Complete Analytics With Ibm Db2 Query Management Facility Accelerating Well Informed Decisions Across The Enterprise

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Complete Analytics with IBM DB2 Query Management Facility: Accelerating Well-Informed Decisions Across the Enterprise

Kristi Ramey,Mike Biere,Peter Richardson,Shawn Sullivan,Jeremy Weatherall,IBM Redbooks
Complete Analytics with IBM DB2 Query Management Facility Accelerating Well Informed Decisions Across the Enterprise Book PDF

Author : Kristi Ramey,Mike Biere,Peter Richardson,Shawn Sullivan,Jeremy Weatherall,IBM Redbooks
Publisher : IBM Redbooks
Page : 422 pages
File Size : 48,5 Mb
Release : 2012-08-20
Category : Computers
ISBN : 9780738437019

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Complete Analytics with IBM DB2 Query Management Facility: Accelerating Well-Informed Decisions Across the Enterprise by Kristi Ramey,Mike Biere,Peter Richardson,Shawn Sullivan,Jeremy Weatherall,IBM Redbooks Pdf

There is enormous pressure today for businesses across all industries to cut costs, enhance business performance, and deliver greater value with fewer resources. To take business analytics to the next level and drive tangible improvements to the bottom line, it is important to manage not only the volume of data, but the speed with which actionable findings can be drawn from a wide variety of disparate sources. The findings must be easily communicated to those responsible for making both strategic and tactical decisions. At the same time, strained IT budgets require that the solution be self-service for everyone from DBAs to business users, and easily deployed to thin, browser-based clients. Business analytics hosted in the Query Management FacilityTM (QMFTM) on DB2® and System z® allow you to tackle these challenges in a practical way, using new features and functions that are easily deployed across the enterprise and easily consumed by business users who do not have prior IT experience. This IBM® Redbooks® publication provides step-by-step instructions on using these new features: Access to data that resides in any JDBC-compliant data source OLAP access through XMLA 150+ new analytical functions Graphical query interfaces and graphical reports Graphical, interactive dashboards Ability to integrate QMF functions with third-party applications Support for the IBM DB2 Analytics Accelerator A new QMF Classic perspective in QMF for Workstation Ability to start QMF for TSO as a DB2 for z/OS stored procedure New metadata capabilities, including ER diagrams and capability to federate data into a single virtual source

Complete Analytics with IBM DB2 Query Management Facility

Kristi Ramey,Mike Biere,Peter Richardson,Shawn Sullivan,Jeremy Weatherall
Complete Analytics with IBM DB2 Query Management Facility Book PDF

Author : Kristi Ramey,Mike Biere,Peter Richardson,Shawn Sullivan,Jeremy Weatherall
Publisher : Unknown
Page : 422 pages
File Size : 45,5 Mb
Release : 2012
Category : Electronic
ISBN : OCLC:1151052331

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Complete Analytics with IBM DB2 Query Management Facility by Kristi Ramey,Mike Biere,Peter Richardson,Shawn Sullivan,Jeremy Weatherall Pdf

There is enormous pressure today for businesses across all industries to cut costs, enhance business performance, and deliver greater value with fewer resources. To take business analytics to the next level and drive tangible improvements to the bottom line, it is important to manage not only the volume of data, but the speed with which actionable findings can be drawn from a wide variety of disparate sources. The findings must be easily communicated to those responsible for making both strategic and tactical decisions. At the same time, strained IT budgets require that the solution be self-service for everyone from DBAs to business users, and easily deployed to thin, browser-based clients. Business analytics hosted in the Query Management FacilityTM (QMFTM) on DB2® and System z® allow you to tackle these challenges in a practical way, using new features and functions that are easily deployed across the enterprise and easily consumed by business users who do not have prior IT experience. This IBM® Redbooks® publication provides step-by-step instructions on using these new features: Access to data that resides in any JDBC-compliant data source OLAP access through XMLA 150+ new analytical functions Graphical query interfaces and graphical reports Graphical, interactive dashboards Ability to integrate QMF functions with third-party applications Support for the IBM DB2 Analytics Accelerator A new QMF Classic perspective in QMF for Workstation Ability to start QMF for TSO as a DB2 for z/OS stored procedure New metadata capabilities, including ER diagrams and capability to federate data into a single virtual source.

Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z/OS

Ute Baumbach,Patric Becker,Uwe Denneler,Eberhard Hechler,Wolfgang Hengstler,Steffen Knoll,Frank Neumann,Guenter Georg Schoellmann,Khadija Souissi,Timm Zimmermann,IBM Redbooks
Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z OS Book PDF

Author : Ute Baumbach,Patric Becker,Uwe Denneler,Eberhard Hechler,Wolfgang Hengstler,Steffen Knoll,Frank Neumann,Guenter Georg Schoellmann,Khadija Souissi,Timm Zimmermann,IBM Redbooks
Publisher : IBM Redbooks
Page : 216 pages
File Size : 44,5 Mb
Release : 2015-12-11
Category : Computers
ISBN : 9780738441191

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Accelerating Data Transformation with IBM DB2 Analytics Accelerator for z/OS by Ute Baumbach,Patric Becker,Uwe Denneler,Eberhard Hechler,Wolfgang Hengstler,Steffen Knoll,Frank Neumann,Guenter Georg Schoellmann,Khadija Souissi,Timm Zimmermann,IBM Redbooks Pdf

Transforming data from operational data models to purpose-oriented data structures has been commonplace for the last decades. Data transformations are heavily used in all types of industries to provide information to various users at different levels. Depending on individual needs, the transformed data is stored in various different systems. Sending operational data to other systems for further processing is then required, and introduces much complexity to an existing information technology (IT) infrastructure. Although maintenance of additional hardware and software is one component, potential inconsistencies and individually managed refresh cycles are others. For decades, there was no simple and efficient way to perform data transformations on the source system of operational data. With IBM® DB2® Analytics Accelerator, DB2 for z/OS is now in a unique position to complete these transformations in an efficient and well-performing way. DB2 for z/OS completes these while connecting to the same platform as for operational transactions, helping you to minimize your efforts to manage existing IT infrastructure. Real-time analytics on incoming operational transactions is another demand. Creating a comprehensive scoring model to detect specific patterns inside your data can easily require multiple iterations and multiple hours to complete. By enabling a first set of analytical functionality in DB2 Analytics Accelerator, those dedicated mining algorithms can now be run on an accelerator to efficiently perform these modeling tasks. Given the speed of query processing on an accelerator, these modeling tasks can now be performed much quicker compared to traditional relational database management systems. This speed enables you to keep your scoring algorithms more up-to-date, and ultimately adapt more quickly to constantly changing customer behaviors. This IBM Redbooks® publication describes the new table type that is introduced with DB2 Analytics Accelerator V4.1 PTF5 that enables more efficient data transformations. These tables are called accelerator-only tables, and can exist on an accelerator only. The tables benefit from the accelerator performance characteristics, while maintaining access through existing DB2 for z/OS application programming interfaces (APIs). Additionally, we describe the newly introduced analytical capabilities with DB2 Analytics Accelerator V5.1, putting you in the position to efficiently perform data modeling for online analytical requirements in your DB2 for z/OS environment. This book is intended for technical decision-makers who want to get a broad understanding about the analytical capabilities and accelerator-only tables of DB2 Analytics Accelerator. In addition, you learn about how these capabilities can be used to accelerate in-database transformations and in-database analytics in various environments and scenarios, including the following scenarios: Multi-step processing and reporting in IBM DB2 Query Management FacilityTM, IBM Campaign, or Microstrategy environments In-database transformations using IBM InfoSphere® DataStage® Ad hoc data analysis for data scientists In-database analytics using IBM SPSS® Modeler

Optimizing DB2 Queries with IBM DB2 Analytics Accelerator for z/OS

Paolo Bruni,Patric Becker,Willie Favero,Ravikumar Kalyanasundaram,Andrew Keenan,Steffen Knoll,Nin Lei,Cristian Molaro,P S Prem,IBM Redbooks
Optimizing DB2 Queries with IBM DB2 Analytics Accelerator for z OS Book PDF

