Flipboard

OCTOBER 25, 2023

By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. The solution integrates data in three tiers.

ML 166

ML Metadata Data Extraction AI 166

ODSC - Open Data Science

OCTOBER 25, 2024

At the AI Expo and Demo Hall as part of ODSC West next week, you’ll have the opportunity to meet one-on-one with representatives from industry-leading organizations like Plot.ly, Google, Snowflake, Microsoft, and plenty more. Learn more about the AI Insight Talks below.

Data Scientist 52

Data Scientist Software Engineer Automation Machine Learning 52

Pickl AI

JULY 6, 2023

Utilizing Hive in Hadoop: Use Cases and Benefits Hive is widely used in big data analytics for various use cases, including: Data Exploration Hive allows users to interactively explore and analyze large datasets stored in Hadoop, enabling data discovery and gaining valuable insights.

Big Data 52

Big Data Data Analysis ETL Metadata 52

Marktechpost

JULY 18, 2023

The ETL process transforms structured or unstructured data from numerous sources into a simple format for your employees to understand and use regularly. Data extraction Data that has been extracted has been retrieved from one or more sources, both structured and unstructured. The post What is ETL?

ETL 52

ETL Data Integration Business Intelligence Automation 52