiences for this paper are Chief Information Officers (CIOs) that are interested in containerized solutions of SAP Enterprise Resource Planning (ERP) systems, developers that need containerized environments, and system administrators that provide and manage the infrastructure with underpinning automation. This paper complements the documentation that is available at IBM Knowledge Center, and it aligns with the educational materials that are provided by IBM Garage™ for Systems Education.

This IBM Redbooks publication describes the concepts, architecture, and implementation of the IBM DS8900F family. The book provides reference information to assist readers who need to plan for, install, and configure the DS8900F systems. This edition applies to DS8900F systems with IBM DS8000® Licensed Machine Code (LMC) 7.9.10 (bundle version 89.10.xx.x), referred to as Release 9.1. The DS8900F family offers two classes: IBM DS8910F: Flexibility Class all-flash: The Flexibility Class is designed to reduce complexity while addressing various workloads at the lowest DS8900F family entry cost. IBM DS8950F: Agility Class all-flash: The Agility Class is designed to consolidate all your mission-critical workloads for IBM Z®, IBM LinuxONE, IBM Power Systems, and distributed environments under a single all-flash storage solution. The DS8900F architecture relies on powerful IBM POWER9™ processor-based servers that manage the cache to streamline disk input/output (I/O), which maximizes performance and throughput. These capabilities are further enhanced by High-Performance Flash Enclosures (HPFE) Gen2. Like its predecessors, the DS8900F supports advanced disaster recovery (DR) solutions, business continuity solutions, and thin provisioning. The IBM DS8910F Rack-Mounted model 993 is described in a separate publication: IBM DS8910F Model 993 Rack-Mounted Storage System Release 9.1, REDP-5566.

This IBM® Redbooks® publication provides options and best practices for deploying SAS Viya 3.5 on IBM POWER9™ servers. SAS Viya is a complex set of artificial intelligence (AI) and analytics solutions that require a properly planned infrastructure to meet the needs of the data scientists, business analysts, and application developers who use Viya capabilities in their daily work activities. Regardless of the user role, the underlying infrastructure matters to ensure performance expectations and service level agreement (SLA) requirements are met or exceeded. Although the general planning process is similar for deploying SAS Viya on any platform, key IBM POWER9 differentiators must be considered to ensure that an optimized infrastructure deployment is achieved. This guide provides useful information that is needed during the planning, sizing, ordering, installing, configuring, and tuning phases of your SAS Viya deployment on POWER9 processor-based servers. This book addresses topics for IT architects, IT specialists, developers, sellers, and anyone who wants to implement SAS Viya 3.5 on IBM POWER9 servers. Moreover, this publication provides documentation to transfer the how-to-skills to the technical teams, and solution guidance to the sales team. This book compliments the documentation that is available in IBM Knowledge Center and aligns with the educational materials that are provided by the IBM Systems Software Education (SSE).

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Cactus Raazi is the founder and former CEO of Elefant Inc., now a part of Exos Financial, which focused on building smarter marketplaces through AI-powered pricing. Cactus led Elefant Inc. to success working with a brilliant team of engineers and marketplace experts focused on improving the pricing, transparency, and efficiency of the bond market. In more than thirty years in sales, Cactus has developed an acute sense of how price affects the commercial transaction (and how we get it wrong). He has a graduate degree in business analytics from NYU, and lives with his family in Salt Lake City, Utah.

Show Notes 5:45 – How do you make the connection and go start to Price? 9:20 – What should I be doing differently 16:25 – Topic of price 17:38  - How do you define price? 19:53 – How are prices set today? 26:27 – How do you track customers? 27:39 – Personalized pricing Cactus Raazi - LinkedIn Cactus Raazi’s book Price

Connect with the Team Producer Kate Mayne- LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Michel Tricot. Michel is the Co-Founder of Airbyte an open source ELT standard for replicating data for applications, API and databases. Michel has been working in data engineering for 15 years, head of integration and engineering at LiveRamp, he has been involved with data ingestion and data connectors. Airbyte has raised over 5 million in seed money.  

