Cloud Academy

JANUARY 27, 2022

Many of them are already familiar with SQL or have experience working with databases, whether they’re relational or non-relational. You could use a Python script to convert or replace specific characters within those fields. These fundamentals will give you a solid foundation in data and datasets.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Mining 52

ProjectPro

JANUARY 31, 2023

Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. So, if some functions are not accessible in built-in operators, we may programmatically build User Defined Functions (UDF) in other languages such as Java, Python, Ruby, and so on and embed them in Script files. may be used with it.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Rockset

JUNE 7, 2022

Editor Databases are a key architectural component of many applications and services. Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. Relational databases use tables and structured languages to store data. NET, PHP and more.

MongoDB 52

MongoDB NoSQL Relational Database Non-relational Database 52

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Knowledge Hut

SEPTEMBER 22, 2023

They may use file stores, data streams, relational databases, and non-relational databases as their data platforms. It necessitates that you possess in-depth understanding of parallel processing, data architecture patterns, and data computation languages (ideally SQL, Python, or Scala).

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

APRIL 18, 2023

Boot camps, online courses, and other training programs that teach the skills needed to become a full-stack developer, including programming languages such as HTML, CSS, and JavaScript and backend technologies such as SQL, Python, and Node.js. Fully-functional relational and non-relational database design and upkeep.

Computer Science 59

Computer Science Programming Language Java Education 59

ProjectPro

NOVEMBER 15, 2021

It even allows you to build a program that defines the data pipeline using open-source Beam SDKs (Software Development Kits) in any three programming languages: Java, Python, and Go. It uses NVIDIA CUDA primitives for basic compute optimization, while user-friendly Python interfaces exhibit GPU parallelism and great bandwidth memory speed.

Big Data 52

Big Data Project Metadata Programming Language 52

Silectis

JANUARY 3, 2021

MySQL An open-source relational databse management system with a client-server model. NoSQL A non-relational database Open Source Software that is available to freely use and modify Parquet A column-oriented data storage format that’s part of the Hadoop ecosystem.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JANUARY 19, 2022

The following are some of the essential foundational skills for data engineers- With these Data Science Projects in Python , your career is bound to reach new heights. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Learning SQL is essential to comprehend the database and its structures.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

U-Next

AUGUST 3, 2022

Programming in several languages: Data Scientists frequently employ a variety of programming languages, including Python, R, C/C, SAS, Scala, and SQL. Coding abilities: R and Python, two popular scripting languages for scientific data fields, are essential skills for a Data Scientist. Non-Technical Competencies.

Data Science 52

Data Science Retail Computer Science Entertainment 52

Knowledge Hut

JANUARY 2, 2024

Python Originating in the late 1980s as a successor to the ABC language, Python has grown exponentially in popularity and application. Beyond its simplicity, Python's power lies in its versatility. As data became the new oil, SQL solidified its importance. Platform: Database systems like MySQL, PostgreSQL, and MS SQL.

Programming Language 52

Programming Language Programming Java NoSQL 52