ProjectPro

JUNE 6, 2025

So, have you been wondering what happens to all the data collected from different sources, logs on your machine, data generated from your mobile, data in databases, customer data, and so on? We can do a lot of data analysis and produce visualizations to deliver value from these data sources.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

As the amount of data grows, so does the demand for big data professionals such as data analysts, data scientists, and data architects. According to Glassdoor, the average salary for big data engineers in India is Rs 729,359/year. 3) How do I start learning big data?

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

Snowflake SnowPro Advanced: Architect Certification Image Source: learn.snowflake.com/ This certification validates proficiency in implementing comprehensive architectural solutions using Snowflake. It covers data modeling, performance optimization, security, access control, and designing scalable data pipelines.

Certification 40

Certification Data Pipeline Hadoop AWS 40

ProjectPro

JUNE 6, 2025

That's where acquiring the best big data certifications in specific big data technologies is a valuable asset that significantly enhances your chances of getting hired. Read below to determine which big data certification fits your requirements and works best for your career goals.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

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

Knowledge Hut

DECEMBER 26, 2023

Finally, apart from your academic degree and extra skills, you can also learn to channel your skills practically by taking on small projects such as creating an app, writing blogs, or even exploring data analysis to gather more information. What is the difference between Data Science, Data Analysis, and Data Engineering?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

JUNE 6, 2025

Loan Eligibility Prediction Project This intermediate-level project will teach you machine learning aspects such as feature engineering , performing in-depth exploratory data analysis, etc. On the other hand, Data Science experts can work as Data Scientists, Data Analysts, Data Administrators, Data Architects, etc.

Machine Learning 49

Machine Learning Engineering Algorithm Programming Language 49

ProjectPro

JUNE 6, 2025

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.

Big Data 40

Big Data Hadoop Relational Database AWS 40

Knowledge Hut

MAY 23, 2024

Roles: A Data Scientist is often referred to as the data architect, whereas a Full Stack Developer is responsible for building the entire stack. The main difference between these two roles is that a Data Scientist has tremendous expertise in data analysis and knows how to analyze data.

Java 98

Java Computer Science Data Science Certification 98

ProjectPro

JUNE 6, 2025

Businesses employ data scientists, analytical frameworks, datasets , and various tools and techniques to leverage vast amounts of data for their profit. The Bureau of Labor Statistics (BLS) predicts that between 2018 and 2028, demand for data analysts will increase by 26%.

Consulting 40

Consulting Healthcare Programming Language BI 40

ProjectPro

JUNE 6, 2025

The increasing demand for certifications in big data is a direct result of the popularity of AWS services among big data experts and the growing requirement for skilled professionals capable of leveraging big data technology. In this blog, we will dive deep into the details of AWS Big Data Certification.

Big Data 40

Big Data AWS Certification Hadoop 40

Knowledge Hut

JULY 4, 2023

This blog lists some of the most lucrative positions for aspiring data analysts. Among the highest-paying roles in this field are Data Architects, Data Scientists, Database Administrators, and Data Engineers. Roles and Responsibilities of Data Engineer Analyze and organize raw data.

Data Analytics 52

Data Analytics Data Architect Transportation Consulting 52

ProjectPro

JUNE 6, 2025

Hadoop is also one of the most in-demand skills as it helps data scientists store and creates high-quality reference data that is used to train analytical models. 49% of data science job postings mention Hadoop as a must-have skill for a data scientist. R is the language of choice for doing data analysis.

Hadoop 40

Hadoop Data Science Computer Science Java 40

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. Python for Data Analysis This book will come in handy if you want to learn Python programming for Data Analysis. You will see what I mean when you will use Jupyter.

Data Science 97

Data Science Healthcare Telecommunication Machine Learning 97

Knowledge Hut

DECEMBER 29, 2023

There are several interrelated professions in the data mining industry, including business analyst and statistician. Learning Outcomes: This data concentration will provide you a solid grounding in mathematics and statistics as well as extensive experience with computing and data analysis.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JUNE 6, 2025

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 40

Big Data Data Engineering Data Engineer Engineering 40

Knowledge Hut

MAY 9, 2024

While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

JUNE 26, 2023

If you want to break into the field of data engineering but don't yet have any expertise in the field, compiling a portfolio of data engineering projects may help. Data pipeline best practices should be shown in these initiatives. If data scientists and analysts are pilots, data engineers are aircraft manufacturers.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. It supports a variety of query languages, including the industry-standard SQL, as well as popular data analysis languages like Python and R.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

DECEMBER 27, 2023

Business analysts have a wide range of responsibilities, including data analysis, report writing, and business process improvement (BPI). Knowledge: The manager must be familiar with business analysis tools, methodologies, and processes for conducting practical data analysis.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

U-Next

JULY 4, 2022

A Data Scientist should have some important skills, including applying mathematics, using many tools for data mining and integration, extracting data using Artificial Intelligence, etc. A data scientist’s salary may range between Rs. Data Analysts. Data analysis is an entry-level position for Data Scientist.

