Jet Global

JUNE 5, 2019

Data drives everything in the business world, from manufacturing to supply chain logistics to retail sales to customer experience to post-sale marketing and beyond, data holds the secrets to making processes more efficient, production costs cheaper, profit margins higher and marketing campaigns more effective. Toiling Away in the Data Mines.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

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 83

Visualization Metadata Testing Internet of Things 83

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Let’s look at the components of the architecture in more detail.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

IBM Big Data Hub

JANUARY 18, 2023

Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. data platforms and databases), all interacting with one another to provide greater value. Data platform architecture has an interesting history.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Alation

APRIL 14, 2022

In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. Supports the ability to interact with the actual data and perform analysis on it. On-premises business intelligence and databases.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Jet Global

JULY 2, 2019

This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios. Ungoverned or uncatalogued data can leave businesses vulnerable both in terms of data quality (and organizational trust in that data), as well as in terms of security, regulatory, and compliance risks.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

AWS Big Data

FEBRUARY 21, 2023

The data vault approach is a method and architectural framework for providing a business with data analytics services to support business intelligence, data warehousing, analytics, and data science needs. Data vaults make it easy to maintain data lineage because it includes metadata identifying the source systems.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65