Data lakes take on big data
A data lake is a scalable data storage repository that can ingest large amounts of raw data and make it available on-demand. Robert Sheldon explains the benefits and challenges of data lakes.
2022-02-04
Big Data
Create a SQL Server PolyBase Scale-out Group Using Amazon Web Services
In this article we look at how to create a scale-out SQL Server PolyBase solution on AWS
2021-12-08
Do You Have Big Data?
Data sizes are always growing. Stats on world data are astounding, as are the stats many of us experience in our lives. Plenty of us have moved from MB management to GBs, and I see plenty of people dealing with TB storage at home. Most of that data is likely from images and video, but […]
2020-09-09
136 reads
Data Orchestration
Steve talks data virtualization in the age of growing data sets and larger workloads
2020-02-27
255 reads
SQL Server Integrates Hadoop and Spark out-of-the box: The Why?
Why has Microsoft added new capabilities in SQL Server to connect to other types of data sources? Read on to learn more.
2021-05-14 (first published: 2019-09-09)
9,709 reads
Reduce costs by adding a data lake to your cloud data warehouse
When it comes to data warehouse modernization, we’re big fans of moving to the cloud. ...
2019-04-17
Top big data analytics trends hold true well into 2019
The overall importance of data and information within organizations has continued to grow. We’ve also seen the continued rise of megatrends like IoT, big data – even too much...
2019-04-16
Databricks Dashboards: Data Exploration With Salary Classification
For many companies, the initial attraction to Azure Databricks is the platform’s ability to process big data in a fast, secure, and collaborative environment. However, another highly advantageous feature is the Databricks dashboard.
2019-03-30
Generate Big Datasets with Hive in HDInsight
This post describes how to generate big datasets with Hive in HDInsight, specifically TPC-DS benchmarking datasets. There are many tools for generating sample data, and this one is particularly nice due to its familiarity and ability to generate massive...
2019-03-30
Why Would I Ever Need to Partition My Big ‘Raw’ Data?
Whether you are running an RDBMS, or a Big Data system, it is important to consider your data-partitioning strategy. As the volume of data grows, so it becomes increasingly important to match the way you partition your data to the way it is queried, to allow 'pruning' optimisation. When you have huge imports of data to consider, it can get complicated. Bartosz explains how to get things right; not perfect but wisely.
2016-11-22
3,345 reads
Blogs
SQL Homework – July 2022 – Update your resume.
Resumes have been on my mind a lot recently. I’ve been thinking that I...
A Blogging Break
By Steve Jones
Outside of coping tips, I’m gonna take a break from blogging. I’ve been aiming...
Daily Coping 5 Jul 2022
By Steve Jones
I started to add a daily coping tip to the SQLServerCentral newsletter and to...
Forums
Designing a table
Hi, I have this list of training courses: Course_Code|Description 1 |Health and Safety 2...
Multiple Fact Tables
Please assist? I would like to do a data model of the tables here:...
Drop database on Secondary Node from Primary for automatic restore job
hi all We've ventured into the world of AAG's as we have now moved...
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