AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JUNE 6, 2025

Embarking on the journey of big data opens up a world of amazing career opportunities that can make a difference in people's lives. 2023 is the best time to explore this exciting field by pursuing the top big data certifications. Table of Contents Why Should You Acquire a Big Data Certification?

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

Similarly, companies with vast reserves of datasets and planning to leverage them must figure out how they will retrieve that data from the reserves. A data engineer a technical job role that falls under the umbrella of jobs related to big data. Experience with tools like Snowflake is considered a bonus.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

MongoDB Inc offers an amazing database technology that is utilized mainly for storing data in key-value pairs. It proposes a simple NoSQL model for storing vast data types, including string, geospatial , binary, arrays, etc. For example, C, C++, Go, Java, Node, Python, Rust, Scala , Swift, etc.

MongoDB 66

MongoDB Coding Project NoSQL 66

ProjectPro

JUNE 6, 2025

Apache Hive and Apache Spark are the two popular Big Data tools available for complex data processing. To effectively utilize the Big Data tools, it is essential to understand the features and capabilities of the tools. Begin Your Big Data Journey with ProjectPro's Project-Based PySpark Online Course !

Hadoop 45

Hadoop Java Big Data Tools SQL 45

ProjectPro

JUNE 6, 2025

The responsibility of a data engineer is not only to obtain data from different sources but also to process it. One of the most popular data process engines is Apache Spark which works with Python DataFrames and even offers an API, PySpark , to build scalable big data projects. It is not as fast as Java.

Data Engineer 40

Data Engineer Data Engineering Python Engineering 40

ProjectPro

JUNE 6, 2025

Read this blog to know how various data-specific roles, such as data engineer, data scientist, etc., differ from ETL developer and the additional skills you need to transition from ETL developer to data engineer job roles. Data analysis and visualization have traditionally been a common goal for businesses.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Recommended Reading: Data Scientist Salary-The Ultimate Guide for 2021 Data Analyst Data Analysts are responsible for collecting massive amounts of data, preparing, transforming, managing, processing, and visualizing the data for business growth. Deep expertise in technologies like Python, Java, SQL, Scala, or C++.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

With the global data volume projected to surge from 120 zettabytes in 2023 to 181 zettabytes by 2025, PySpark's popularity is soaring as it is an essential tool for efficient large scale data processing and analyzing vast datasets. The core engine for large-scale distributed and parallel data processing is SparkCore.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Data Engineering is the secret sauce to advances in data analysis and data science that we see nowadays. Data Engineering Roles - Who Handles What? As we can see, it turns out that the data engineering role requires a vast knowledge of different big data tools and technologies.

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

million, Amazon heavily relies on data engineers for its success. With a 30% year-over-year increase in hiring data engineers, Amazon underscores its commitment to leveraging big data effectively. If you aspire to excel in the Amazon Data Engineer interview, your search ends here.

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

Looking for the best ETL tool in the market for your big data projects ? Explore Talend’s various data integration products, and architecture in-depth to become a Talend professional in 2022. Why Use Talend ETL Tool For Big Data Projects? Why Use Talend ETL Tool For Big Data Projects?

ETL Tools 45

ETL Tools Big Data Java Metadata 45

ProjectPro

JUNE 6, 2025

Collaborate with leadership and senior management to develop and implement a data strategy to help the organization reach its goals and objectives. Gain expertise in big data tools and frameworks with exciting big data projects for students. Data Modeling Another crucial skill for a data architect is data modeling.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

After the data engineer formats data in a way that makes it easy to extract, data analysts and data scientists can easily query this data and build machine learning algorithms. They should be familiar with programming languages like Python, Java, and C++.

Engineering 75

Engineering Software Engineering Deep Learning Software Engineer 75

Monte Carlo

OCTOBER 31, 2024

Both traditional and AI data engineers should be fluent in SQL for managing structured data, but AI data engineers should be proficient in NoSQL databases as well for unstructured data management.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

ProjectPro

JUNE 6, 2025

In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003. Little did anyone know, that this research paper would change, how we perceive and process data. Without much ado, let’s begin with Hadoop explained in detail.

Hadoop 45

Hadoop IT Big Data Retail 45

ProjectPro

JUNE 6, 2025

A good place to start would be to try the Snowflake Real Time Data Warehouse Project for Beginners from the ProjectPro repository. ProjectPro has solved end-to-end Hadoop projects to help you kickstart your Big Data career. 2) Database Management A database management system is the foundation of any data infrastructure.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment.

