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 Non-relational Database 52

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Career Cybersecurity specialists are in high demand across businesses, with cybersecurity being an ever-growing industry.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

DECEMBER 27, 2023

Data Business Analyst Experience Data Business Analysts are expected to have a minimum of 2-5 years of experience in business analysis. They should also have a minimum of 2-5 years of experience in data analysis, including the ability to research market trends and determine potential outcomes.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Knowledge Hut

NOVEMBER 27, 2023

Key Skills to Master to Become a Data Scientist 1. Programming It is the first skill to have if you want to succeed as a Data Scientist. You should be well versed in one of the programming languages; it’s better if it’s Python or R.

Data Science 97

Data Science Healthcare Machine Learning Telecommunication 97

ProjectPro

JULY 15, 2021

As per a survey, over 90% of the respondents use cloud services and platforms to carry out their business operations. From cloud computing consultants to big data architects, companies across the world are looking to hire big data and cloud experts at an unparalleled rate.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Knowledge Hut

DECEMBER 26, 2023

Let us first get a clear understanding of why Data Science is important. What is the need for Data Science? If we look at history, the data that was generated earlier was primarily structured and small in its outlook. A simple usage of Business Intelligence (BI) would be enough to analyze such datasets.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineering professionals with advanced or expert-level knowledge in Java get an annual average salary of $102,171. Similarly, professionals with a good understanding of the R programming language earn a median salary of $75,848. Businesses use Big Data technology and tools alongside several other emerging technologies.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MAY 3, 2023

Although the titles of these jobs are frequently used interchangeably, they are separate and call for different skill sets, which results in the difference of the salaries for data engineers and data analysts. A data analyst is responsible for analyzing large data sets and extracting insights from them.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Cleanse 98

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 Engineering 52

Data Engineering Data Engineer Engineering MongoDB 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. This ensures that data professionals can leverage their preferred tools in conjunction with Databricks.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Cloudera

JANUARY 3, 2018

You need a subject matter expert from the business (someone with decades of industry knowledge), a statistician, and one or more “hackers” who have the ability to use different tools and programming languages to work with the data. Many organizations start with a central group that is “loaned out” to business units.

Big Data 40

Big Data Data Architect Data Science Programming Language 40

ProjectPro

JUNE 17, 2015

Access Job Recommendation System Project with Source Code 3) Java - Average Salary $114,234 Java is a popular application programming language that has several other tech skills associated with it like Hadoop and Python. The demand for the old standby Java is at an all time high when combined with other big data technologies.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 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 AWS Relational Database 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

AltexSoft

MARCH 14, 2023

Software engineers use a technology stack — a combination of programming languages, frameworks, libraries, etc. — A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. Data use component in a modern data stack.

IT 59

IT Data Warehouse Data Governance Data Lake 59