Big Data Storage Software
The Ingestion phase results in extremely large data sets ingested and stored into the Big Data structures and linked to other internal and external data sets. Large data sets captured pose few major challenges:
- Large data sets come in different types and formats: structured and unstructured, data from conventional databases, documents, emails, videos, biometrics…
- Data flows in highly inconsistent volumes and peaks. Capturing, merging and managing content varieties pose a high technological challenge in preparing and organizing Big Data for analysis
A Big Data Storage Solution should comply with the 5 “V”s to handle very large Volumes requiring adequate automation to obtain better insights, within a Variety of types and formats requiring advanced connectors and adaptors. In addition, overcome the technological challenges caused by the Velocity of data flowing in different peaks, while ensuring its Validity remaing. Volatility, on the other hand, is the most important factor in order to understand what data is out there and for how long the data need to “live” to satisfy the needs of an organization, which can help in defining retention requirements and policies for Big Data Storage.