Features

Features

• What you should know about Collibra Data Governance Center

  Collibra Data Governance Center is a repository- and workflow-oriented data governance platform that also offers features for data management and data stewardship.  Continue Reading

• How to narrow down your choices for buying a data governance tool

  Evaluating and selecting a data governance tool depends on not only features and functionality, but also how you will use the tool to add value to your organization.  Continue Reading

• Exploring the features of Oracle Enterprise Manager 13c

  Cloud Control, a feature of Oracle Enterprise Manager 13c, can be used to monitor and manage databases, middleware, infrastructure and hardware running on-premises or in the cloud.  Continue Reading

• Inside BMC's database performance tools for DB2 for z/OS

  BMC offers several tools to help DBAs manage and prevent critical performance issues in DB2 for z/OS, as well as monitoring options for other vital mainframe subsystems.  Continue Reading

• Inside the SAP Data Services data integration tool

  SAP Data Services can be used alone or with other SAP products to provide data integration, transformation, data quality, data profiling and text data processing.  Continue Reading

• An overview of the Pentaho Data Integration platform

  The Pentaho Data Integration platform enables organizations to integrate, blend, convert and transform data from any data source across their entire enterprise.  Continue Reading

• Examining the functions and features of database performance tools

  To help you determine which tools your organization needs, it's important to review the primary features and functionality of the three database performance tools categories.  Continue Reading

• Three indicators that could signal database performance issues

  Database performance monitoring and management tools can be used to mitigate issues and help organizations be more proactive, so they can avoid performance problems and outages.  Continue Reading

• What you need to know about Oracle Data Integrator 12c

  Oracle Data Integrator 12c works with several other Oracle products to leverage the capabilities of RDBMSs for processing and transforming data.  Continue Reading

• What you need to know about database performance software

  Database performance software identifies bottlenecks and points of contention, monitors workload and throughput, and manages system and DBMS resource usage.  Continue Reading

• Inside the MapR Hadoop distribution for managing big data

  The MapR Hadoop distribution replaces HDFS with its proprietary file system, MapR-FS, which is designed to provide more efficient management of data, reliability and ease of use.  Continue Reading

• What to know about the IBM Information Governance Catalog

  IBM's Information Governance Catalog provides organizations with a workflow-oriented data governance tool for organizing, managing and accessing their data assets.  Continue Reading

• Five factors to help select the right data warehouse product

  How big is your company, and what resources does it have? What are your performance needs? Answering these questions and others can help you select the right data warehouse platform.  Continue Reading

• A look inside the SAP IQ column-oriented database

  The SAP IQ column-oriented database is designed for large data warehouses that require high scalability, rapid data loading and optimal query performance.  Continue Reading

• Examining the Teradata Data Warehouse

  With both relational and columnar options, the Teradata Active Enterprise Data Warehouse gives companies an efficient, scalable appliance they can deploy in-house or in the cloud.  Continue Reading

• Evaluating the key features of data warehouse platforms

  Choosing between the different types of data warehouse platforms can be simplified once you know which deployment option best meets your project requirements.  Continue Reading

• What to expect from Oracle Exadata Database Machine

  Oracle Exadata Database Machine combines hardware and software to enable analytics, batch, reporting and other tasks to run simultaneously within and across databases.  Continue Reading

• Examining the IBM PureData System for Analytics appliance

  Powered by Netezza technology, the IBM PureData System for Analytics data warehouse appliance enables users to execute complex queries and get results quickly.  Continue Reading

• A look at SAP BusinessObjects BI suite

  SAP BusinessObjects BI platform provides users with self-service access to information to support the decision-making process. Find out what's different in version 4.1.  Continue Reading

• Exploring Microsoft Power BI SaaS analytics products

  Microsoft Power BI SaaS analytics lets users view their most critical data via a live dashboard, create interactive reports and access their data on the go.  Continue Reading

• The benefits of deploying a data warehouse platform

  Big data may be all the rage, but data warehouse platforms are still being utilized by companies of all sizes. Expert Craig S. Mullins takes a look at the technology.  Continue Reading

• How to choose the right snapshot method

  Snapshots and replication have become data protection tools of choice, but finding the right snapshot method for your data center can be challenging.  Continue Reading

• Three ways to build a big data system

  In a book excerpt, author Dale Neef outlines and compares different approaches organizations can take when trying to bring a big data system into their IT environments.  Continue Reading

• Location-tracking system improves business efficiency

  For organizations in industries such as healthcare and trucking, analyzing data on the location and movements of employees is helping to streamline operations.  Continue Reading

• Types of NoSQL databases and key criteria for choosing them

  In a book excerpt, consultant Dan Sullivan offers insights into how to select the right type of NoSQL database for the right application in your organization.  Continue Reading

