datapine

AUGUST 20, 2019

This pace suggests that 90% of the data in the world is generated over the past two years alone. A large part of this enormous growth of data is fuelled by digital economies that rely on a multitude of processes, technologies, systems, etc. Data has grown not only in terms of size but also variety. Big Data Ingestion.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. Architecture decisions have long-term effects and an important consideration when choosing a stream processing engine is whether the technology will stagnate or continue to evolve with contributions from the open source community.

Data-driven 76

Data-driven Enterprise IoT Data Warehouse 76

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

FEBRUARY 21, 2023

Business intelligence (BI) with dashboards, reports, and analytics remains one of the most popular use cases for data and analytics. To realize more value from your data, you should focus on building data visualizations that tell stories, and are easily understandable by your audience.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123

AWS Big Data

JANUARY 22, 2024

The solution Acast implemented is a data mesh, architected on AWS. The solution mirrors the organizational structure rather than an explicit architectural decision. As per the Inverse Conway Maneuver , Acast’s technology architecture displays isomorphism with the business architecture.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

Smart Data Collective

SEPTEMBER 26, 2019

A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever. Unstructured data lacks a specific format or structure. Semi-structured.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Ontotext

SEPTEMBER 15, 2020

It must not attempt to force or predict how the data is to be used but to enable that decision to be made by today’s user (and tomorrow’s) while still maintaining organization appropriate access control and security. Connecting the data in a graph allows concepts and entities to complement each other’s description.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Alation

OCTOBER 28, 2021

Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. It combines people, process, technology, and data within a system founded on transparency and compliance.

Data Governance 52

Data Governance Measurement Modeling Metrics 52