Author : Paolo Bruni,Patric Becker,Willie Favero,Ravikumar Kalyanasundaram,Andrew Keenan,Steffen Knoll,Nin Lei,Cristian Molaro,P S Prem,IBM Redbooks
Publisher : IBM Redbooks
Page : 454 pages
File Size : 55,5 Mb
Release : 2012-12-20
Category : Computers
ISBN : 9780738437095

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Optimizing DB2 Queries with IBM DB2 Analytics Accelerator for z/OS by Paolo Bruni,Patric Becker,Willie Favero,Ravikumar Kalyanasundaram,Andrew Keenan,Steffen Knoll,Nin Lei,Cristian Molaro,P S Prem,IBM Redbooks Pdf

The IBM® DB2® Analytics Accelerator Version 2.1 for IBM z/OS® (also called DB2 Analytics Accelerator or Query Accelerator in this book and in DB2 for z/OS documentation) is a marriage of the IBM System z® Quality of Service and Netezza® technology to accelerate complex queries in a DB2 for z/OS highly secure and available environment. Superior performance and scalability with rapid appliance deployment provide an ideal solution for complex analysis. This IBM Redbooks® publication provides technical decision-makers with a broad understanding of the IBM DB2 Analytics Accelerator architecture and its exploitation by documenting the steps for the installation of this solution in an existing DB2 10 for z/OS environment. In this book we define a business analytics scenario, evaluate the potential benefits of the DB2 Analytics Accelerator appliance, describe the installation and integration steps with the DB2 environment, evaluate performance, and show the advantages to existing business intelligence processes.

In-Place Analytics with Live Enterprise Data with IBM DB2 Query Management Facility

Doug Anderson,Mike Biere,Linus Olson,Shawn Sullivan,IBM Redbooks
In Place Analytics with Live Enterprise Data with IBM DB2 Query Management Facility Book PDF

Author : Doug Anderson,Mike Biere,Linus Olson,Shawn Sullivan,IBM Redbooks
Publisher : IBM Redbooks
Page : 210 pages
File Size : 47,6 Mb
Release : 2016-10-21
Category : Computers
ISBN : 9780738442044

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In-Place Analytics with Live Enterprise Data with IBM DB2 Query Management Facility by Doug Anderson,Mike Biere,Linus Olson,Shawn Sullivan,IBM Redbooks Pdf

IBM® DB2® Query Management FacilityTM for z/OS® provides a zero-footprint, mobile-enabled, highly secure business analytics solution. IBM QMFTM V11.2.1 offers many significant new features and functions in keeping with the ongoing effort to broaden its usage and value to a wider set of users and business areas. In this IBM Redbooks® publication, we explore several of the new features and options that are available within this new release. This publication introduces TSO enhancements for QMF Analytics for TSO and QMF Enhanced Editor. A chapter describes how the QMF Data Service component connects to multiple mainframe data sources to accomplish the consolidation and delivery of data. This publication describes how self-service business intelligence can be achieved by using QMF Vision to enable self-service dashboards and data exploration. A chapter is dedicated to JavaScript support, demonstrating how application developers can use JavaScript to extend the capabilities of QMF. Additionally, this book describes methods to take advantage of caching for reduced CPU consumption, wider access to information, and faster performance. This publication is of interest to anyone who wants to better understand how QMF can enable in-place analytics with live enterprise data.

In-Place Analytics with Live Enterprise Data with IBM DB2 Query Management Facility

Doug Anderson,Mike Biere,Linus Olson,Shawn Sullivan
In Place Analytics with Live Enterprise Data with IBM DB2 Query Management Facility Book PDF

Author : Doug Anderson,Mike Biere,Linus Olson,Shawn Sullivan
Publisher : Unknown
Page : 210 pages
File Size : 51,7 Mb
Release : 2016
Category : Data mining
ISBN : OCLC:1105803117

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In-Place Analytics with Live Enterprise Data with IBM DB2 Query Management Facility by Doug Anderson,Mike Biere,Linus Olson,Shawn Sullivan Pdf

