Knowledge Hut

APRIL 20, 2023

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. Once this knowledge is applied, the data is cleaned and organized using techniques such as data analysis, feature engineering, and machine learning to make it usable and reliable.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

NOVEMBER 27, 2023

Learn Data Analysis with Python Now that you know how to code in Python start picking toy datasets to perform analysis using Python. 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.

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

Knowledge Hut

MAY 3, 2023

A data analyst is responsible for analyzing large data sets and extracting insights from them. They use statistical analysis tools and programming languages to identify patterns, trends, and insights. The difference between a data analyst and a data engineer lies in their focus areas and skill sets.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Cleanse 98

ProjectPro

SEPTEMBER 26, 2021

Senior Big Data Engineer Salary, The average salary of a Big Data Engineer with over 8 to 10 years of experience is around $120K. The senior-level roles require expert knowledge and skills in complex data analysis and programming. It can go up to $170K annually as per the skill-set and expertise.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

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. Language Compatibility: Flexibility is a hallmark of Azure Synapse. Python: Widely used for data analysis, scripting, and machine learning.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

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

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

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. This promotes data literacy and allows more individuals to make data-driven decisions.

IT 59

IT Data Warehouse Data Governance Data Lake 59