Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

1. Introduction: Two Evolutionary Paths to Data Democratization In the wave of digital transformation for enterprises, data analysis capability has become the core of competitiveness. However, ...

With growth in unstructured big data, RDBMS is inadequate for big data analytics. Know how to use SQL and MapReduce for big data analytics, instead.

Program Overview: Offered in partnership with Microsoft, this data analytics bootcamp teaches students about business analytics, SQL best practices for writing queries, data analysis with Python ...

At the same time, streaming analytics technology is becoming increasingly accessible through open source projects, such as Apache Storm and Apache Spark, and complex event processing (CEP) engines.

With SQL Analytics, we want to extend this benefit to SQL and BI users so they can easily manage data and perform analytics on their data lakes.” ...

Integrated workflows. Go from model design to advanced analysis to visualization to source control, all in one location, and with the highest degree of data security. Analysis using SQL or Python.

Analytics engineers have some of the most in-demand big-data roles in the industry. They're experts in SQL and a new tool called dbt, tasked with cleaning large data sets. Companies like Amazon ...

Visual Data Flows in Azure Data Factory launches as a public preview, and Microsoft touts major price/performance advantages for Azure SQL Data Warehouse.