Query Any Data by Wayne Eckerson
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This document discusses strategies for querying different types of data. It notes that while relational databases can query transactional and structured data using SQL, they are missing 80% of unstructured and multi-structured data. Non-relational databases can query all types of data but are not SQL-based. The document outlines SQL and NoSQL strategies for querying data, including using SQL on Hadoop, SQL-like languages, search APIs, blobs and text mining, and NoSQL APIs. It also mentions querying data both on-premises and in the cloud through query virtualization and search.
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Query Any Data by Wayne Eckerson
- 1. © Eckerson Group LLC Query Any Data Wayne W. Eckerson
- 2. © Eckerson Group LLC Query All Types of Data Pros: Transactions/Integrity Cons: Missing 80% of data Pros: Multi-structured data Cons: Not SQL Relational Non-relational Approach: SQL Approach: NoSQL NoSQL Strategies - BLOBs and Text mining - NoSQL APIs - Search APIs SQL Strategies - SQL on Hadoop - SQL-like languages - Search APIs Query Virtualization On premises/ Cloud Search