T-SQL Tuesday #095 – Big Data

Invitation  and roundup from Derik Hammer.

This month’s topic: Big Data

Big data is both a buzzword, or phrase, and a booming area of technology. Technical professionals and companies alike are investing a lot in big data and I want to hear your thoughts on the topic. Your post can be about; how big data affects the industry and our careers, how the cloud is enhancing our ability to work with big data, how you deal with big data in SQL Server on-premises, NoSQL, development challenges and strategies for working with internet of things data, or anything else you come up with. Big data has become quite large (pun intended) and should offer a lot of freedom for self-expression in this month’s posts.

The rules

  1. Write a post on the topic above.
  2. Schedule the post to go live on Tuesday, October 10th, 2017 between 00:00 and 23:59 UTC.
  3. Include the TSQL Tuesday logo in the top of your post.
  4. Link the post back to this one and comment on this post advertising your post.
  5. Optional, but encouraged: Tweet a link to your post using the #tsql2sday hash tag on Twitter

Extra credit

Blend your topic with emerging technologies. Some examples:

  • Work with big data in Microsoft’s new Azure Cosmos DB.
  • Show how new SQL Server 2017 features impact big data in SQL Server.
  • Show how R and Polybase can use big data for predictive analytics.

T-SQL Tuesday #027 – Invitation to The Big Data Valentine’s Edition

Invitation and roundup from Steve Jones.

Big Data

godivaThe party falls on Valentine’s Day this month, and I thought a little notice would let you get your post done early, and then spend the day with your loved ones

Since the media has a love affair with Big Data right now, I thought this would make an interesting topic. Data is the lifeblood of our careers and of many organizations. Slowly governments, companies, and individuals are becoming aware of just how important data is to us, and as they do, they want more of it. More storage, more access, and more analysis.

That creates challenges for us as data professionals. We will have to learn to better manipulate, aggregate, summarize, and handle larger volumes of data in the future. I think this means we will have lots of employment in this area, and it means tremendous opportunity for those that learn to work with data well.

This month I want to hear what big data problems you’ve solved, or interesting ways of working with big data, challenges that you struggle with, or cool hardware tricks that mask the problems in your code.

Think big, and let us know how you work with Big Data.