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.

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