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

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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” ” If you are thinking this, then it is a very foolish stance to take where your career is concerned.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Knowledge Hut

DECEMBER 21, 2023

As a data engineer, a strong understanding of programming, databases, and data processing is necessary. Key education and technical skills include: A degree in computer science, information technology, or a related field Expert in programming languages Python, Java, and SQL. Knowledge of Hadoop, Spark, and Kafka.

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

Knowledge Hut

MARCH 13, 2024

It is often said that big data engineers should have both depth and width in their knowledge. Technical expertise: Big data engineers should be thorough in their knowledge of technical fields such as programming languages, such as Java and Python, database management tools like SQL, frameworks like Hadoop, and machine learning.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Knowledge Hut

MARCH 13, 2024

It is often said that big data engineers should have both depth and width in their knowledge. Technical expertise Big data engineers should be thorough in their knowledge of technical fields such as programming languages, such as Java and Python, database management tools like SQL, frameworks like Hadoop, and machine learning.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

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 Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 52

Knowledge Hut

OCTOBER 8, 2023

Programming/Scripting Languages SQL: A programming language for storing and processing information. Python: Another high-level programming language. Data engineers use this for tasks like automation, data manipulation, and scripting. Plus, you work on innovative data engineering solutions.

AWS 52

AWS Data Engineer Data Engineering Engineering 52

Knowledge Hut

JULY 27, 2023

An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer. They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python. A Master's or Ph.D.

Hadoop 52

Hadoop Programming Language Banking Big Data 52

ProjectPro

FEBRUARY 24, 2016

Data science involves cleaning, preparing, and enriching data- Python has a great toolset for this. Python programming language helps data scientists get data into a form to be analyzed. 39% of the job postings on LinkedIn mention Python as a critical skill for data scientists. PREVIOUS NEXT <

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40