BigArchTM for Data Archival
Automation and growing IT penetration in the Hi-Tech industry generates massive amounts of data which leads to an increased cost of managing and storing this data. As M&A activity continues to proliferate in the semiconductor / technology industry, it is an imperative to launch IT portfolio rationalization initiatives. With such initiatives, many applications tend to get decommissioned. In such a scenario as well, it is mandatory to retain business-critical data and address operational or regulatory compliance needs. Data architects & system designers need to adopt better archival solutions enhancing efficiency and cost optimization.
BigArchTM is Hadoop based archival solution developed by LTIMindtree which allows data to be moved from a high-end storage system to a low-cost system, for optimum level retrieval without any licensing costs. BigArchTM ensures faster retrieval from the archival store through a query mechanism. LTIMindtree won the prestigious award in ’Innovation in Data Storage’ category for this solution at the NetApp Innovation Day 2016.
Key Highlights
- Configurable & Wizard Based: Supports different source database systems like SQL server, MySQL, Oracle, Teradata and CSV file. User can also choose from different Hadoop distributions like Cloudera, Mapr, Hortonworks, Amazon EMR and Microsoft HDInsight.
- Schema Evolution: Supports evolving schema and easily updates new schema
- Archival Policy Management: Creates archival rules to archive subset of data from entire table
- Data Retention & Restoration Management: Creates & modifies data retention rules with trace back functionality to retrieve, search and query archived data
Key Benefits
- Optimized cost and a faster archival solution
- Reduced hardware and licensing costs
- Reduced administration man-hours
- Faster query performance
- Eliminates time consuming tape retrieval and lead time
