Big
data platform components like data lakes, Hadoop, and NoSQL have made big data
architectures more affordable, allowing companies to pursue insights-driven
competitive advantage. But security concerns, complex data structures, problems
involved in moving legacy data, large volumes, latency challenges, and variable
speed of ingestion are significant obstacles to moving business data to these
platforms, especially when dealing with data distributed across data centers.
We find that most organizations are creating multiple repositories and
platforms, creating more data silos rather than a unified platform for
insights. But disparate technology stacks compromise timely, integrated data delivery
to business users, customers, and partners.
Big
data fabric, an emerging platform, accelerates insights by automating
ingestion, curation, discovery, preparation, and integration from data silos.
Talend,
Denodo Technologies, Oracle, IBM, And Paxata Lead The Pack in "The
Forrester Wave™: Big Data Fabric, Q2 2018"
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