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

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.

How to use SQL for Data Analysis 1:07 pm August 8, 2024 By Julian Horsey In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets.

To address these issues, two technological routes based on large language models (LLM) have emerged: Text2SQL and DataAgent. They represent two different approaches to data democratization. Text2SQL: ...

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.

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 ...

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, ...

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.

As demand for business intelligence (BI) and situational awareness continues to increase, analytics adoption will also keep pace.