Knowledge Hut

FEBRUARY 27, 2023

Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications. It is one of the key job roles that require various technical skills, supreme communication and soft skills, and deep knowledge of multiple programming languages.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

JUNE 23, 2023

Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Some of the prominent languages supported include: Scala: Ideal for developers who want to leverage the full power of Apache Spark.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Airbnb Tech

NOVEMBER 3, 2020

We created the following groups to address these gaps: Data Engineering Forum  — Monthly all-hands meeting for data engineers intended for cascading context and gathering feedback from the broader community. Data Architect Working Group  — Composed of senior data engineers from across the company.

Data Warehouse 52

Data Warehouse Scala Data Engineering Data Engineer 52

ProjectPro

DECEMBER 21, 2021

This includes knowledge of data structures (such as stack, queue, tree, etc.), A Machine Learning professional needs to have a solid grasp on at least one programming language such as Python, C/C++, R, Java, Spark, Hadoop, etc. various algorithms (such as searching, sorting, etc.), which is one of the biggest challenges.

Machine Learning 52

Machine Learning Engineering Algorithm Data Science 52

ProjectPro

MARCH 7, 2016

Most of the big data certification initiatives come from the industry with the intent to establish equilibrium between the supply and demand for skilled big data professionals. Below are the top big data certifications that are worth paying attention to in 2016, if you are planning to get trained in a big data technology.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

JUNE 28, 2016

As the problem of storing enormous data volumes got solved, another one reared up – what to do with so much data? Data Analytics is one of the most sought after technical skills for modern day organizations. Initially developed by LinkedIn for managing their internal data, it has steadily gained popularity.

Kafka 40

Kafka Systems Hadoop Big Data 40

ProjectPro

JANUARY 31, 2023

Big Data Interview Questions and Answers Based on Job Role With the help of ProjectPro experts, we have compiled a list of interview questions on big data based on several job roles, including big data tester, big data developer, big data architect, and big data engineer. What is a UDF?

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Apache Kafka and RabbitMQ are messaging systems used in distributed computing to handle big data streams– read, write, processing, etc.

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

JULY 27, 2021

A data scientist and data engineer role require professionals with a computer science and engineering background, or a closely related field such as mathematics, statistics, or economics. A sound command over software and programming languages is important for a data scientist and a data engineer.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40