AWS Big Data

NOVEMBER 29, 2023

Generative SQL uses AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly allowing you to get insights faster in a conversational format without extensive knowledge of your organization’s complex database metadata.

Data Warehouse 115

Data Warehouse Analytics Data Lake Machine Learning 115

AWS Big Data

OCTOBER 11, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, ML, and application development. The Data Catalog contains the table definition, which contains metadata about the data in the machine-readable file.

Visualization 112

Visualization Dashboards Data-driven Gap analysis 112

bridgei2i

MARCH 11, 2021

Recognizing the “right” data that can be optimized by AI-powered business analytics tools. Small businesses need to build low-scale versions of these systems. It’ll become easier to store metadata (data lakes, warehouses, data quality systems, etc.) Identify data errors and eliminate them from the system. in the system.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Sisense

MAY 18, 2020

YL: We’re interested in metadata. Behind the scenes, a widget generates a query in ElastiCube , our high-performance analytics database, and this goes into a pipeline that’s accumulated in the graph. The more you type, the more recommendations we can make to create a more specific question.

Analytics 98

Analytics Digital Transformation Data-driven Sales 98

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Cloudera

MAY 12, 2021

We will be looking out for entries from organizations that have centralized management, security, and governance of their data and metadata policies, ensuring consistent data lineage, and control without impacting the ability of the business to drive value and insight from the data. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Cloudera

JULY 13, 2022

The service provides simple, easy-to-use, and feature-rich data movement capability to deliver data and metadata where it is needed, and has secure data backup and disaster recovery functionality.

Snapshot 91

Snapshot Management Cost-Benefit Metadata 91

Peter James Thomas

AUGUST 18, 2018

Next, rather than just being the province of Data Scientists, there were moves to use Data Lakes to support general Data Discovery and even business Reporting and Analytics as well. This required additional investments in metadata.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Peter James Thomas

AUGUST 29, 2018

On a day to day basis, we are aligned with the business units and the functional units so we have CDOs in all of these areas. Additionally I have a direct set of reports who drive the standard solutions around tooling, governance, quality, data protection , Data Ethics , Metadata and data glossary and models.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. Research VP, Business Analytics and Data Science.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Domino Data Lab

JULY 22, 2019

Those workflows would feedback into your business analytics. Also, increasingly, data science is less about business analytics and more about edge inference. We had Julia Lane talking about Coleridge Initiative and the work on Project Jupyter to support metadata and data governance and lineage.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Data Virtualization

MARCH 21, 2019

According to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard! There is not one specific.

Big Data 60

Big Data Management Data Lake Metadata 60

Jet Global

JUNE 24, 2024

The only difficulty is determining the metadata for the columns in the CSV. The only important thing is that you can create code which exposes this data and metadata. A more complex example involves using a JSON data source. There are several ways to map this type of data.

Unstructured Data 52

Unstructured Data Metadata Reporting Software 52

Jet Global

JUNE 9, 2022

Angles Hub incorporates “Google-style” search technology that reveals and catalogs all metadata, including user-defined tags. It documents the business metadata of each view and report, making it faster and easier to search for and understand data. Live demo tailored to your business requirements.

Operational Reporting 52

Operational Reporting Reporting Data Warehouse Cost-Benefit 52

Jet Global

SEPTEMBER 19, 2023

Angles Hub incorporates “Google-style” search technology that reveals and catalogs all metadata, including user-defined tags. It documents the business metadata of each view and report, making it faster and easier to search for and understand data. Lightning-fast search functionality. Cross-functional collaboration.

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52

AWS Big Data

OCTOBER 31, 2024

Absence of data catalog and metadata management – Data didn’t have any metadata associated with it, and so use cases couldn’t consume the data without further explanation from the data source owners and specialists. In addition, they use generative AI capabilities to generate business metadata.

Digital Transformation 106

Digital Transformation Metadata Data Quality Manufacturing 106

Andrew White

MARCH 22, 2019

to weave together the governance and management of master data, application data, and less-widely shared data, and just enough enterprise metadata management. Don’t You Need to Understand Your Business Information Architecture? Data and analytics (and maybe AI) are getting very tired terms.

Analytics 68

Analytics Metadata Data Governance Management 68