AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

Ontotext

MAY 30, 2019

Second, Linked Data is creating highly connected, computer-processable definitions of entities. Linked Data and Volume. Speaking about data and volume, it seems apt to start this with the famous saying that “most companies think they have “Big Data” problems while they actually have big “data problems””.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Ontotext

MAY 30, 2019

Second, Linked Data is creating highly connected, computer-processable definitions of entities. Linked Data and Volume. Speaking about data and volume, it seems apt to start this with the famous saying that “most companies think they have “Big Data” problems while they actually have big “data problems””.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

TDAN

JUNE 30, 2020

About a week ago, I was teaching a data modeling class, and an attendee asked me to explain the concept of a data catalog. Like a lot of hype-related terms in IT, there is more than one definition. However, I had recently read the book, The Data Catalog: Sherlock Holmes Data Sleuthing for Analytics by […].

Modeling 52

Modeling Analytics Data Architecture IT 52

BI-Survey

FEBRUARY 6, 2020

In fact, most companies struggle with data-related problems , organizational issues or outdated business intelligence and data analytics infrastructures which ignore more current usage scenarios such as explorative analytics on big data sources. Fact-Based Decision-Making Requires Trusted And Managed Data.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83

Alation

JANUARY 25, 2022

Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Metrics Data-driven 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. The Cloud Data Migration Challenge. It’s More Important to Know What Your Data Means Than Where It Is.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

IBM Big Data Hub

JANUARY 18, 2023

Data fabric promotes data discoverability. Here, data assets can be published into categories, creating an enterprise-wide data marketplace. This marketplace provides a search mechanism, utilizing metadata and a knowledge graph to enable asset discovery. Data mesh: A mostly new culture.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It is now most definitely a need-to-have. Ideally, your primary data source should belong in this group. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

IBM Big Data Hub

JULY 5, 2023

This was, without a question, a significant departure from traditional analytic environments, which often meant vendor-lock in and the inability to work with data at scale. Another unexpected challenge was the introduction of Spark as a processing framework for big data. Comprehensive data security and data governance (i.e.

Data Lake 60

Data Lake Metadata Cost-Benefit Data Warehouse 60