IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Ontotext

AUGUST 4, 2023

Thanks to the metadata that the data fabric relies on, companies can also recognize different types of data, what is relevant, and what needs privacy controls; thereby, improving the intelligence of the whole information ecosystem. Data fabric does not replace data warehouses, data lakes, or data lakehouses.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Modern Data Warehousing: Barclays (nominated together with BlueData ). IQVIA is re-envisioning healthcare using a data-driven approach.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Alation

FEBRUARY 13, 2020

Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”. Ventana Research’s 2018 Digital Innovation Award for Big Data.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Alation

JANUARY 26, 2023

Lack of data governance can summon a whole range of problems, including: Lack of consistency For data to be useful, it should be consistent across all areas. A field might not be entered in the same way across different departments, which makes the data difficult to find and affects the accuracy of business intelligence (BI).

Data Governance 52

Data Governance Strategy Data Quality Data Collection 52

CIO Business Intelligence

APRIL 4, 2023

AI working on top of a data lakehouse, can help to quickly correlate passenger and security data, enabling real-time threat analysis and advanced threat detection. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

OCTOBER 24, 2023

This gives decision-makers access to current data for financial and operational reporting, reducing decision-making based on outdated information. Faster decision-making: Real-time data enables faster decision-making, allowing organizations to respond quickly to ever-changing market conditions.

Reporting 52

Reporting Operational Reporting Finance Enterprise 52

Jet Global

SEPTEMBER 26, 2023

She previously held roles at Vista Equity Partners and served as SVP of Business Operations at Mediaocean. Peter van Tiggelen, CFO, FE fundinfo: Joining FE fundinfo in February 2022, van Tiggelen oversees finance, legal, and business intelligence. This requires access to data that’s real-time.

Marketing 52

Marketing Finance Reporting Operational Reporting 52