AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 86

Analytics Data Warehouse Data Lake Metadata 86

Peter James Thomas

AUGUST 18, 2018

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Overlapping with the above, from around 2012, I began to get involved in also designing and implementing Big Data Architectures; initially for narrow purposes and later Data Lakes spanning entire enterprises.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

AWS Big Data

AUGUST 6, 2024

In parallel, the Pinot controller tracks the metadata of the cluster and performs actions required to keep the cluster in an ideal state. Its primary function is to orchestrate cluster resources as well as manage connections between resources within the cluster and data sources outside of it.

OLAP 101

OLAP Analytics Visualization Dashboards 101

AWS Big Data

FEBRUARY 21, 2023

At the heart of all data warehousing is integration, and this layer contains integrated data from multiple sources built around the enterprise-wide business keys. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse.

Data Warehouse 78

Data Warehouse Data Lake Cost-Benefit Metadata 78

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52

AWS Big Data

OCTOBER 4, 2023

User inputs are stored in the internal metadata repository of the tool and Cognizant Data & Intelligence Toolkit (CDIT): ETL Conversion Tool parses these XML input files and breaks them down to a patented canonical model, which is then forward engineered into the target AWS Glue scripts in Python or Scala.

Data Warehouse 64

Data Warehouse Cost-Benefit Metadata Data Lake 64

IBM Big Data Hub

JULY 17, 2023

sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. Easy to use, integrated data console: Bring your own data and stay in control of your data.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Cloudera

JUNE 16, 2022

The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities. For governance and security teams, the questions revolve around chain of custody, audit, metadata, access control, and lineage. Without context, streaming data is useless.”

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

FEBRUARY 20, 2020

Increasingly, Chief Data Officers (CDOs) are the leaders tasked with harnessing data to drive the business forward. Initially, CDOs were funded to ensure compliance in industries like banking, finance, insurance, healthcare and government. Today, the scope of the CDO is shifting toward empowering data-driven organizations.

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

AWS Big Data

MARCH 13, 2025

StarTrees automatic data ingestion framework is ideal for enterprise workloads because it improves scalability and reduces the data maintenance complexity often found in open source Pinot deployments. The data is then modelled to help you organize and structure the data fetched from the selected data source into Pinot tables.

Management 99

Management Analytics OLAP Online Analytical Processing 99