IBM Big Data Hub

FEBRUARY 26, 2024

Download the Gartner® Market Guide for Active Metadata Management 1. Efficient cloud migrations McKinsey predicts that $8 out of every $10 for IT hosting will go toward the cloud by 2024. Data lineage provides a comprehensive overview of all your data flows, sources, transformations, and dependencies.

Cost-Benefit 92

Cost-Benefit Metadata Data Governance Reporting 92

AWS Big Data

OCTOBER 18, 2023

FINRA centralizes all its data in Amazon Simple Storage Service (Amazon S3) with a remote Hive metastore on Amazon Relational Database Service (Amazon RDS) to manage their metadata information. host') export PASSWORD=$(aws secretsmanager get-secret-value --secret-id $secret_name --query SecretString --output text | jq -r '.password')

Big Data 82

Big Data Data Processing Interactive Testing 82

erwin

AUGUST 28, 2020

Other areas in where well governed data plays an important role include digital transformation, data standards and uniformity, self-service and customer trust and satisfaction. Every new sale, every new inquiry, every website interaction, every swipe on social media generates data. What Is Good Data Governance?

Data Governance 145

Data Governance IT Cost-Benefit Metadata 145

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Enterprise 78

bridgei2i

MARCH 3, 2021

In this episode of the AI to Impact Podcast, host Pavan Kumar speaks to Prinkan Pal about the evolution of data engineering and ML-operations from a closed team into a tech consulting unit. I’m your host – Pawan Kumar. Episode 4: Unlocking the Value of Enterprise AI with Data Engineering Capabilities. Pavan: Great, Prinkan.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. Evolution of the data platform requirements smava started with a single Redshift cluster to host all three data stages.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

MARCH 13, 2024

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. The crawlers will automatically classify the data into JSON format, group the records into tables and partitions, and commit associated metadata to the AWS Glue Data Catalog. Choose Run.

Analytics 96

Analytics IoT Metadata Internet of Things 96