CIO Business Intelligence

APRIL 25, 2022

After launching industry-specific data lakehouses for the retail, financial services and healthcare sectors over the past three months, Databricks is releasing a solution targeting the media and the entertainment (M&E) sector. Features focus on media and entertainment firms.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

Jet Global

NOVEMBER 5, 2020

OLAP reporting has traditionally relied on a data warehouse. Again, this entails creating a copy of the transactional data in the ERP system, but it also involves some preprocessing of data into so-called “cubes” so that you can retrieve aggregate totals and present them much faster. It has happened before.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

Data Warehouse 72

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 72

CIO Business Intelligence

AUGUST 21, 2024

More power, more responsibility Blockbuster film and television studio Legendary Entertainment has a lot of intellectual property to protect, and it’s using AI agents, says Dan Meacham, the company’s CISO. “We These AI agents are serving both internal users and clients, says Daniel Avancini, the company’s chief data officer.

Risk 136

Risk Insurance Cost-Benefit Software 136

BizAcuity

APRIL 14, 2022

As a result, data of millions of people have been exposed in the past and it increases the privacy concerns of netizens. Unstructured Data Management. Analyzing unstructured data is vital since it holds a dearth of crucial information. Enterprise Big Data Strategy.

Big Data 52

Big Data Data Analytics Management Analytics 52

Domino Data Lab

JULY 2, 2019

Of course, if you use several different data management frameworks within your data science workflows—as just about everybody does these days—much of that RDBMS magic vanishes in a puff of smoke. Some may ask: “Can’t we all just go back to the glory days of business intelligence, OLAP, and enterprise data warehouses?”

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. A new view has to be created (or recreated) for reading changes from new snapshots.

Data Lake 130

Data Lake Metadata Statistics Optimization 130