AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Data stored in DynamoDB is the basis for valuable business intelligence (BI) insights. You don’t need to write any code. Choose Next.

Visualization 85

Visualization Metadata Testing Internet of Things 85

datapine

JANUARY 31, 2022

It will ultimately help them spot new business opportunities, cut costs, or identify inefficient processes that need reengineering. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. 3) Drive Performance And Revenue.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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 99

Visualization Dashboards Data-driven Gap analysis 99

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 103

Data Warehouse Data Lake Analytics Machine Learning 103

IBM Big Data Hub

AUGUST 4, 2023

When effectively implemented, a data democracy simplifies the data stack, eliminates data gatekeepers, and makes the company’s comprehensive data platform easily accessible by different teams via a user-friendly dashboard. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Data Architecture 61

Data Architecture Data Lake Machine Learning Data Governance 61

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. They’ve set up some dashboards and want to ask a question. AM: How is data collected to make these recommendations?

Analytics 98

Analytics Digital Transformation Data-driven Sales 98

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