Data Science 40

Data Science Data Architect Data Mining Recruitment 40

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is a professional who is responsible for designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy the business needs of an organization.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Knowledge Hut

DECEMBER 21, 2023

A recognized degree in the related field Proficiency in cloud technologies such as AWS, Azure, Google Cloud, Hadoop, Spark, and Kafka Excellent communication, strong analytical and problem-solving skills Cloud Data Engineers can earn an average salary of $125,000 per year 5.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

MARCH 28, 2024

Salary (Average ) $136,264 / year (Source: Wellfound) Top Companies Hiring Microsoft, Amazon, Accenture Certifications Microsoft Certified: Azure Data Engineer Associate Job Role 2: Azure Data Architect Azure Data Architects design and implement end-to-end data solutions on the Microsoft Azure platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JUNE 6, 2025

A foundational knowledge of Azure data services, data definition language (DDL), data manipulation language (DML), and fundamental RDBMS principles like views, schema, and queries, will be highly beneficial. It guides you through various big data engineering methods using Microsoft Azure Data Services.

Certification 45

Certification Google Cloud Data Lake SQL 45

AltexSoft

MAY 12, 2023

This article delves into the realm of unstructured data, highlighting its importance, and providing practical guidance on extracting valuable insights from this often-overlooked resource. We will discuss the different data types, storage and management options, and various techniques and tools for unstructured data analysis.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

NOVEMBER 19, 2023

How to become: Get a degree in computer science or any other related field, master big data technologies such as HD and SRK, and be involved in real-world data projects. Job Titles That Follow: Positions like Big Data Engineer, Data Architect, Data Scientist etc.

Programming Language 52

Programming Language Computer Science Machine Learning Business Intelligence 52

Knowledge Hut

JULY 26, 2023

From data architects to database administrators, we'll explore the skills, qualifications, and earning potential of each role, giving you the insights and information you need to make informed decisions about your career path. But choosing the right database career is vital to growing your career effectively.

Database 52

Database MySQL Certification SQL 52

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 Recruitment Healthcare 52

ProjectPro

SEPTEMBER 3, 2018

In 2017, Gartner announced that organizations were spending close to $800 million on Hadoop distributions , even though only 14% of companies reported that they were relying on hadoop technology.However, several studies have revealed that the adoption and spending on hadoop technology continues to rise high through last year.Dice analysis demonstrates (..)

Hadoop 40

Hadoop Banking Retail Telecommunication 40

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business.

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

DECEMBER 21, 2021

Loan Eligibility Prediction Project This intermediate-level project will teach you machine learning aspects such as feature engineering , performing in-depth exploratory data analysis, etc. On the other hand, Data Science experts can work as Data Scientists, Data Analysts, Data Administrators, Data Architects, etc.

Machine Learning 52

Machine Learning Engineering Algorithm Programming Language 52

ProjectPro

JUNE 28, 2016

Apache Kafka captures all this data and makes it available to enterprise users in real time. This blog post will explore why Apache Kafka was developed, what does it do and what makes Kafka so popular with Big Data analysis. Now that Big Data has been around for years, we have a number of options to store it.

Kafka 40

Kafka Systems Hadoop BI 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.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

FEBRUARY 24, 2016

Hadoop is also one of the most in-demand skills as it helps data scientists store and creates high-quality reference data that is used to train analytical models. 49% of data science job postings mention Hadoop as a must-have skill for a data scientist. R is the language of choice for doing data analysis.

Hadoop 40

Hadoop Data Science Computer Science Java 40

ProjectPro

JUNE 6, 2025

Data Storage- Exploring various data storage options, including Azure SQL Database, Azure Cosmos DB , Azure Blob Storage , and Azure Data Lake Storage. Data Processing- Learning about data processing technologies, such as Azure Data Factory , Azure Databricks , and Azure Stream Analytics.

Certification 40

Certification Cloud Cloud Computing SQL 40

Monte Carlo

NOVEMBER 21, 2022

That’s a pretty fundamental change and it implies they’re going to be 250 million people looking for a next generation data analysis tool that does something like Excel, but in a superior way. The answer was 5% of people who use Excel today write Python, but in five years, it’ll be 50%.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52