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Cold data, 60-80% of data by some estimates, is sitting unused or infrequently used in data lakes. For standard Hadoop data lakes, because Hadoop co-locates or couples storage with compute in its clusters, you are carrying not only the expense of storage for this cold data, but also the cost of compute. As your Hadoop footprint expands, your costs become uneconomical.
The solution? Use Hitachi’s intelligent data tiering solution, Lumada Data Optimizer for Hadoop, to identify cold data within your Hadoop data lake and move it to object storage. Download this eBook to learn more.
- Vendor:
- Hitachi Vantara
- Posted:
- Oct 1, 2021
- Published:
- Sep 1, 2021
- Format:
- Type:
- eBook
