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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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Beyond Data-Driven: How Today’s Leading Retailers Are Leveraging Insights to Sell Better

Snowflake

In a recent webinar, Snowflake and Seek, a Snowflake Elite Partner, discussed how their customers are using data and insights to tackle these economic challenges. The Seek Insight Cloud is a cloud-native platform that helps organizations discover insights at scale through turnkey analytics applications.

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How To Use the Pivot Table in Excel ?

U-Next

While working with more complex data, Excel allows users to adjust the fields and functions that perform computations. Excel has a variety of new tools, like the Pivot tables, that help improve analytical applications. Raw data is complex, and it can occasionally contain missing information.

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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

Your SQL skills as a data engineer are crucial for data modeling and analytics tasks. Making data accessible for querying is a common task for data engineers. Collecting the raw data, cleaning it, modeling it, and letting their end users access the clean data are all part of this process.

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

The company targets to deliver values to its customers through the free SaaS based analytics applications so that it can build credibility with the clients to encourage them to buy more.

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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.