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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 third element in the process is the connection between the data products and the collection of analytics applications to provide business results. What is a data fabric?

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Real-Time Data Ingestion: Snowflake, Snowpipe and Rockset

Rockset

Organizations that depend on data for their success and survival need robust, scalable data architecture, typically employing a data warehouse for analytics needs. Snowflake is often their cloud-native data warehouse of choice. Snowflake provides a couple of ways to load data.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

They must load the raw data into a data warehouse for this analysis. There are numerous ways to import data into a data warehouse using SQL. For instance, data engineers can easily transfer the data onto a cloud storage system and load the raw data into their data warehouse using the COPY INTO command.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. What are the main components of a big data architecture?