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Data News — Week 24.08

Christophe Blefari

Spark future — I'm convinced that Apache Spark will have to transform itself if it is not to disappear (disappear in the sense of Hadoop, still present but niche). Is it Java/Scala or Python? Neurelo raises $5m seed to provide HTTP APIs on top of databases (PostgreSQL, MongoDB and MySQL). Is it DataFrames or SQL?

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Python for Data Engineering

Ascend.io

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential. show() So How Much Python Is Required for a Data Engineer?

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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

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Solving Data Lineage Tracking And Data Discovery At WeWork

Data Engineering Podcast

What are the benefits of using PostgreSQL as the system of record for Marquez? What are the benefits of using PostgreSQL as the system of record for Marquez? Can you explain how Marquez is architected and how the design has evolved since you first began working on it? How is the metadata itself stored and managed in Marquez?

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5 reasons why Business Intelligence Professionals Should Learn Hadoop

ProjectPro

The toughest challenges in business intelligence today can be addressed by Hadoop through multi-structured data and advanced big data analytics. Big data technologies like Hadoop have become a complement to various conventional BI products and services. Big data, multi-structured data, and advanced analytics.

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. 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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12 Must-Have Skills for Data Analysts

Knowledge Hut

Data modeling and database management: Data analysts must be familiar with DBMS like MySQL, Oracle, and PostgreSQL as well as data modeling software like ERwin and Visio. This procedure can be sped up with the aid of programmes like Open Refine and Trifacta.