Pools of master data present in repositories play a big role in data analytics. For example, data is already re-posited in data warehouses. Example, product data, customer data etc.
Big data needs mixed skills. For example - technical skills and some soft skills.
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Big data needs mixed skills. For example - technical skills and some soft skills.
1# Technical Skills
One being able to administer software frameworks like:- Hadoop,
- expertise in databases like noSQL,
- Cassandra or HBase
- analytics programming languages and facilities like R or Pig.
2# Soft Kills
Ability of people to think broadly across the organization, to understand the bottom-line needs of the business, to know which analytics questions to pose to get to those bottom lines, and to measure and communicate results. Additional Technical Skills - SAS, CognosRelated