Remove Big Data Remove Data Processing Remove Risk Remove Structured Data
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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

The big data market is expected to be worth $189 billion by the end of this year. 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. Structured. Semi-structured.

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Introduction To The Basic Business Intelligence Concepts

datapine

“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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Quantitative and Qualitative Data: A Vital Combination

Sisense

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?”

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Data, data everywhere: why you need an enterprise data platform

CIO Business Intelligence

Organisations are increasingly migrating their data to public cloud services to underpin their enterprise data platform. Unless properly executed such a migration can result in spiralling cloud charges, unexpected security and governance risks, and performance issues. THE CLOUDERA DATA PLATFORM & CDP PUBLIC CLOUD.

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Migrate a petabyte-scale data warehouse from Actian Vectorwise to Amazon Redshift

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The system had an integration with legacy backend services that were all hosted on premises.

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Design a data mesh on AWS that reflects the envisioned organization

AWS Big Data

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. For Acast’s use case, granular row- or column-level access controls weren’t needed, so the approach sufficed.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Enrichment typically involves adding demographic, behavioral, and geolocation data. You can use third-party data products from AWS Marketplace delivered through AWS Data Exchange to gain insights on income, consumption patterns, credit risk scores, and many more dimensions to further refine the customer experience.