IBM® DB2® Query Management Facility for z/OS® provides a zero-footprint, mobile-enabled, highly secure business analytics solution. IBM QMF V11.2.1 offers many significant new features and functions in keeping with the ongoing effort to broaden its usage and value to a wider set of users and business areas. In this IBM Redbooks® publication, we explore several of the new features and options that are available within this new release. This publication introduces TSO enhancements for QMF Analytics for TSO and QMF Enhanced Editor. A chapter describes how the QMF Data Service component connects to multiple mainframe data sources to accomplish the consolidation and delivery of data. This publication describes how self-service business intelligence can be achieved by using QMF Vision to enable self-service dashboards and data exploration. A chapter is dedicated to JavaScript support, demonstrating how application developers can use JavaScript to extend the capabilities of QMF. Additionally, this book describes methods to take advantage of caching for reduced CPU consumption, wider access to information, and faster performance. This publication is of interest to anyone who wants to better understand how QMF can enable in-place analytics with live enterprise data.

Managing Ever-Increasing Amounts of Data with IBM DB2 for z/OS: Using Temporal Data Management, Archive Transparency, and the DB2 Analytics Accelerator

Mehmet Cuneyt Goksu,Claire McFeely,Craig McKellar,Xiao Hui Wang,IBM Redbooks
Managing Ever Increasing Amounts of Data with IBM DB2 for z OS Using Temporal Data Management Archive Transparency and the DB2 Analytics Accelerator Book PDF

Author : Mehmet Cuneyt Goksu,Claire McFeely,Craig McKellar,Xiao Hui Wang,IBM Redbooks
Publisher : IBM Redbooks
Page : 204 pages
File Size : 43,7 Mb
Release : 2015-10-20
Category : Computers
ISBN : 9780738440965

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Managing Ever-Increasing Amounts of Data with IBM DB2 for z/OS: Using Temporal Data Management, Archive Transparency, and the DB2 Analytics Accelerator by Mehmet Cuneyt Goksu,Claire McFeely,Craig McKellar,Xiao Hui Wang,IBM Redbooks Pdf

IBM® DB2® Version 11.1 for z/OS® (DB2 11 for z/OS or just DB2 11 throughout this book) is the fifteenth release of DB2 for IBM MVSTM. The DB2 11 environment is available either for new installations of DB2 or for migrations from DB2 10 for z/OS subsystems only. This IBM Redbooks® publication describes enhancements that are available with DB2 11 for z/OS. The contents help database administrators to understand the new extensions and performance enhancements, to plan for ways to use the key new capabilities, and to justify the investment in installing or migrating to DB2 11. Businesses are faced with a global and increasingly competitive business environment, and they need to collect and analyze ever increasing amounts of data (Figure 1). Governments also need to collect and analyze large amounts of data. The main focus of this book is to introduce recent DB2 capability that can be used to address challenges facing organizations with storing and analyzing exploding amounts of business or organizational data, while managing risk and trying to meet new regulatory and compliance requirements. This book describes recent extensions to DB2 for z/OS in V10 and V11 that can help organizations address these challenges.

Architecting and Deploying DB2 with BLU Acceleration

Whei-Jen Chen,Brigitte Blaser,Marco Bonezzi,Polly Lau,Jean Cristie Pacanaro,Martin Schlegel,Ayesha Zaka,Alexander Zietlow,IBM Redbooks
Architecting and Deploying DB2 with BLU Acceleration Book PDF

Author : Whei-Jen Chen,Brigitte Blaser,Marco Bonezzi,Polly Lau,Jean Cristie Pacanaro,Martin Schlegel,Ayesha Zaka,Alexander Zietlow,IBM Redbooks
Publisher : IBM Redbooks
Page : 446 pages
File Size : 52,6 Mb
Release : 2015-05-11
Category : Computers
ISBN : 9780738440125

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Architecting and Deploying DB2 with BLU Acceleration by Whei-Jen Chen,Brigitte Blaser,Marco Bonezzi,Polly Lau,Jean Cristie Pacanaro,Martin Schlegel,Ayesha Zaka,Alexander Zietlow,IBM Redbooks Pdf

