Alation

FEBRUARY 20, 2020

Prior to the Big Data revolution, companies were inward-looking in terms of data. During this time, data-centric environments like data warehouses dealt only with data created within the enterprise. THE NEED FOR METADATA TOOLS. Given the characteristics of data acquisition, how should it be handled?

Metadata 52

Metadata IT Data Governance Data Warehouse 52

Cloudera

MAY 22, 2019

Although the program is technically in its seventh year, as the first joint awards program, this year’s Data Impact Awards will span even more use cases, covering even more advances in IoT, data warehouse, machine learning, and more. DATA SECURITY AND GOVERNANCE. DATA CHAMPIONS.

Machine Learning 56

Machine Learning Data Architecture IoT Data Warehouse 56

IBM Big Data Hub

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent. Later this year, it will leverage watsonx.ai

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

APRIL 28, 2023

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Interactive 111

Interactive Data Warehouse Metadata Data-driven 111

Domino Data Lab

JULY 22, 2019

You know, case in point, if you were to talk about predictive analytics 20 years ago, the main people in the field would have laughed you out of the room. Predictive analytics, yeah, not so much.” The data governance, however, is still pretty much over on the data warehouse.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jet Global

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Metadata Self-service analysis is made easy with user-friendly naming conventions for tables and columns. Diagnostic Analytics: No longer just describing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

David Menninger's Analyst Perspectives

JANUARY 9, 2025

Business software providers are already incorporating data stores on applications and platforms optimized for specific users and use cases. We refer to this somewhat tongue-in-cheek as a data pantry. It should aid people in using predictive analytics to make better-informed plans and forecasts that are, hopefully, more accurate.

Finance 130

Finance Forecasting Data Warehouse Interactive 130

AWS Big Data

OCTOBER 24, 2024

Data security is one of the key functions in managing a data warehouse. With Immuta integration with Amazon Redshift , user and data security operations are managed using an intuitive user interface. This blog post describes how to set up the integration, access control, governance, and user and data policies.

Data Warehouse 111

Data Warehouse Business Objectives Data-driven Management 111

BI-Survey

FEBRUARY 7, 2022

Creating all reports in a single tool and storing all data in a common data warehouse was meant to boost efficiency. Instead of curbing expenditure, horizontal integration curbed the innovative capacity of companies to use their data. And transparency is a must to democratize access to data in a company.

Analytics 52

Analytics Metadata Cost-Benefit Software 52