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
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
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
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
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
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
Integrating big data appliance solutions into a data warehouse requires preparation and forethought. DBAs and business data consumers must work together both to address the implementation issues above and to meet the needs of multiple business data consumers. Lockwood Lyon discusses the topic.
2015-12-11
4,993 reads
What are the most popular SQL implementations for Hadoop? How different are they from T-SQL?
2015-11-24
5,156 reads
Learn where to get the latest installation and learning resources for the ever-evolving components of Hadoop ecosystem and how those components may complement Microsoft SQL Server common everyday tasks.
2018-05-04 (first published: 2015-10-01)
4,369 reads
As big data application success stories (and failures) have appeared in the news and technical publications, several myths have emerged about big data. This article explores a few of the more significant myths, and how they may negatively affect your own big data implementation.
2015-03-25
11,670 reads
This month, I prompted bloggers to discuss whether good enough is perfect. Thank you to all...
By Steve Jones
Recently a customer asked if SQL Compare and SQL Data Compare can be used...
i see this in the definition of a linked server on our wh sql...
Is this even possible ? Tried with grant but to no avail. [sys].[database_role_members] and...
Comments posted to this topic are about the item Stairway to Snowflake Level 5...
What does this code return in SSMS 20 from SQL Server 2019?
select '|' + CHAR(0)+'abc' + '|';See possible answers