IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 72

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 72

AWS Big Data

FEBRUARY 19, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Thousands of customers use Amazon Redshift read data sharing to enable instant, granular, and fast data access across Redshift provisioned clusters and serverless workgroups.

Cost-Benefit 114

Cost-Benefit Data Warehouse Marketing Interactive 114

Cloudera

FEBRUARY 16, 2022

This allows data scientists, engineers and data management teams to have the right level of access to effectively perform their role. Model reproducibility is the extent to which a model can be recreated. If a model’s lineage is completely captured, we know exactly what data was used to train, test and validate a model.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

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 Data Science Machine Learning Data-driven 105

BizAcuity

APRIL 14, 2022

For example, one company let all its data scientists access and make changes to their data tables for report generation, which caused inconsistency and cost the company significantly. The best way to avoid poor data quality is having a strict data governance system in place. Enterprise Big Data Strategy.

Big Data 52

Big Data Data Analytics Management Analytics 52

Alation

FEBRUARY 13, 2020

A robust data catalog provides many other capabilities including support for data curation and collaborative data management, data usage tracking, intelligent dataset recommendations, and a variety of data governance features. Benefits of a Data Catalog. Improved data efficiency.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Cloudera

MARCH 6, 2018

Instead, they have separate data stores and inconsistent (if any) frameworks for data governance, management, and security. If catalog metadata and business definitions live with transient compute resources, they will be lost, requiring work to recreate later and making auditing impossible.

Analytics 40

Analytics Metadata Recreation/Entertainment Big Data 40

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 129

Data Lake Metadata Statistics Optimization 129

Jet Global

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control.

Data Quality 98

Data Quality Reporting Recreation/Entertainment Finance 98

Jet Global

DECEMBER 17, 2021

For example, the research finds that nearly half (48%) of finance organizations spend too much time on closing the books in reporting entities, and a similar percentage spend too much time on subsequent steps, such as, data collection, validation, and submission of data to the corporate center.

Reporting 52

Reporting Management Recreation/Entertainment Finance 52