Show Notes 3:30 – Why start a company in 2020? 5:23 – Is this company centered around ETL? 9:56 – Why is ELT more attractive than ETL? 15:09 – Give us your definition of data engineering and talk about Airbyte 20:19 – What’s the business plan around open source? 23:49 – Walk us through a use case 29:17 – Moving data can be difficult  31:09 – What makes Airbyte different? 33:31 – What is the biggest lesson you’ve learned? Slack GitHub Airbyte

Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This IBM® Redbooks® Product Guide publication describes the IBM FlashSystem® 7200 solution, which is a comprehensive, all-flash, and NVMe-enabled enterprise storage solution that delivers the full capabilities of IBM FlashCore® technology. In addition, it provides a rich set of software-defined storage (SDS) features, including data reduction and de-duplication, dynamic tiering, thin-provisioning, snapshots, cloning, replication, data copy services, and IBM HyperSwap® for high availability (HA). Scale-out and scale-up configurations further enhance capacity and throughput for better availability

This IBM® Redbooks® Product Guide publication describes the IBM FlashSystem® 9200 solution, which is a comprehensive, all-flash, and NVMe-enabled enterprise storage solution that delivers the full capabilities of IBM FlashCore® technology. In addition, it provides a rich set of software-defined storage (SDS) features, including data reduction and de-duplication, dynamic tiering, thin-provisioning, snapshots, cloning, replication, data copy services, and IBM HyperSwap® for high availability (HA). Scale-out and scale-up configurations further enhance capacity and throughput for better availability.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Ahmed Elsamadisi. Ahmed started his career at Cornell’s Autonomous Systems Laboratory focusing on human-robot interaction and Bayesian data fusion as well as building algorithms for autonomous cars. He then joined Raytheon to develop tactical AI algorithms for missile defense, four of which are still in use today by the US Military. Eventually he moved on to Raytheon’s Advanced Technology division to focus on building human exoskeletons--like the Iron Man suit but made of rubber because it’s way more energy efficient and not a fictional concept ignoring proper scientific practices-- and algorithms for adaptive decision making. In 2015 Ahmed joined We Work, and over the next two years Ahmed built We Work’s standard data infrastructure and grew its data team from one to forty Data Engineers and Data Analysts. After implementing a single time series table data model at We Work and seeing the immediate results, Ahmed wanted to figure out a way to bring this new found knowledge to the world. Ahmed founded Narrator to allow startups to leverage this new approach, ask questions, understand customer behavior, and analyze data across all their systems from a simple Universal Data Model.  Show Notes 3:26 – Tell us about algorithms for autonomous cars 6:26 – Anything you can say around missile defense? 8:58 – Tell us about human exoskeletons 13:18 – What kind of data were you using to make decisions around the Iron Man suit? 16:02 – What did you learn at We Work? 25:00 – How we answer a question in the world of Narrator 32:24 – Does Narrator sit between the application and the database? 33:28 – Walk us through a Use Case Website: Narrator AI.com Books:  The Power of Bad Never Split The Difference Ahmed Elsamadisi - LinkedIn    Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing.

Al and Dr. Lee try and help us understand Quantum Computing as a new technology.   