IBM® DB2® with BLU Acceleration is a revolutionary technology that is delivered in DB2 for Linux, UNIX, and Windows Release 10.5. BLU Acceleration delivers breakthrough performance improvements for analytic queries by using dynamic in-memory columnar technologies. Different from other vendor solutions, BLU Acceleration allows the unified computing of OLTP and analytics data inside a single database, therefore, removing barriers and accelerating results for users. With observed hundredfold improvement in query response time, BLU Acceleration provides a simple, fast, and easy-to-use solution for the needs of today's organizations; quick access to business answers can be used to gain a competitive edge, lower costs, and more. This IBM Redbooks® publication introduces the concepts of DB2 with BLU Acceleration. It discusses the steps to move from a relational database to using BLU Acceleration, optimizing BLU usage, and deploying BLU into existing analytic solutions today, with an example of IBM Cognos®. This book also describes integration of DB2 with BLU Acceleration into SAP Business Warehouse (SAP BW) and SAP's near-line storage solution on DB2. This publication is intended to be helpful to a wide-ranging audience, including those readers who want to understand the technologies and those who have planning, deployment, and support responsibilities.

Enabling Real-time Analytics on IBM z Systems Platform

Lydia Parziale,Oliver Benke,Willie Favero,Ravi Kumar,Steven LaFalce,Cedrine Madera,Sebastian Muszytowski,IBM Redbooks
Enabling Real time Analytics on IBM z Systems Platform Book PDF

Author : Lydia Parziale,Oliver Benke,Willie Favero,Ravi Kumar,Steven LaFalce,Cedrine Madera,Sebastian Muszytowski,IBM Redbooks
Publisher : IBM Redbooks
Page : 214 pages
File Size : 43,9 Mb
Release : 2016-08-08
Category : Computers
ISBN : 9780738441863

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Enabling Real-time Analytics on IBM z Systems Platform by Lydia Parziale,Oliver Benke,Willie Favero,Ravi Kumar,Steven LaFalce,Cedrine Madera,Sebastian Muszytowski,IBM Redbooks Pdf

Regarding online transaction processing (OLTP) workloads, IBM® z SystemsTM platform, with IBM DB2®, data sharing, Workload Manager (WLM), geoplex, and other high-end features, is the widely acknowledged leader. Most customers now integrate business analytics with OLTP by running, for example, scoring functions from transactional context for real-time analytics or by applying machine-learning algorithms on enterprise data that is kept on the mainframe. As a result, IBM adds investment so clients can keep the complete lifecycle for data analysis, modeling, and scoring on z Systems control in a cost-efficient way, keeping the qualities of services in availability, security, reliability that z Systems solutions offer. Because of the changed architecture and tighter integration, IBM has shown, in a customer proof-of-concept, that a particular client was able to achieve an orders-of-magnitude improvement in performance, allowing that client's data scientist to investigate the data in a more interactive process. Open technologies, such as Predictive Model Markup Language (PMML) can help customers update single components instead of being forced to replace everything at once. As a result, you have the possibility to combine your preferred tool for model generation (such as SAS Enterprise Miner or IBM SPSS® Modeler) with a different technology for model scoring (such as Zementis, a company focused on PMML scoring). IBM SPSS Modeler is a leading data mining workbench that can apply various algorithms in data preparation, cleansing, statistics, visualization, machine learning, and predictive analytics. It has over 20 years of experience and continued development, and is integrated with z Systems. With IBM DB2 Analytics Accelerator 5.1 and SPSS Modeler 17.1, the possibility exists to do the complete predictive model creation including data transformation within DB2 Analytics Accelerator. So, instead of moving the data to a distributed environment, algorithms can be pushed to the data, using cost-efficient DB2 Accelerator for the required resource-intensive operations. This IBM Redbooks® publication explains the overall z Systems architecture, how the components can be installed and customized, how the new IBM DB2 Analytics Accelerator loader can help efficient data loading for z Systems data and external data, how in-database transformation, in-database modeling, and in-transactional real-time scoring can be used, and what other related technologies are available. This book is intended for technical specialists and architects, and data scientists who want to use the technology on the z Systems platform. Most of the technologies described in this book require IBM DB2 for z/OS®. For acceleration of the data investigation, data transformation, and data modeling process, DB2 Analytics Accelerator is required. Most value can be achieved if most of the data already resides on z Systems platforms, although adding external data (like from social sources) poses no problem at all.

