With SQL Analytics, Databricks looks to resolve the data warehouse vs. data lake debate in the big data world. Data warehouses contain data – usually structured – that has been collected and ...

“Every week there’s a new flavor of cloud database on the market. There are data lakes and data swamps and data stores ... The days of everyone using Oracle or SQL Server are gone, he said.

A data lake can be an asset to business intelligence systems. But in developing a data lake it's important to avoid pitfalls that can end up creating a data swamp. Alex Gorelik ... you put it inside ...

Another distinction is quantitative data analysis (or analysis of numerical data that has quantifiable variables that can be compared statistically) vs ... Conventional SQL databases are designed ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing ...

To pull it off, you need to turn your unwieldly data swamps into a engine for transformation. TD North provided some proof points. The Talend Connect 18 keynotes pushed a heady new phase in next-gen ...

Microsoft updated its Visual Studio Code extension for working with the Azure Data Lake for Big Data ... With the integration of VS Code explorer, you can choose your preferred way to manage your ...