ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. You will learn to create a Big Data pipeline using Azure Data Factory.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

ProjectPro

DECEMBER 7, 2021

What is a Big Data Pipeline? Data pipelines have evolved to manage big data, just like many other elements of data architecture. Big data pipelines are data pipelines designed to support one or more of the three characteristics of big data (volume, variety, and velocity).

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

JANUARY 31, 2023

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Steps for Data preparation.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

MARCH 5, 2024

Singapore has a thriving technical market that has been on the lookout for data engineers. Top MNCs in Singapore are hiring Data Engineers and offering exciting salary packages. Data engineers also analyze the kind of data that should be retrieved and stored.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

Knowledge Hut

JULY 4, 2023

Data Engineer They do the job of finding trends and abnormalities in data sets. They create their own algorithms to modify data to gain more insightful knowledge. Programming languages like Python and SQL that deal with data structures are essential for this position. There is a demand for data analysts worldwide.

Data Analytics 52

Data Analytics Data Architect Transportation Data Science 52

Databand.ai

DECEMBER 13, 2022

Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS). He also shares thoughts and advice regularly on LinkedIn, centered around topics like SQL, data engineering, careers, and interviews.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

NOVEMBER 14, 2015

Hadoop ecosystem has a very desirable ability to blend with popular programming and scripting platforms such as SQL, Java , Python, and the like which makes migration projects easier to execute. From Data Engineering Fundamentals to full hands-on example projects , check out data engineering projects by ProjectPro 2.

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

APRIL 20, 2017

The collection of these projects on Hadoop and Spark will help professionals master the big data and Hadoop ecosystem concepts learnt during their hadoop training. “What are some interesting beginner level big data hadoop projects that I can work on to build my project portfolio?

Hadoop 40

Hadoop Big Data Coding Project 40