ETL Tools 40

ETL Tools Hadoop Relational Database Unstructured Data 40

Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

Certification 98

Certification Programming MongoDB MySQL 98

ProjectPro

JUNE 6, 2025

Data modeling is a crucial skill for every big data professional, but it can be challenging to master. So, if you are preparing for a data modelling interview, you have landed on the right page. We have compiled the top 50 data modelling interview questions and answers from beginner to advanced levels.

Data Warehouse 53

Data Warehouse NoSQL PostgreSQL Relational Database 53

ProjectPro

JUNE 6, 2025

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

Data engineering entails creating and developing data collection, storage, and analysis systems. Data engineers create systems that gather, analyze, and transform raw data into useful information. Data engineers play a significant role in the big data industry and are in high demand.

Data Engineer 40

Data Engineer Data Engineering Recruitment Engineering 40

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

MAY 29, 2015

Professionals looking for a richly rewarded career, Hadoop is the big data technology to master now. As organizations struggle to make sense of their big data, they are willing to pay premium pay packages for competent big data professionals. Big Data engineers can anticipate a 9.3

Hadoop 52

Hadoop Big Data Banking NoSQL 52

ProjectPro

JUNE 6, 2025

In 2024, the data engineering job market is flourishing, with roles like database administrators and architects projected to grow by 8% and salaries averaging $153,000 annually in the US (as per Glassdoor ). These trends underscore the growing demand and significance of data engineering in driving innovation across industries.

Data Engineer 59

Data Engineer Data Engineering Project Engineering 59

Knowledge Hut

DECEMBER 27, 2023

Accessing and storing huge data volumes for analytics was going on for a long time. But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. What is Big Data? Some examples of Big Data: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

AUGUST 6, 2015

Let’s take a look at how Amazon uses Big Data- Amazon has approximately 1 million hadoop clusters to support their risk management, affiliate network, website updates, machine learning systems and more. Amazon is collecting intelligence and valuable pricing information (big data) from its competitors.

Big Data 52

Big Data Insurance Hadoop Media 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! Everything is about data these days.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

SEPTEMBER 26, 2021

The Big Data industry will be $77 billion worth by 2023. According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer?

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

ProjectPro

JUNE 6, 2025

This will open up several hadoop job opportunities for individuals trained and certified in big data Hadoop technology. Organizations are struggling hard to hire competent hadoop talent as they want to be assured that the people they hire have the ability to handle huge amounts of data effectively to derive business insights.

Hadoop 40

Hadoop Certification IT Big Data 40

ProjectPro

JUNE 6, 2025

Building data storage and computing architecture locally were getting more expensive during the advent of Big Data technologies. Big data analytics - Big data and Cloud technologies go hand in hand and essentially make systems faster, scalable, failsafe, high-performance, and cheaper.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

Zalando Engineering

JUNE 21, 2016

Java programming roles need to cover a lot of ground when it comes to knowledge and processes. We’ve put together a list of essential points that developers should be familiar with when applying for a Java development position. You’ll want to use functional idioms, but don’t overuse them: Java is not a functional language.

Java 40

Java NoSQL Programming Language Kafka 40

Knowledge Hut

DECEMBER 26, 2023

Certain roles like Data Scientists require a good knowledge of coding compared to other roles. Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

Knowledge Hut

JANUARY 18, 2024

Data science focuses on extracting value from data to improve business processes and decision-making. You can also check the data science Bootcamp cost. How do I get started in Data Science? Data science is a hot topic these days. As a result, Java is the best coding language for data science.

Programming Language 98

Programming Language Data Science Programming Scala 98

Knowledge Hut

MARCH 27, 2024

You can check out the Big Data Certification Online to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. To get your business in the direction you want, you need to choose the right tools for big data analysis based on your business goals, needs, and variety.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

JUNE 6, 2025

Google Cloud Functions support only Node.js, while AWS Lambda functions support many languages, including Java, C, python, etc. On the other hand, GCP Dataflow is a fully managed data processing service for batch and streaming big data processing.

AWS 49

AWS Amazon Web Services Google Cloud Cloud Storage 49

ProjectPro

JUNE 17, 2015

3 out of 5 highest paid jobs require big data and cloud computing skills. For professionals aiming to earn biggest bucks in the fastest growing industry, they need to become big data experts. People who know how to handle, process and analyse big data can be assured to get the heaviest paychecks in 2015.Here

Cloud Computing 40

Cloud Computing Big Data Cloud R (Programming) 40