InfoTech Data & Analytics is part of Group Data Services (Digital & Tech) and links almost 70 data sources to give Swiss Re clear, trusted insight for steering group operations. The team is composed ...

SaaS data warehouses and low-code or no-code data ingestion tools empower the data analyst (now analytics engineer) to mostly self-serve on their infrastructural needs.

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.

AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes ...

PolyBase, a data virtualization feature for SQL Server, allows users to seamlessly query data from various external sources directly using T-SQL (Transact-SQL) without the need for separate client ...

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.

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.

SQL Training Courses - Why every professional should learn SQL - MS SQL Server Training for Data Analytics Knowledge Tree | Promoted article September 11, 2017 | 7 min read ...

Microsoft announced at the end of February 2022 that significant changes are in store across its SQL Server analytics products. To set the context, the broader enterprise IT marketplace was still ...

DuckDB is a tiny but powerful analytics database engine—a single, self-contained executable, which can run standalone or as a loadable library inside a host process. There’s very little you ...