The idea of data lakes has been fermenting, and now real companies are using them for real analysis. Here's why you might want one -- and how to create it. Topics ...

This could be structured data, semi-structured data, or even unstructured data such as images (.jpg) and videos (.mp4). ... Architecture of a data lake: Storage and analysis process.

The data lake has become accepted as an important component of a modern data architecture, enabling a wider variety of data to be accessed by users. Yet, challenges persist. Recently, John O'Brien, ...

Lack of consistency: Companies may often find it difficult to keep their data lake and data warehouse architecture consistent. It is not just a costly affair, but teams also need to employ ...

A data lake is a massive storage repository that can hold all types of data until it is needed for business analytics or data mining. But it's not a panacea for big-data projects. 1.The concept is ...

Radiant Advisors' John O'Brien explained modern data architecture at Data Summit Connect Fall 2020, presented by DBTA and Big Data Quarterly. There are a lot of components to a modern data ...

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. Topics Cloud Computing ...

Data lakes were built for big data and batch processing, but AI and machine learning models need more flow and third party connections. Enter the data hub concept that'll likely pick up steam.

General Electric (GE) has created an industrial-scale data lake software system that could change the way large industrial entities store, manage and gather insight from the analysis of Big Data.

Onehouse Automates State-of the-Art Apache Hudi Data Lakehouses in Four Easy Steps and Unlocks Native Performance Accelerations Inside Databricks and Snowflake With OnetableMENLO PARK, Calif., Feb ...