• How to identify master data in a multi-domain MDM program

  In an excerpt from their book on managing multi-domain master data management programs, Mark Allen and Dalton Cervo explain how to identify MDM domains and your master data.  Continue Reading

• SAP HANA in-memory DBMS overview

  SAP HANA is an in-memory DBMS and application platform designed to handle high transaction rates and complex queries using one data copy.  Continue Reading

• Redis open source DBMS overview

  The Redis open source DBMS provides a highly scalable data store that can be shared by multiple processes, applications or servers.  Continue Reading

• MySQL open source RDBMS overview

  Developers, database administrators and DevOps teams use MySQL open source RDBMS to more easily operate next-generation applications in the cloud.  Continue Reading

• Which in-memory DBMS best fits your company's needs?

  Database expert Craig S. Mullins examines some top in-memory DBMS software offerings to help you determine which is the best fit for your organization.  Continue Reading

• Oracle Database 12c relational database management system overview

  Oracle Database 12c delivers strong performance for mission-critical workloads, with features and functionality for diverse processing needs and requirements.  Continue Reading

• Which relational DBMS is best for your company?

  Database expert Craig S. Mullins examines the top relational database management system software to determine which best fits your organization.  Continue Reading

• How to determine if an in-memory DBMS is right for your company

  Database expert Craig S. Mullins examines the pros and cons of the in-memory database management system, and the criteria you should consider during the request-for-proposal and evaluation period.  Continue Reading

• Key considerations for determining if a NoSQL DBMS meets your IT needs

  NoSQL represents the fastest-growing type of DBMS being adopted today. Is it right for you?  Continue Reading

• Use of analytics in sports media becomes contentious

  Analytics are gaining a high profile in sports media, but some fans and commentators say the stats just aren't what they're looking for.  Continue Reading

• Key criteria for deciding if a relational DBMS meets your IT needs

  For many organizations, a relational database management system will get the job done; others need to keep looking to fulfill their needs.  Continue Reading

• Customer analysis a winning play for 'Candy Crush Saga' maker

  King Digital Entertainment was losing players of "Candy Crush Saga" at an early stage in the online game -- a problem it solved with help from a customer data analytics project.  Continue Reading

• Location-based analytics helps Wendy's find its way to new sites

  Most people remember geography class as a liberal arts concentration. But John Crouse of Wendy's is showing that geographic knowledge can make for a valuable pairing with statistical analysis as part of location intelligence efforts.  Continue Reading

• Conversation with Monash: On horses for courses and parallelism

  Data industry viewer Curt Monash discusses parallelism and more as new databases gain attention. Part 1 in a series.  Continue Reading

• Author: Data mining projects depend on excavating meaningful data

  In a Q&A, book author David Nettleton offers advice on avoiding data mining pitfalls and pinpointing valuable business data to mine and analyze.  Continue Reading

• Former shadow IT worker helps bring analytics data into the light

  Ryan Fenner worked in a shadow IT unit at Union Bank for years. Now he's helping lead an IT effort to better manage BI data created in those shadows.  Continue Reading

• Laws leave gray area between big data and privacy

  Laws on data collection and use remain foggy, leaving businesses to feel their way through big data and privacy laws.  Continue Reading

• Identifying data quality issues via data profiling, reasonability

  In a book excerpt, author Laura Sebastian-Coleman explores data profiling, data issue management and using reasonability checks in assessing quality.  Continue Reading

• Dissecting data measurement: Key metrics for assessing data quality

  In a book excerpt, data quality architect Laura Sebastian-Coleman explains data assessment terminology and details a framework for measuring quality.  Continue Reading

• 10 mistakes to avoid in your disaster recovery planning process

  Don't make your DR planning process harder than it is by trying to do too much or cutting corners. Careful planning is key to a successful recovery.  Continue Reading

• Kaiser Permanente VP prescribes bigger role for healthcare data analytics

  Terhilda Garrido is at the head of a heightened effort by health system Kaiser Permanente to use analytics to improve its patient care delivery.  Continue Reading

• Modern backup alternatives

  With more data to protect, weekly fulls and nightly incrementals may not be enough. It's time to look at alternatives to traditional backup processes.  Continue Reading

• Big data, fast: Avoiding Hadoop performance bottlenecks

  A variety of performance issues can bog down Hadoop clusters. But there are ways to sidestep the pitfalls and keep your big data environment humming.  Continue Reading

• Big data adds new complications for data stewards

  In order to accommodate big data and the needs of data scientists, data stewards will need to adjust to a more short-term view of data stewardship.  Continue Reading

• Gartner describes the building blocks for a strong MDM program

  MDM teams should consider these seven building blocks, outlined by Saul Judah, research director on the information management team at Gartner Inc.  Continue Reading

