Remove Database Design Remove Java Remove NoSQL Remove Scala
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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase.

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Data Science Foundations & Learning Path

Knowledge Hut

Another main aspect of this position is database design (RDBMS, NoSQL, and NewSQL), data warehousing, and setting up a data lake. The Data Scientist’s Toolbox Data scientists should be proficient with such programming languages such as Python, R, SQL, Java, Julia , Apache Spark and Scala, as computer programming is a huge part.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. You can also post your work on your LinkedIn profile.

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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

This specialist supervises data engineers’ work and thus, must be closely familiar with a wide range of data-related technologies like SQL/NoSQL databases, ETL/ELT tools, and so on. Also, they must have in-depth knowledge of data processing languages like Python, Scala, or SQL.

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Types of Software Engineering Jobs in 2024

Knowledge Hut

Full-Stack Engineer Front-end and back-end database design are the domains of expertise for full-stack engineers and developers. Together with designing the end-user interface and the complex systems and databases that operate it, they can work independently to design, create, and develop a whole working web application.

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Data Scientist vs Data Engineer: Differences and Why You Need Both

AltexSoft

With that in mind, it’s not uncommon for a company to grow their own data scientists from adjacent expertises: analysts, database experts, people with coding experience in Java or C/C++ are often trained in algorithms and models to become data scientists. Let’s give a rundown of the necessary skills and what they entail. Programming.

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The Good and the Bad of Hadoop Big Data Framework

AltexSoft

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. What is Hadoop?

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