Dataconomy

SEPTEMBER 4, 2023

Big data analytics: Big data analytics is designed to handle massive volumes of data from various sources, including structured and unstructured data. Big data analytics is essential for organizations dealing with large-scale data, such as social media platforms, e-commerce giants, and scientific research.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

phData

NOVEMBER 8, 2024

Versioning also ensures a safer experimentation environment, where data scientists can test new models or hypotheses on historical data snapshots without impacting live data. Note : Cloud Data warehouses like Snowflake and Big Query already have a default time travel feature. FAQs What is a Data Lakehouse?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Alation

FEBRUARY 13, 2020

“Data catalogs are proving to be key to the success of business intelligence efforts and important pieces of a enterprises overall data governance strategy.”. Ventana Research’s 2018 Digital Innovation Award for Big Data. The award recognizes a technology that best exemplifies innovation in big data.

Data Governance 52

Data Governance Machine Learning Machine Learning Analytics 52

Alation

FEBRUARY 13, 2020

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data Lakes 52

Data Lakes Analytics Analytics Data Engineering 52

Alation

FEBRUARY 20, 2020

The next stops on the MLDC World Tour include Data Transparency in Washington, Gartner Symposium/ITxpo in Orlando, Teradata Analytics Universe in Las Vegas, Tableau in New Orleans, Big Data LDN in London, TDWI in Orlando and Forrester Data Strategy & Insights in Orlando, again. Data Catalogs Are the New Black.

Machine Learning 52

Machine Learning Machine Learning Analytics Analytics 52

Mlearning.ai

FEBRUARY 10, 2023

Both serve as a means of storing representations of historical data, which can later be queried. Library, primitive data storage solution. As seen with tech-giant Uber, you would build a massive data infrastructure that collects, processes, and stores this information to be used later for running the business.

Database 52

Database Data Warehouse Machine Learning Machine Learning 52