Paul Turley Discusses Large Data 

Paul Turley is a Microsoft Data Platform MVP, BI Solution Architect and independent consultant with Intelligent Business LLC. He consults, trains, writes, speaks, and blogs about business intelligence and reporting solutions. 
In this video, Paul Turley explores the best way to work with high volumes of data in BI solutions.

BI on Big Data

What’s the best way to tackle big data analytics in your organization? In this ebook, we cover the pros and cons of various approaches, and discuss how Dremio can enable a self-service data strategy.

FAQs about Organizing a Data Lake

Need help organizing data? Melissa Coates answers several questions that will help you when working with a data lake.

DAX Error Messages in Power BI

This article describes the real meaning of common error messages that can appear when users define DAX expressions in Power BI and the required actions to take as a result.

SQL Server Engineer-Led Roadshows

Attend a SQL Server and Azure Data Services free roadshow event near you in February and March 2019. Hear SQL Server Engineering leaders discuss and demo new innovations in SQL Server 2019 and Azure Data Services.

A Better Way to Clean Up the SSIS Catalog Database

Learn one of the main reasons for a slow purge process when performing an automatic log cleanup. Tim Mitchell shares a more efficient way of carrying out this operation.

What Product Should I use to Transform my Data?

James Serra offers an overview of data transformation tools that can aid in the process of building a big data solution in the cloud.

Six Business Intelligence Trends to Watch for in 2019

Here’s what you need to know about these six Business Intelligence trends to watch for in 2019.

Upcoming Virtual Events

Doug Finke on Using the ImportExcel PowerShell Module

Wednesday, February 20, 2019. 23:00 UTC.

Stored Procedure Optimization Techniques

Tuesday, March 05. 17:00 UTC.

Networking 101: Building Professional Relationships

Friday, March 08, 2019. 19:00 UTC.

Where Should My Data Live (and Why)?

Tuesday, March 12, 2019. 01:30 UTC.

 


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