Creating a data-driven organization is complex and challenging. The right toolset is a critical component of big data success. As the volume, variety, and velocity of data continue to grow, organizations need a variety of big data management tools that make it easy to find and source the right data, configure and manage large-scale data flows and workflows, and deliver data in the right form to each user and application. The challenge is compounded by the variety of people who work with data today. From business people engaged with self-service analytics, to data scientists, data analysts, and data professionals from BI and IT organizations, it seems that nearly everyone is both a consumer and a provider of data.

Big data management software spans the data lifecycle supporting data profiling, transformation, enrichment, cleansing, matching and other functions. It is the glue that binds a big data environment together, fostering continuous alignment of data with dynamic and changing business needs.

In this report you will learn:

1. The kinds of tools that are needed to meet the challenges of big data
2. The purpose, functions, and characteristics of data preparation tools
3. The purpose, functions, and characteristics of pipeline management tools
4. The purpose, functions, and characteristics of data cataloging tools
5. The role of big data management tools for high-impact analytics

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