DataKitchen

DECEMBER 20, 2020

They give data scientists tools to instantiate development sandboxes on demand. They automate the data operations pipeline and create platforms used to test and monitor data from ingestion to published charts and graphs.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 79

Management Metadata Data Architecture Data Lake 79

AWS Big Data

JANUARY 30, 2025

AWS Glue A data integration service, AWS Glue consolidates major data integration capabilities into a single service. These include data discovery, modern ETL, cleansing, transforming, and centralized cataloging. Its also serverless, which means theres no infrastructure to manage.

Data Warehouse 55

Data Warehouse Data Architecture Machine Learning Data Transformation 55

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Components of a Data Mesh. Key Design Principles of a Data Mesh. Introduction.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

JUNE 10, 2024

The data resides on Amazon S3, which reduces the storage costs significantly. Centralized catalog for published data – Multiple producers release data currently governed by their respective entities. For consumer access, a centralized catalog is necessary where producers can publish their data assets.

Data Lake 117

Data Lake Metadata Data Warehouse Data Processing 117

AWS Big Data

SEPTEMBER 7, 2023

This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights.

Metadata 115

Metadata Dashboards Metrics Visualization 115

Data Virtualization

DECEMBER 8, 2022

Reading Time: 3 minutes While cleaning up our archive recently, I found an old article published in 1976 about data dictionary/directory systems (DD/DS). Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”. It was written by L.

Metadata 69

Metadata IT Publishing Data Integration 69

AWS Big Data

SEPTEMBER 21, 2023

Satori accelerates implementing data security controls on datawarehouses like Amazon Redshift, is straightforward to integrate, and doesn’t require any changes to your Amazon Redshift data, schema, or how your users interact with data. Lisa Levy is a Content Specialist at Satori.

Data Warehouse 114

Data Warehouse Interactive Data Architecture Data-driven 114

AWS Big Data

JULY 2, 2024

It also provides timely refreshes of data in your data warehouse. AWS DMS publishes the replicationtaskstopped event to EventBridge when the replication task is complete, which invokes an EventBridge rule. He has worked with building databases and data warehouse solutions for over 15 years.

Data Warehouse 118

Data Warehouse Sales Testing Big Data 118

Ontotext

JANUARY 10, 2024

And each of these gains requires data integration across business lines and divisions. Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

IBM Big Data Hub

JUNE 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. gene expression; microbiome data) and any tabular data (e.g., clinical) using a range of machine learning models.

Informatics 62

Informatics Consulting Cost-Benefit Data Architecture 62

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources. With AWS Glue 5.0, AWS Glue 5.0 AWS Glue 5.0 Apache Iceberg 1.6.1,

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

Ontotext

MARCH 27, 2024

For example, a node in an LPG with a given label does not guarantee anything about its properties and data type (because it is a string and represents no semantics). LPG lacks schema and semantics, which makes it inappropriate for publishing and sharing of data. This makes LPGs inflexible. LPGs are rudimentary knowledge graphs.

Modeling 53

Modeling Metadata Data Quality Enterprise 53

AWS Big Data

JUNE 7, 2023

For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed.

Metadata 58

Metadata Data Lake Machine Learning Big Data 58

Andrew White

JANUARY 9, 2022

I try to relate as much published research as I can in the time available to draft a response. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend. – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Jet Global

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

JANUARY 13, 2025

We cover batch ingestion methods, share practical examples, and discuss best practices to help you build optimized and scalable data pipelines on AWS. Overview of solution AWS Glue is a serverless data integration service that simplifies data preparation and integration tasks for analytics, machine learning, and application development.

Visualization 98

Visualization Interactive Data-driven Data Architecture 98

Ontotext

NOVEMBER 11, 2024

This often leaves business insights and opportunities lost among a tangled complexity of meaningless, siloed data and content. Knowledge graphs help overcome these challenges by unifying data access, providing flexible data integration, and automating data management.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

Jet Global

MAY 9, 2025

The Challenge of Capturing Human Input Modern data architectures, like Microsoft Fabric, excel in collecting and processing system-generated data. Whether transactional data, operational metrics, or system logs, these platforms are optimized to deliver analytical insights from structured sources.

Visualization 52

Visualization Dashboards Reporting Data Architecture 52