analytics

External Article

Processing Data Using Azure Data Lake, Azure Data Analytics, and Microsoft’s Big Data Language U-SQL

  • Article

Data analytics has become one of the powerful domains in the world of data science. An enormous amount of data is being generated by each organization in every sector. Computer science has found solutions to store and process this data in a smart way through a distributed file system. One such example is Azure Data Lake. It uses the Hadoop Distributed File System, and to perform analytics on this data, Azure Data Lake storage is integrated with Azure Data Analytics Service and HDInsight. In this article, Suhas Pande will explain how to store data using Azure Data Lake and how to perform data analysis on it using U-SQL, a big data SQL and C# language.

2019-04-29

Blogs

Unlock the Power of Your Data: From Basic to Advanced Data Analysis

By

Data isn't just about numbers and spreadsheets. It holds stories, patterns, and the answers...

Attacking the Weakest Link

By

When I look at a system and think about its security model, the first...

Webinar – Microsoft Fabric for Dummies

By

On Wednesday May 15th 2024 I will give a free webinar on MSSQLTips.com about...

Read the latest Blogs

Forums

The "ORDER BY" clause behavior

By Alessandro Mortola

Comments posted to this topic are about the item The "ORDER BY" clause behavior

Are IT Certifications Still Relevant?

By Steve Jones - SSC Editor

Comments posted to this topic are about the item Are IT Certifications Still Relevant?

SQL-CTE reqursive query

By jjjohn

I have table TicketNumbers i     TicketNumber  UID 2    10                        09901a22c7c3acc6786847c775f1d113 6    5                          00dad28bef21f916240d6e8c1c1bd67d 12 ...

Visit the forum

Question of the Day

The "ORDER BY" clause behavior

Let’s consider the following script that can be executed without any error on both SQL Sever and PostgreSQL. We define the table t1 in which we insert three records:

create table t1 (id int primary key, city varchar(50));

insert into t1 values (1, 'Rome'), (2, 'New York'), (3, NULL);
If we execute the following query, how will the records be sorted in both environments?
select city

from t1

order by city;

See possible answers