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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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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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Data Engineer Learning Path, Career Track & Roadmap for 2023

ProjectPro

Good skills in computer programming languages like R, Python, Java, C++, etc. Ability to demonstrate expertise in database management systems. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Below, we mention a few popular databases and the different softwares used for them.

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Power BI vs Tableau: Which Data Visualization Tool is Right for You?

Knowledge Hut

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

AltexSoft

First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. It is developed in Java and built upon the highly reputable Apache Lucene library. Fields in these documents are defined and governed by mappings akin to a schema in a relational database.

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What Is AWS (Amazon Web Services): Its Uses and Services

Knowledge Hut

For data management Through its Amazon Relational Database service, AWS is able to provide managed database services. In this, there are options for SQL Server, Oracle, MariaDB, MySQL, PostgreSQL, and Amazon Aurora. It also offers NoSQL databases with the help of Amazon DynamoDB.