Hadoop is a popular enabler for big data. But with data volumes growing exponentially, analytics have become restricted and painfully slow, requiring arduous data preparation. Often, querying weeks, months, or years of data is simply infeasible, and organizations succeed in analyzing only a fraction of their data.
The now expensive nodes you need to support are strained, and the complex data architecture built around Hadoop struggles to bring business insights.
Download the whitepaper to learn:
- How to deal with the exponential growth of data
- How to reduce time spent on data preparation
- How to generate insights faster from ad-hoc queries of raw data