IBM Db2 Analytics Accelerator V7 High Availability and Disaster Recovery

Ute Baumbach,Frank Neumann,IBM Redbooks
IBM Db2 Analytics Accelerator V7 High Availability and Disaster Recovery Book PDF

Author : Ute Baumbach,Frank Neumann,IBM Redbooks
Publisher : IBM Redbooks
Page : 78 pages
File Size : 41,7 Mb
Release : 2020-10-21
Category : Computers
ISBN : 9780738457680

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IBM Db2 Analytics Accelerator V7 High Availability and Disaster Recovery by Ute Baumbach,Frank Neumann,IBM Redbooks Pdf

IBM® Db2® Analytics Accelerator is a workload optimized appliance add-on to IBM DB2® for IBM z/OS® that enables the integration of analytic insights into operational processes to drive business critical analytics and exceptional business value. Together, the Db2 Analytics Accelerator and DB2 for z/OS form an integrated hybrid environment that can run transaction processing, complex analytical, and reporting workloads concurrently and efficiently. With IBM DB2 Analytics Accelerator for z/OS V7, the following flexible deployment options are introduced: Accelerator on IBM Integrated Analytics System (IIAS): Deployment on pre-configured hardware and software Accelerator on IBM Z®: Deployment within an IBM Secure Service Container LPAR For using the accelerator for business-critical environments, the need arose to integrate the accelerator into High Availability (HA) architectures and Disaster Recovery (DR) processes. This IBM RedpaperTM publication focuses on different integration aspects of both deployment options of the IBM Db2 Analytics Accelerator into HA and DR environments. It also shares best practices to provide wanted Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO). HA systems often are a requirement in business-critical environments and can be implemented by redundant, independent components. A failure of one of these components is detected automatically and their tasks are taken over by another component. Depending on business requirements, a system can be implemented in a way that users do not notice outages (continuous availability), or in a major disaster, users notice an outage and systems resume services after a defined period, potentially with loss of data from previous work. IBM Z was strong for decades regarding HA and DR. By design, storage and operating systems are implemented in a way to support enhanced availability requirements. IBM Parallel Sysplex® and IBM Globally Dispersed Parallel Sysplex (IBM GDPS®) offer a unique architecture to support various degrees of automated failover and availability concepts. This IBM Redpaper publication shows how IBM Db2 Analytics Accelerator V7 can easily integrate into or complement existing IBM Z topologies for HA and DR. If you are using IBM Db2 Analytics Accelerator V5.1 or lower, see IBM Db2 Analytics Accelerator: High Availability and Disaster Recovery, REDP-5104.

IBM DB2 Web Query for i: The Nuts and Bolts

Hernando Bedoya,Jim Bainbridge,Rob Bestgen,Mike Cain,Doug Mack,Simona Pacchiarini,Kathryn Steinbrink,Lin Lin Su,Kevin Trisko,IBM Redbooks
IBM DB2 Web Query for i The Nuts and Bolts Book PDF

Author : Hernando Bedoya,Jim Bainbridge,Rob Bestgen,Mike Cain,Doug Mack,Simona Pacchiarini,Kathryn Steinbrink,Lin Lin Su,Kevin Trisko,IBM Redbooks
Publisher : IBM Redbooks
Page : 228 pages
File Size : 49,5 Mb
Release : 2017-05-11
Category : Computers
ISBN : 9780738442488

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IBM DB2 Web Query for i: The Nuts and Bolts by Hernando Bedoya,Jim Bainbridge,Rob Bestgen,Mike Cain,Doug Mack,Simona Pacchiarini,Kathryn Steinbrink,Lin Lin Su,Kevin Trisko,IBM Redbooks Pdf

