Remove Analytics Application Remove Data Warehouse Remove Raw Data
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An Overview of Real Time Data Warehousing on Cloudera

Cloudera

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. What is Real Time Data Warehousing?

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Demystifying Modern Data Platforms

Cloudera

A key area of focus for the symposium this year was the design and deployment of modern data platforms. The data products are packaged around the business needs and in support of the business use cases. This step requires curation, harmonization, and standardization from the raw data into the products.

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What is Data Transformation?

Grouparoo

The difference here is that warehoused data is in its raw form, with the transformation only performed on-demand following information access. Another benefit is that this approach supports optimizing the data transforming processes all analytical processing evolves. Add geolocational information to support processing.

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What Data Engineers Think About - Variety, Volume, Velocity and Real-Time Analytics

Rockset

This obviously introduces a number of problems for businesses who want to make sense of this data because it’s now arriving in a variety of formats and speeds. To solve this, businesses employ data lakes with staging areas for all new data. Volume Data platforms now almost always scale horizontally instead of vertically.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. You can pace your learning by joining data engineering courses such as the Bootcamp Data Engineer.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

Businesses will be better able to make smart decisions and achieve a competitive advantage if they can successfully integrate data from various sources using SQL. If your database is cloud-based, using SQL to clean data is far more effective than scripting languages. They must load the raw data into a data warehouse for this analysis.

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What is Data Hub: Purpose, Architecture Patterns, and Existing Solutions Overview

AltexSoft

One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. What is Data Hub?