Data Management Learning Guides

We've gathered a collection of our learning guides and tutorials on data management. You'll find in depth information about data integrity, data quality, data protection and more. Then, read on for more resources.

Need some basic information before you get started? See our definitions for data, data quality and data management.

• Data Management -- Drowning in an ocean of data? Use this guide to learn the latest in data storage management strategies and tactics. Read more about data growth and provisioning, the concepts of tiered storage and data classification, compliance, best practices and buying advice.
• Master Data Management Terminology -- Whether you're thinking about implementing a new MDM system or evaluating possible tools and software to help your current data management and data integration initiatives, it's vital to understand current trends in this market, including the latest MDM definitions and industry buzzwords.
• Improving Data Quality on a Budget -- Many organizations may be tempted to forgo data quality management during a recession, but it is important that organizations assess the return on investment (ROI) of quality data, according to industry expert David Loshin.
• Ten key elements for effective dashboard design -- Learn why focusing on business needs, including current data and key performance metrics, is an effective design strategy for encouraging dashboard usability.
• Data warehouse appliance guide and special report -- n this data warehouse appliance special report, you'll find a roundup of data warehouse best practices and the latest news and trends in the data warehouse market.
• Building a data quality business case: Issues with poor data quality -- If you're trying to build a data quality business case, make sure you know common issues caused by poor data quality, with tips and advice from a project management expert.
• Data Management Technology Trends -- In this expert Q/A, you'll learn about some major data management technology trends coming out of the recession, including MDM and new types of data analysis tools.
• Understanding and comparing processing systems -- Learn about six types of processing systems and how transaction processing systems compare with batch processing, real-time, data warehouse, timesharing and client/ server systems.
• Key benchmarks for measuring transaction processing performance -- Find key benchmarks for measuring transaction processing performance at your company, plus learn about XA two-phase commit and types of transaction processing.
• Transaction processing system examples and SOA approaches -- Learn about transaction processing systems, processing systems components and different service-oriented architecture approaches, including representational state transfer.
• Top eight data and application integration definitions and buzzwords -- Get the top data and application integration buzzwords and concepts in this guide. Also, find links to helpful integration tutorials, training, articles and expert advice.
• Guidelines for managing data updates to optimize ODBC performance -- Looking to optimize your ODBC applications and functions? Find guidelines for updating data and managing your data updates efficiently and how to improve ODBC performance.
• Improving ODBC application performance and coding -- This book excerpt reveals how to improve ODBC application performance and create optimized ODBC code. Get coding examples and learn how to manage drivers and database connections.
• An introduction to data warehousing and decision support systems -- Get an overview of data warehousing (DW) and learn basic concepts and techniques, including how DW technologies are used, and learn what a decision support system (DSS) is.
• The importance of managing data assets -- Get an overview of data management and data lifecycle, find out how important managing data and data assets for businesses is today and learn how to control data in this tutorial.
• Top eight data and application integration definitions and buzzwords -- Get the top data and application integration buzzwords and concepts in this guide. Also, find links to helpful integration tutorials, training, articles and expert advice.
• Guidelines for managing data updates to optimize ODBC performance -- Looking to optimize your ODBC applications and functions? Find guidelines for updating data and managing your data updates efficiently and how to improve ODBC performance.
• Improving ODBC application performance and coding -- This book excerpt reveals how to improve ODBC application performance and create optimized ODBC code. Get coding examples and learn how to manage drivers and database connections.
• An introduction to data warehousing and decision support systems -- Get an overview of data warehousing (DW) and learn basic concepts and techniques, including how DW technologies are used, and learn what a decision support system (DSS) is.
• The importance of managing data assets -- Get an overview of data management and data lifecycle, find out how important managing data and data assets for businesses is today and learn how to control data in this tutorial.
• 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.
• Data warehouse appliances -- in a nutshell -- This guide provides an overview of data warehouse appliance trends and concepts. Get tips for advancing a data warehouse strategy, learn the benefits of data warehousing and more.

We've got lots more information for you! Check out the full collection of Learning Guides and Tutorials to learn essential information on a wide range of subjects. You'll find guides and tutorials about data centers, storage and storage management, backup and recovery, and a wide range of other topics, including databases, networking, programming and much more.

Want more information about data management? See our dedicated sister site, SearchDataManagement.com, or browse through our full collection of definitions of data management terms. Then, if you'd like to test your knowledge, see our data management quiz collection.

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