Business Intelligence (BI) is a broad term that relates to applications that analyze data to understand and act on the key metrics that drive profitability in an enterprise. Key to analyzing that data is providing fast, easy access to it while delivering it in formats or tools that best fit the needs of the user. At the core of any BI solution are user query and reporting tools that provide intuitive access to data supporting a spectrum of users from executives to "power users," from spreadsheet aficionados to the external Internet consumer. IBM® DB2® Web Query for i offers a set of modernized tools for a more robust, extensible, and productive reporting solution than the popular IBM Query for System i® tool (also known as IBM Query/400). IBM DB2 Web Query for i preserves investments in the reports that are developed with Query/400 by offering a choice of importing definitions into the new technology or continuing to run existing Query/400 reports as is. But, it also offers significant productivity and performance enhancements by leveraging the latest in DB2 for i query optimization technology. The DB2 Web Query for i product is a web-based query and report writing product that offers enhanced capabilities over the IBM Query for iSeries product (also commonly known as Query/400). IBM DB2 Web Query for i includes Query for iSeries technology to assist customers in their transition to DB2 Web Query. It offers a more modernized, Java based solution for a more robust, extensible, and productive reporting solution. DB2 Web Query provides the ability to query or build reports against data that is stored in DB2 for i (or Microsoft SQL Server) databases through browser-based user interface technologies: Build reports with ease through the web-based, ribbon-like InfoAssist tool that leverages a common look and feel that can extend the number of personnel that can generate their own reports. Simplify the management of reports by significantly reducing the number of report definitions that are required through the use of parameter driven reports. Deliver data to users in many different formats, including directly into spreadsheets, or in boardroom-quality PDF format, or viewed from the browser in HTML. Leverage advanced reporting functions, such as matrix reporting, ranking, color coding, drill-down, and font customization to enhance the visualization of DB2 data. DB2 Web Query offers features to import Query/400 definitions and enhance their look and functions. By using it, you can add OLAP-like slicing and dicing to the reports or view reports in disconnected mode for users on the go. This IBM Redbooks® publication provides a broad understanding of what can be done with the DB2 Web Query product. This publication is a companion of DB2 Web Query Tutorials, SG24-8378, which has a group of self-explanatory tutorials to help you get up to speed quickly.

IBM Smart Analytics System

Whei-Jen Chen,Rafael Aielo,Silvio Luiz Correia Ferrari,Zohar Nissare-Houssen,IBM Redbooks
IBM Smart Analytics System Book PDF

Author : Whei-Jen Chen,Rafael Aielo,Silvio Luiz Correia Ferrari,Zohar Nissare-Houssen,IBM Redbooks
Publisher : IBM Redbooks
Page : 346 pages
File Size : 55,9 Mb
Release : 2011-08-24
Category : Computers
ISBN : 9780738435176

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IBM Smart Analytics System by Whei-Jen Chen,Rafael Aielo,Silvio Luiz Correia Ferrari,Zohar Nissare-Houssen,IBM Redbooks Pdf

The IBM® Smart Analytics System is a fully-integrated and scalable data warehouse solution that combines software, server, and storage resources to offer optimal business intelligence and information management performance for enterprises. This IBM Redbooks® publication introduces the architecture and components of the IBM Smart Analytics System family. We describe the installation and configuration of the IBM Smart Analytics System and show how to manage the systems effectively to deliver an enterprise class service. This book explains the importance of integrating the IBM Smart Analytics System with the existing IT environment, as well as how to leverage investments in security, monitoring, and backup infrastructure. We discuss the monitoring tools for both operating systems and DB2®. Advance configuration, performance troubleshooting, and tuning techniques are also discussed. This book is targeted at the architects and specialists who need to know the concepts and the detailed instructions for a successful Smart Analytics System implementation and operation.

