Big Data

External Article

Why Would I Ever Need to Partition My Big ‘Raw’ Data?

  • Article

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

External Article

How to Start Big Data with Apache Spark

  • Article

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

External Article

The End of Big Data

  • Article

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

External Article

Big Data Architecture

  • Article

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

Learn Better: Pause to Review More

By

If you want to learn better, pause more in your learning to intentionally review.

Azure SQL Managed Instance Next-Gen: Bring on the IOPS

By

If you’ve used Azure SQL Managed Instance General Purpose, you know the drill: to...

SQL, MDX, DAX – the languages of data

By

Ramblings of a retired data architect Let me start by saying that I have...

Read the latest Blogs

Forums

Azure SQL DBA certification

By ashrukpm

Hello team Can anyone share popular azure SQL DBA certification exam code? and your...

Faster Data Engineering with Python Notebooks: The Fabric Modern Data Platform

By John Miner

Comments posted to this topic are about the item Faster Data Engineering with Python...

Which Result II

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Which Result II

Visit the forum

Question of the Day

Which Result II

I have this code in SQL Server 2022:

CREATE SCHEMA etl;
GO
CREATE TABLE etl.product
(
    ProductID INT,
    ProductName VARCHAR(100)
);
GO
INSERT etl.product
VALUES
(2, 'Bee AI Wearable');
GO
CREATE TABLE dbo.product
(
    ProductID INT,
    ProductName VARCHAR(100)
);
GO
INSERT dbo.product
VALUES
(1, 'Spiral College-ruled Notebook');
GO
CREATE OR ALTER PROCEDURE etl.GettheProduct
AS
BEGIN
    exec('SELECT ProductName FROM product;')
END;
GO
When I execute this code as a user whose default schema is dbo and has rights to the tables and proc, what is returned?

See possible answers