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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).

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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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HDFS Data Encryption at Rest on Cloudera Data Platform

Cloudera

hdfs dfs -cat” on the file triggers a hadoop KMS API call to validate the “DECRYPT” access. In this article, we will provide instructions on how to install and configure a MySQL instance as a backend for Ranger KMS. Ranger KMS supports MySQL, Postgresql as well as Oracle. Run below command to install MySQL 5.7

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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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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.

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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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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Good skills in computer programming languages like R, Python, Java, C++, etc. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc., High efficiency in advanced probability and statistics.