• Enterprise data quality efforts in good company with MDM, governance

  Combining data quality initiatives with master data management and data governance programs can help ensure that data remains accurate and consistent.  Continue Reading

• Successful data stewardship framework needs solid plan, firm focus

  Stewarding data can be a tough nut to crack: lots of effort for a reward that isn't always apparent. To succeed, strong project management is needed.  Continue Reading

• Data stewardship program: Quality booster, but a hard step for many

  While data stewardship can help improve the quality of corporate data, analysts say there's more talk than action when it comes to adopting the concept.  Continue Reading

• Make communication, purpose priorities in a data governance program

  Data governance can be all bureaucracy and no benefit. To avoid that, managing the process effectively is a must, says consultant Danette McGilvray.  Continue Reading

• Mission impossible? Data governance process takes on 'big data'

  Effective governance can help companies get the most out of their "big data" environments. But at this point, there's no formula for how to do that.  Continue Reading

• Five first steps to creating an effective 'big data' analytics program

  Choosing the right technology is only half the startup battle on "big data" analytics. Get a list of deployment tips from consultant Lyndsay Wise to help set your organization on the right path.  Continue Reading

• A must to avoid: Worst practices in enterprise data governance

  Consultant Rick Sherman details 10 common data governance mistakes that can send governance initiatives down the wrong path – the one to failure.  Continue Reading

• Disaster recovery in the cloud explained

  Discover whether or not disaster recovery in the cloud is a good choice for your organization, and the pros and cons of different cloud DR approaches.  Continue Reading

• High availability guidelines and VMware HA best practices

  Elias Khnaser discusses VMware High Availability best practices in this chapter excerpt. After you read the excerpt, download the full backup and high availability chapter.  Continue Reading

• Starting an Oracle virtualization project

  Contributor Frank Ohlhorst gives tips on how to start a server virtualization project in an Oracle shop.  Continue Reading

• Disaster recovery security: The importance of addressing data security issues in DR plans

  Data security issues have a constant presence in the IT industry and should be addressed in DR plans. It's not enough for storage managers to only cover basic security measures.  Continue Reading

• Choosing the best Oracle backup strategy for your environment

  Find out which Oracle backup strategy is right for you in this FAQ: user-managed backups, RMAN or import/export backups.  Continue Reading

• Oracle Professionals’ Challenges and Priorities Survey 2010

  Almost 450 Oracle professionals answered survey questions from SearchOracle.com this year on topics such as budget, database and application challenges, virtualization and support. Here are the results.  Continue Reading

• Solving common data deduplication system problems

  Still not getting the deduplication ratios vendors are promising? Learn about the most common problems with deduplication systems and how to fix them.  Continue Reading

• Common NAS backup challenges

  Curtis Preston discusses some of the most common challenges associated with NAS backups, the pros and cons of NDMP and other technologies that help simplify NAS backup in this Q&A.  Continue Reading

• Making business transaction processing and applications work

  Learn about making business transaction processing work in your company, find tips on transaction processing applications and get transaction processing definitions.  Continue Reading

• Key benchmarks for measuring transaction processing performance

  Find key benchmarks for measuring transaction processing performance at your company, and learn about XA two-phase commit and types of transaction processing.  Continue Reading

• Advantages and disadvantages of XML shredding

  Learn about the advantages and disadvantages of XML shredding and different shredding methods, plus find out when shredding is and isn't a good option for your company.  Continue Reading

• The importance and benefits of operational decision making

  In this section of 'Smart (Enough) System', you'll learn the importance of operational decisions and different strategies that influence decision making. You'll also read about key BI terms including business agility, strategic alignment and ...  Continue Reading

• An introduction to database transaction management

  Find out the performance advantages of using one connection for multiple statements in this database tutorial. Get a definition of local vs. distributed transactions and learn how to manage database transactions.  Continue Reading

• Executing SQL statements using prepared statements and statement pooling

  In this database tutorial, find out about executing SQL statements using prepared statements and statement pooling. Learn what a statement pool is and how to retrieve long data types efficiently.  Continue Reading

• Static SQL vs. dynamic SQL for database application performance

  Learn the difference between static SQL vs. dynamic SQL and the benefits and drawbacks of each for database application performance. Get a definition of stored procedure, find out about database drivers and wire protocol database drivers and how the...  Continue Reading

• File-level versus image-level data backup: Chapter excerpt from "VMware VI3 Implementation and Admin

  Learn about file-level backup versus image-level backup, and attaching tape drives to ESX hosts in our chapter excerpt from "VMware VI3 Implementation and Administration."  Continue Reading

