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Taking A Tour Of The Google Cloud Platform For Data And Analytics

Data Engineering Podcast

Summary Google pioneered an impressive number of the architectural underpinnings of the broader big data ecosystem. In this episode Lak Lakshmanan enumerates the variety of services that are available for building your various data processing and analytical systems. No more scripts, just SQL.

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Best Data Processing Frameworks That You Must Know

Knowledge Hut

Everything from the formulation of a Big Data strategy to the technical equipment and skills a company needs. Hadoop This open-source batch-processing framework can be used for the distributed storage and processing of big data sets. There are four main modules within Hadoop.

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Large Scale Industrialization Key to Open Source Innovation

Cloudera

The project-level innovation that brought forth products like Apache Hadoop , Apache Spark , and Apache Kafka is engineering at its finest. More recently, industry leaders have collaborated in furthering the adoption of Apache Iceberg as an industry standard for big data, adding support for it in engines such as Hive and Impala.

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Data Engineers of Netflix?—?Interview with Kevin Wylie

Netflix Tech

Kevin, what drew you to data engineering? I stumbled into data engineering rather than making an intentional career move into the field. I started my career as an application developer with basic familiarity with SQL. I was later hired into my first purely data gig where I was able to deepen my knowledge of big data.

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

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Hadoop MapReduce vs. Apache Spark Who Wins the Battle?

ProjectPro

Confused over which framework to choose for big data processing - Hadoop MapReduce vs. Apache Spark. This blog helps you understand the critical differences between two popular big data frameworks. Hadoop and Spark are popular apache projects in the big data ecosystem.

Hadoop 40
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Emerging Big Data Trends for 2023

ProjectPro

Here’s a sneak-peak into what big data leaders and CIO’s predict on the emerging big data trends for 2017. The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol.