Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. Knowledge Graphs are the Warp and Weft of a Data Fabric.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. It connects to more than 70 data sources and helps you build extract, transform, and load (ETL) pipelines without having to manage pipeline infrastructure.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 104

Management Advertising Data Lake Sales 104

CIO Business Intelligence

JUNE 9, 2022

Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein. It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending.

Management 143

Management Advertising Data Lake Sales 143

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Octopai

JANUARY 31, 2021

Through the use of data lineage, companies can better understand their data and its journey. Incorporating data lineage into an organization’s strategy can make a huge difference when it comes to making accurate business decisions and having a handle on the information they already possess. Agile Data. Agile Data.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

CIO Business Intelligence

APRIL 27, 2022

All are ideally qualified to help their customers achieve and maintain the highest standards for data integrity, including absolute control over data access, transparency and visibility into the provider’s operation, the knowledge that their information is managed appropriately, and access to VMware’s growing ecosystem of sovereign cloud solutions.

Digital Transformation 109

Digital Transformation Metadata Risk Management 109

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants.

Metadata 86

Metadata Data Lake Optimization Strategy 86

AWS Big Data

JULY 20, 2023

The system ingests data from various sources such as cloud resources, cloud activity logs, and API access logs, and processes billions of messages, resulting in terabytes of data daily. This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK).

Data Lake 90

Data Lake Analytics Snapshot Optimization 90

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco.

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

AWS Big Data

FEBRUARY 2, 2023

Since its launch in 2006, Amazon Simple Storage Service (Amazon S3) has experienced major growth, supporting multiple use cases such as hosting websites, creating data lakes, serving as object storage for consumer applications, storing logs, and archiving data. For Report path prefix , enter cur-data/account-cur-daily.

Reporting 89

Reporting Data Lake Management Optimization 89

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Those days are long gone if they ever existed.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. This insight is then made available to other uses such as application integration, governance, analytics and so on. So in summary they are very similar concepts but data fabric seems to be the more rounded of the two.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Jet Global

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52