• Top 13 master data management (MDM) buzzwords and definitions

  Get the top master data management (MDM) terms, definitions and concepts and learn how MDM can improve your enterprise data. Also get links to useful MDM tutorials, training, video, podcasts and articles.  Continue Reading

• Backing up your virtual environment

  Learn all about backing up your virtual environment, whether with traditional backup and backup scripts in this except of Eric Seibert's new book "VMware VI3 Implementation and Administration."  Continue Reading

• Similarities and differences between ROLAP, MOLAP and HOLAP

  Find out the differences between ROLP, MOLAP and HOLAP and their advantages and disadvantages. Learn about data quality and the evolution of data warehouse applications.  Continue Reading

• Data warehouse architectures, concepts and phases: What you need to know

  This tutorial explains the different types of data warehouse architecture including bus, federated and hub-and-spoke. Learn about ETL processes and data staging and data warehouse phases.  Continue Reading

• Advantages of the multidimensional database model and cube modeling

  Discover the advantages of the multidimensional database model and find out how data warehouse cube modeling, data restricting and data slicing work. Learn the role meta-data plays and get a definition of functional dependency.  Continue Reading

• Mobile data recovery services for disaster recovery FAQ

  Paul Kirvan discusses mobile recovery services for disaster recovery (DR) in this FAQ. Paul has more than 20 years experience in business continuity management as a consultant, author and educator. He is also secretary of the United States' chapter ...  Continue Reading

• Using bare-metal recovery to migrate physical machines to virtual machines with VMware

  Learn how to use the bare-metal recovery procedure to migrate physical machines into virtual machines in VMware.  Continue Reading

• The importance of managing data assets

  Get an overview of data management and data lifecycle, learn how important managing data and data assets is and learn how to control data in this information management tutorial.  Continue Reading

• Data modeling for the business: What is a data model?

  Learn about high-level data modeling, what a data model is and how business and IT can use logical data modeling to plan a data design with these best practices from a data modeling handbook and guide.  Continue Reading

• Simple data mining examples and datasets

  See data mining examples, including examples of data mining algorithms and simple datasets, that will help you learn how data mining works and how companies can make data-related decisions based on set rules.  Continue Reading

• What is a data rollup?

  Learn what a data rollup is and read about data rollup macro examples and case studies in this data mining tutorial from the book Data Mining: Know it All.  Continue Reading

• How to use SQL Developer to run SQL statements

  In this chapter, learn how to use SQL Developer to enter and execute SQL statements and scripts, work with a Snippets window, solve common syntax errors and more.  Continue Reading

• Designing an MDM project plan

  Master data management (MDM) projects require enterprise buy-in and participation in order to be successful. In this chapter, learn how to identify the people in the organization that can benefit from MDM and how to assemble an MDM project team. ...  Continue Reading

• Can you define failover and failback?

  Failover is the process of shifting I/O and its processes from a primary location to a secondary disaster recovery (DR) location. This typically involves using a vendor's tool or a third-party tool of some type that can temporarily halt I/O, and ...  Continue Reading

• What is server-free backup, and how does it work?

  Server-free backup is an umbrella term for two different kinds of backup. The general distinction is that it is backup that is going to be done outside of the server that is being backed up -- hence the name. Some of the methods for doing ...  Continue Reading

• IT project management: The cost estimating process

  Learn about the cost estimating process in IT project management by reading examples and definitions of cost estimation terms, in this free chapter download.  Continue Reading

• Personal information management: History and details

  Learn about personal information management and why managing personal information is especially important in today's data inundated world.  Continue Reading

• What is the difference between a traditional file-level backup and a virtual machine backup?

  Most traditional client/server architecture remains the same in the server virtualization environment where the client has an agent installed. However, this can become cumbersome. We still have to manage agents...  Continue Reading

• Successful business intelligence: The role of BI front-end tools

  Learn about the business intelligence front-end tools that are available to business users -- and how the right BI tool can lead to BI success.  Continue Reading

• Continuous integration: The value of CI

  Learn about the value of continuous integration and get reasons why continuous integration can benefit the enterprise in this free sample chapter download.  Continue Reading

• MDM-CDI project implementation guidelines

  This chapter excerpt deals with the practical aspects of implementing MDM-CDI solutions as complex, multidisciplinary, enterprise-wide projects or programs. Implementing MDM-CDI solutions requires an approach that may be even broader than a single ...  Continue Reading

• Data governance: Information ownership policies and roles explained

  Who owns the data? This chapter defines information ownership boundaries and best practices, and outlines the specific roles and responsibilities of all involved in the battle for data governance.  Continue Reading

• Types of DBAs

  DBAs can take on many different roles. This excerpt from the "Database administration: The complete guide to practices and procedures" takes a closer look at different types of DBAs.  Continue Reading