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Upgrade your Modern Data Stack

Christophe Blefari

The era of Big Data was characterised by Hadoop, HDFS, distributed computing (Spark), above the JVM. That's why big data technologies got swooshed by the modern data stack when it arrived on the market—excepting Spark. We need to store, process and visualise data, everything else is just marketing.

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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

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Top Data Lake Vendors (Quick Reference Guide)

Monte Carlo

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. With our new partnership and updated integration, Monte Carlo provides full, end-to-end coverage across data lake and lakehouse environments powered by Databricks.

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Microsoft Azure: Benefits, Use Cases

Knowledge Hut

Nowadays, the adoption of cloud computing solutions has become the norm for most companies. It allows them to seamlessly manage their data, build and deploy applications and enhance the overall performance of their business. Microsoft Azure is a leading global public cloud computing platform. What is Microsoft Azure?

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. You can’t just keep it in SQL databases, unlike structured data.

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15+ Best Data Engineering Tools to Explore in 2023

Knowledge Hut

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

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Azure Data Engineer Skills – Strategies for Optimization

Edureka

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.