ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

APRIL 25, 2024

Backend Programming Languages Java, Python, PHP You need to know specific programming languages to have a career path that leads you to success. Python: You cannot be a backend developer if you don't have Python skills. Django: It is open-source and is considered one of the best Python-based web frameworks.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

DECEMBER 26, 2023

It is best suited on the Python interface as the programming languages are C++ and Python. Let’s say you are working Node.js, and you need to connect to MongoDB. To be able to work with MongoDB in Node.js you need to have MongoDB driver for Node.js. Pip for Python A package manager for python.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

This is an entry-level database certification, and it is a stepping stone for other role-based data-focused certifications, like Azure Data Engineer Associate, Azure Database Administrator Associate, Azure Developer Associate, or Power BI Data Analyst Associate. Skills acquired : Core data concepts.

Database 52

Database Certification MongoDB MySQL 52

Edureka

MARCH 5, 2024

Full stack developers most frequently utilize tech stacks that combine front-end, back-end, and database technologies. Among the well-liked tech stacks are: Mean Stack: MongoDB : A NoSQL database that is adaptable and scalable for managing massive volumes of data because it stores data in a format resembling JSON.

MySQL 40

MySQL MongoDB NoSQL PostgreSQL 40

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 Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JANUARY 19, 2022

The fundamental skills apply to any data engineer, regardless of the cloud platform. 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. A data engineer should be aware of how the data landscape is changing.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

DECEMBER 19, 2023

Java, like Python or JavaScript, is a coding language that is highly in demand. Python: It is a very important language for the backend because it allows a developer to work quickly and integrate systems with minimum glitches. It does not send data to the server side, and this data will not expire depending on the time or session.

Java 98

Java Programming Language Architecture Database 98

ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

JULY 29, 2022

No matter the actual size, each cluster accommodates three functional layers — Hadoop distributed file systems for data storage, Hadoop MapReduce for processing, and Hadoop Yarn for resource management. There are also interfaces that allow you to access Hadoop, analyze data, and program for it in other languages.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. And most of this data has to be handled in real-time or near real-time.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

JULY 27, 2021

If you have an interview for a data engineer role coming up, here are some data engineer interview questions and answers based on the skillset required that you can refer to help nail your future data engineer interviews. Differentiate between relational and non-relational database management systems.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

U-Next

AUGUST 10, 2022

The essential knowledge base for Data Engineers is SQL. Without a solid understanding of SQL, you cannot administer an RDBMS (relational database management). Database Management: Understanding how to create and operate a data warehouse is a crucial skill.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

AltexSoft

MARCH 14, 2023

Databases store key information that powers a company’s product, such as user data and product data. The ones that keep only relational data in a tabular format are called SQL or relational database management systems (RDBMSs). Some popular databases are Postgres and MongoDB.

IT 59

IT Data Warehouse Data Governance Data Lake 59