Data Orchestration
Steve talks data virtualization in the age of growing data sets and larger workloads
2020-02-27
211 reads
Big Data
SQL Server Integrates Hadoop and Spark out-of-the box: The Why?
Introduction Microsoft announced in September 2018 that SQL Server 2019, which is now in preview, will have a Big Data Cluster deployment option. This is a Big-Data-capable SQL Server with elastic scale and extended Artificial Intelligence (AI) capabilities, mostly as a result of deep integration of Hadoop and Spark out-of-the-box. The new SQL Server Big […]
2019-09-09
5,042 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
How to Start Big Data with Apache Spark
It is worth getting familiar with Apache Spark because it a fast and general engine for large-scale data processing and you can use you existing SQL skills to get going with analysis of the type and volume of semi-structured data that would be awkward for a relational database. With an IDE such as Databricks you can very quickly get hands-on experience with an interesting technology.
2016-11-18
3,131 reads
The End of Big Data
What is next for big data? Some experts claim that data "volumes, velocity, variety and veracity" will only increase over time, requiring more data storage, faster machines and more sophisticated analysis tools. However, this is short-sighted, and does not take into account how data degrades over time. Analysis of historical data will always be with us, but generation of the most useful analyses will be done with data we already have. To adapt, most organizations must grow and mature their analytical environments. Lockwood Lyon shares the steps they must take to prepare for the transition.
2016-06-03
10,764 reads
Big Data Architecture
The next few years will be critical for the information technology staff, as they attempt to integrate and manage multiple, diverse hardware and software platforms. In this article, Lockwood Lyon addresses how to meet this need, as users demand greater ability to analyze ever-growing mountains of data, and IT attempts to keep costs down.
2016-05-09
5,553 reads
Blogs
Social: Going Along to Get Along
By Steve Jones
It’s the eve of the Fourth of July, when the Declaration of Independence is...
Daily Coping 3 Jul 2020
By Steve Jones
I’ve started to add a daily coping tip to the SQLServerCentral newsletter and to...
Using Docker Volumes for SQL Server in Linux
By John
No, not that kind of volume! Over the past couple of blog posts, I...
Forums
Pintable into cache
Pintable into cache to avoid fragmentation I have a table(OLTP database) which gets fragmented...
stored procedure to delete user and login
I was trying these but it does not work: USE [MyDatabase] GO /****** Object:...
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