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Data architecture strategy for data quality

IBM Big Data Hub

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

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Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Below we’ll go over how a translation company, and specifically one that provides translations for businesses, can easily align with big data architecture to deliver better business growth. How Does Big Data Architecture Fit with a Translation Company? That’s the data source part of the big data architecture.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake

AWS Big Data

Partner Solutions Architect at AWS and has over 20 years of experience working with database and analytics products from enterprise database vendors and cloud providers. He has helped technology companies design and implement data analytics solutions and products.

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What is a Data Mesh?

DataKitchen

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. See the pattern?

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The New Normal for FP&A: Data Analytics

Jedox

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.

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Data Analytics for Crypto Casinos: Significance and Challenges

BizAcuity

Data warehousing, data integration and BI systems: The KPIs and data architecture that crypto casinos need to track alter slightly from what regular onlines casinos keep track of. The post Data Analytics for Crypto Casinos: Significance and Challenges appeared first on BizAcuity Solutions Pvt.