CIO Business Intelligence

JUNE 16, 2022

A real-time data technology stack has to shrink this innovation gap for the business. . Analysts and data scientists need flexibility when working with data; experimentation fuels the development of analytics and machine learning models. Often, enterprise data ecosystems are built with a mindset that’s too narrow.

IT 118

IT Experimentation IoT Data-driven 118

IBM Big Data Hub

JANUARY 17, 2023

This capability will provide data users with visibility into origin, transformations, and destination of data as it is used to build products. The result is more useful data for decision-making, less hassle and better compliance. Data integration. Data science and MLOps. AI is no longer experimental.

Data-driven 56

Data-driven Enterprise Data Governance Prescriptive Analytics 56

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Various data stores are supported in AWS Glue; for example, AWS Glue 4.0

Data Lake 112

Data Lake Data Warehouse Visualization Snapshot 112

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. These robust capabilities ensure that data within the data lake remains accurate, consistent, and reliable.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87