Ontotext
NOVEMBER 2, 2023
Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.
datapine
MAY 9, 2019
“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.
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Sisense
OCTOBER 6, 2020
Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine. or “how often?”
AWS Big Data
NOVEMBER 22, 2023
Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. Data lakes are designed for storing vast amounts of raw, unstructured, or semi-structured data at a low cost, and organizations share those datasets across multiple departments and teams.
Ontotext
SEPTEMBER 15, 2020
What Makes a Data Fabric? Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. This multiplicity of data leads to the growth silos, which in turns increases the cost of integration. It is a buzzword.
AWS Big Data
JANUARY 22, 2024
The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.
CIO Business Intelligence
MAY 24, 2022
To support real-time decision-making organisations need real-time data, in huge volumes. This data comes in many formats from multiple sources and multiple devices and may be stored in multiple silos. MANAGING DATA THOUGHOUT ITS LIFECYCLE. PLANNING AND EXECUTING THE DATA CLOUD MIGRATION.
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