Introducing Synapse Analytics Data Explorer pools

2022

TL; DR

A look at the features and uses of Synapse Analytics Data Explorer Pools

Session Details

A recent change to Synapse Analytics was the addition of Data Explorer pools, joining the SQL and Spark pools.
In this session we'll look at why you might want to use Data Explorer and what it offers to the analytics platform.

Feedback link https://sqlb.it/?7046

3 things you'll get out of this session

Gail Shaw's other proposed sessions for 2026

All about Indexes - Part 1 - 2026

All about Indexes - Part 2 - 2026

Identifying the worst performing queries in a DB, with Query Store - 2026

KQL for the SQL Professional - 2026

On Transactions and Atomic Operations - 2026

Parameter Sniffing vs Parameter Sensitive Plan Optimization - 2026

Transaction Log Internals, unplugged - 2026

Gail Shaw's previous sessions

Regressions, neurons and decisions. Oh My!

Linear regression, neural networks and neural networks are three of the foundational algorithms in machine learning. In this session, we'll look at how they work and how they generate the results that they do.

All about Indexes

Indexes are essential to good database performance, but it can be hard to decide what indexes to create. In this session we'll look at the design considerations for clustered indexes and for nonclustered indexes.

All about Indexes

Indexes are essential to good database performance, but it can be hard to decide what indexes to create. In this session we'll look at guidelines for index creation

Do's and don'ts of database corruption

In this session we'll look at the things you should and shouldn't be doing now, to protect yourself and your data against the risk of corruption and thing you should and shouldn't do should the database ever become corrupt.

In this session we'll look at the common causes of bad execution plans and examine options for resolving the problem, short term and long term.