Building the Data Warehouse

W. H. Inmon
Building the Data Warehouse Book PDF

Author : W. H. Inmon
Publisher : John Wiley & Sons
Page : 434 pages
File Size : 40,8 Mb
Release : 2002-10-01
Category : Computers
ISBN : 9780471270485

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Building the Data Warehouse by W. H. Inmon Pdf

The data warehousing bible updated for the new millennium Updated and expanded to reflect the many technological advances occurring since the previous edition, this latest edition of the data warehousing "bible" provides a comprehensive introduction to building data marts, operational data stores, the Corporate Information Factory, exploration warehouses, and Web-enabled warehouses. Written by the father of the data warehouse concept, the book also reviews the unique requirements for supporting e-business and explores various ways in which the traditional data warehouse can be integrated with new technologies to provide enhanced customer service, sales, and support-both online and offline-including near-line data storage techniques.

Hybrid Analytics Solution using IBM DB2 Analytics Accelerator for z/OS V3.1

Paolo Bruni,Willie Favero,James Guo,Ravikumar Kalyanasundaram,Ruiping Li,Cristian Molaro,Andy Perkins,Theresa Tai,Dino Tonelli,IBM Redbooks
Hybrid Analytics Solution using IBM DB2 Analytics Accelerator for z OS V3 1 Book PDF

Author : Paolo Bruni,Willie Favero,James Guo,Ravikumar Kalyanasundaram,Ruiping Li,Cristian Molaro,Andy Perkins,Theresa Tai,Dino Tonelli,IBM Redbooks
Publisher : IBM Redbooks
Page : 382 pages
File Size : 53,9 Mb
Release : 2013-09-27
Category : Computers
ISBN : 9780738438795

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Hybrid Analytics Solution using IBM DB2 Analytics Accelerator for z/OS V3.1 by Paolo Bruni,Willie Favero,James Guo,Ravikumar Kalyanasundaram,Ruiping Li,Cristian Molaro,Andy Perkins,Theresa Tai,Dino Tonelli,IBM Redbooks Pdf

The IBM® DB2® Analytics Accelerator Version 3.1 for IBM z/OS® (simply called Accelerator in this book) is a union of the IBM System z® quality of service and IBM Netezza® technology to accelerate complex queries in a DB2 for z/OS highly secure and available environment. Superior performance and scalability with rapid appliance deployment provide an ideal solution for complex analysis. In this IBM Redbooks® publication, we provide technical decision-makers with a broad understanding of the benefits of Version 3.1 of the Accelerator's major new functions. We describe their installation and the advantages to existing analytical processes as measured in our test environment. We also describe the IBM zEnterprise® Analytics System 9700, a hybrid System z solution offering that is surrounded by a complete set of optional packs to enable customers to custom tailor the system to their unique needs..

Getting Started: Journey to Modernization with IBM Z

Makenzie Manna,Ravinder Akula,Matthew Cousens,Pabitra Mukhopadhyay,Anand Shukla,IBM Redbooks
Getting Started Journey to Modernization with IBM Z Book PDF

Author : Makenzie Manna,Ravinder Akula,Matthew Cousens,Pabitra Mukhopadhyay,Anand Shukla,IBM Redbooks
Publisher : IBM Redbooks
Page : 90 pages
File Size : 48,6 Mb
Release : 2021-03-15
Category : Computers
ISBN : 9780738459530

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Getting Started: Journey to Modernization with IBM Z by Makenzie Manna,Ravinder Akula,Matthew Cousens,Pabitra Mukhopadhyay,Anand Shukla,IBM Redbooks Pdf

Modernization of enterprise IT applications and infrastructure is key to the survival of organizations. It is no longer a matter of choice. The cost of missing out on business opportunities in an intensely competitive market can be enormous. To aid in their success, organizations are facing increased encouragement to embrace change. They are pushed to think of new and innovative ways to counter, or offer, a response to threats that are posed by competitors who are equally as aggressive in adopting newer methods and technologies. The term modernization often varies in meaning based on perspective. This IBM® Redbooks® publication focuses on the technological advancements that unlock computing environments that are hosted on IBM Z® to enable secure processing at the core of hybrid. This publication is intended for IT executives, IT managers, IT architects, System Programmers, and Application Developer professionals.