Essential Guides

Editorial

• GDPR, AI intensify privacy and data protection compliance demands

  This guide covers the challenges data management teams face on data protection and privacy, particularly with the rise of GDPR and similar laws and the growing use of AI tools.  Continue Reading

• Using big data platforms for data management, access and analytics

  Big data architectures typically involve multiple processing platforms. In this essential guide, you'll find information and advice on managing Hadoop, Spark and other big data technologies.  Continue Reading

• How to select the best DBMS software: A buyer's guide

  Learn how to evaluate and buy the best DBMS software for your organization.  Continue Reading

• How to determine which data governance tool best meets your needs

  This buyer's guide provides insights to help you determine if your organization could benefit from data governance software and how to navigate the buying process.  Continue Reading

• Determine which database performance tools best mitigate bottlenecks

  This buyer's guide provides detailed insight to help you determine if your organization could benefit from a database performance tool and how to navigate the tool-buying process.  Continue Reading

• Navigate the data integration product buying process

  The key to selecting a data integration product is to pick the tool that best meets your organization's needs -- not the one with the most features.  Continue Reading

• Investigating Hadoop distributions: Which is right for you?

  With several vendor Hadoop distributions available, it's difficult to know which to select. This buyer's guide helps you choose the one that best meets your needs.  Continue Reading

• A buyer's guide to selecting the best data warehouse product

  With several deployment options and product choices, it's difficult to know where to start. This buyer's guide helps you choose the right data warehouse product for your company.  Continue Reading

• Strata + Hadoop World 2016: Hadoop and Spark in spotlight

  The Strata + Hadoop World conference focuses on big data management and analytics technologies, in particular the Hadoop distributed processing framework and Spark processing engine.  Continue Reading

• Cloud data warehouse guide: Using Redshift, rival platforms

  Like other cloud services, cloud data warehouse platforms can offer potential savings, faster rollouts and the ability to scale up or down easily -- but there are challenges, too.  Continue Reading

• Guide to managing a data quality assurance program

  This guide offers insight on data quality management issues and best-practices advice on planning and implementing a data quality improvement program.  Continue Reading

• Relational database management system guide: RDBMS still on top

  This Essential Guide explores recent developments in relational databases, and their strengths and weaknesses compared with NoSQL technologies.  Continue Reading

• Guide to NoSQL databases: How they can help users meet big data needs

  This guide delivers insight on NoSQL database technology and trends, plus expert advice and best-practices tips on deploying NoSQL software.  Continue Reading

• Using big data and Hadoop 2: New version enables new applications

  This guide explores Hadoop 2's features and capabilities and analyzes the future of Hadoop-based big data applications in organizations.  Continue Reading

• Managing Hadoop projects: What you need to know to succeed

  This guide offers expert insights into the Hadoop framework, looking at what Hadoop can and can't do as a tool for big data management and analytics.  Continue Reading