0d : 0h : 0m : 0s
Explore the Latest AI, Analytics, and Data Research
One Hour, Analyst-Led Webcasts on the Latest Data Trends and Technologies
Explore the Latest AI, Analytics, and Data Research and Training by Topic
Speaking of Data Podcast
Current Research Surveys
The Leading Training Events for AI, Analytics and Data Management
Virtual, Live Seminars on the Most In-Demand Topics in Data
Virtual Events with Informative Presentations, Q&A Sessions, Networking Opportunities, and Virtual Exhibit Halls
Mounds of structured data, unstructured data, big data, and advancements in cloud technology are imposing new requirements for data integration. This TDWI Checklist Report will explore some of the key drivers these new requirements are intended to address. Whether you are looking to support the performance needs of big data applications, filter concepts from unstructured data, monitor hundreds of data feeds for unexpected behavior, export data across enterprise boundaries, or provide real-time reporting and analysis, there is a rapidly expanding need for data integration competency that extends well beyond traditional ETL.
This TDWI Checklist Report provides grounding for developing a strategic business intelligence (BI) plan for agility when adopting innovative data management and utilization techniques, while retaining a line of sight to corporate mission and corresponding business objectives.
Master data management (MDM) is one of the most widely adopted data management disciplines of recent years. This report accelerates users’ understanding of the many new user best practices, solutions, and tools that have emerged as next generation MDM. It also helps readers map their options to real-world use cases and develop a strategy for MDM.
This TDWI Checklist Report gives data replication the recognition it deserves, as a highly useful data integration technique for real-world applications in business intelligence (BI), data warehousing (DW), analytics, and general data management. But not all replication tools are created equal, and this report explains which capabilities you should look for in a tool.
This Checklist Report clarifies the common points of confusion about Hadoop and its extended ecosystem and reveals the true value of Hadoop for BI, DW, big data, and analytics.
This Checklist Report examines the issues surrounding operational and real-time BI and helps you determine how to align their implementation with true business requirements and capabilities, to ensure greater success in reaching business and IT goals.
This TDWI Checklist Report drills into the details and desirable use cases for real-time data quality (RT DQ) to help user organizations understand what’s available and when to use it.
Find the right level of Membership for you.
Learn More