Show Notes 3:03 - Dr. Lee talks about her day to day job 4:40 – The challenge  6:12 - Dr. Lee describes quantum  8:03 – What is quantum computing going to do for us that we can’t do today? 9:30 – How does this work? 17:50 – What kind of problem is quantum computing suited to answer? 19:40 – Will quantum computing replace traditional computing? 23:36 – Who can use quantum computing? 32:30 – Security and quantum 33:50 – Dr. Lee’s team Dr. Kayla Lee - LinkedIn Ten More Universities Join The IBM-HBCU Quantum Center IBM Quantum Computing  Qiskit HBCU Center Driving Diversity and Inclusion in Quantum Computing IBM’s Roadmap For Scaling Quantum Technology

Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

This IBM® Redpaper® publication is intended to facilitate the deployment and configuration of the IBM Spectrum® Scale based high-performance storage solutions for the scalable data and AI solutions on Amazon Web Services (AWS). Configuration, testing results, and tuning guidelines for running the IBM Spectrum Scale based high-performance storage solutions for the data and AI workloads on AWS are the focus areas of the paper. The LAB Validation was conducted with the Red Hat Linux nodes to IBM Spectrum Scale by using the various Amazon Elastic Compute Cloud (EC2) instances. Simultaneous workloads are simulated across multiple Amazon EC2 nodes running with Red Hat Linux to determine scalability against the IBM Spectrum Scale clustered file system. Solution architecture, configuration details, and performance tuning demonstrate how to maximize data and AI application performance with IBM Spectrum Scale on AWS.

IBM® Spectrum Protect Plus is a data protection solution that provides near-instant recovery, replication, retention management, and reuse for virtual machines, databases, and applications backups in hybrid multicloud environments. IBM Knowledge Center for IBM Spectrum® Protect Plus provides extensive documentation for installation, deployment, and usage. In addition, build and size an IBM Spectrum Protect Plus solution. The goal of this IBM Redpaper® publication is to summarize and complement the available information by providing useful hints and tips that are based on the authors' practical experience in installing and supporting IBM Spectrum Protect Plus in customer environments. Over time, our aim is to compile a set of best practices that cover all aspects of the product, from planning and installation to tuning, maintenance, and troubleshooting.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Robin Hernandez, Robin is the VP of Offering Management Cloud Data for Watson AI Ops. Robin started out in software development, and then worked in Technical Sales, IBM Cloud Garage, and then Product Management.

Show Notes 3:46 – What is AI Ops? 6:31 – What is the ROI? 12:00 – What does it take to setup AI? 17:48 – How does this really work? 21:34 – I am in Services what do I get? 26:06 – What king of grantees does AI offer? 28:12 – Who is monitoring AI? IBM AI Ops    Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Master the fundamentals of SPSS with this newly updated and instructive resource The newly and thoroughly revised Second Edition of SPSS Essentials delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) for the effective collection, management, and analysis of data. The accomplished researchers and authors provide readers with the practical nuts and bolts of SPSS usage and data entry, with a particular emphasis on managing and manipulating data. The book offers an introduction to SPSS, how to navigate it, and a discussion of how to understand the data the reader is working with. It also covers inferential statistics, including topics like hypothesis testing, one-sample Z-testing, T-testing, ANOVAs, correlations, and regression. Five unique appendices round out the text, providing readers with discussions of dealing with real-world data, troubleshooting, advanced data manipulations, and new workbook activities. SPSS Essentials offers a wide variety of features, including: A revised chapter order, designed to match the pacing and content of typical undergraduate statistics classes An explanation of when particular inferential statistics are appropriate for use, given the nature of the data being worked with Additional material on understanding your data sample, including discussions of SPSS output and how to find the most relevant information A companion website offering additional problem sets, complete with answers Perfect for undergraduate students of the social sciences who are just getting started with SPSS, SPSS Essentials also belongs on the bookshelves of advanced placement high school students and practitioners in social science who want to brush up on the fundamentals of this powerful and flexible software package.

The IBM® TS7700 features a functional enhancement that allows for the TS7700 to act as an object store for transparent cloud tiering with IBM DS8000® (DS8K), DFSMShsm (HSM), and native DFSMSdss (DSS). This function can be used to move data sets directly from DS8000 to TS7700. This IBM Redpaper publication describes the client value, and how DFSMS, DS8000, and TS7700 are set up to enable and use the function.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes how the decision to pursue a dream ultimately affected his career.

Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.