ProjectPro

JUNE 6, 2025

As a Data Engineer, you will extensively use ETL in maintaining the data pipelines. You should have an understanding of the process and the tools. Programming Skills: The choice of the programming language may differ from one application/organization to the other. from tons of free online resources.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

Still, he will not be able to proceed with making a connector for XML format, assuming he does not know programming languages and the ETL tool doesn't allow plugins. Big Data Data engineers must focus on managing data lakes, processing large amounts of big data, and creating extensive data integration pipelines.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

TensorFlow) Strong communication and presentation skills Data Scientist Salary According to the Payscale, Data Scientists earn an average of $97,680. Creating dashboards and tools for business users based on analysis by data analysts and data scientists. Collaborating with IT and business teams.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Through this experience, you can develop a deeper understanding of the tool, learn best practices, and build a portfolio of AWS DevOps projects that showcase your skills to potential employers. Become An Expert In Big Data Tools And Frameworks With Real-World Big Data Projects by ProjectPro!

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

Add Data Engineer Skills and Expertise There are two categories of skills you should mention in a resume- Hard/Technical Skills Soft Skills Hard/technical skills are your domain-specific skills and knowledge. Portfolios are a great way to help the employer understand your capabilities.

Data Engineering 40

Data Engineering Data Engineer Recruitment Building 40

ProjectPro

JUNE 6, 2025

Introduction to Big Data Big data combines structured, semi-structured, and unstructured data collected by organizations to glean valuable insights and information using machine learning, predictive modeling , and other advanced analytical applications.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a big data tool. How Does AWS Glue Work?

AWS 66

AWS Scala Metadata Data Lake 66

ProjectPro

JUNE 6, 2025

Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Programming Skills You must learn programming to design, deploy, and manage cloud applications quickly. A cloud computing project portfolio is significant for beginner-level job seekers.

Cloud 40

Cloud Engineering Cloud Computing Google Cloud 40

ProjectPro

JUNE 6, 2025

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

Big Data 40

Big Data Data Process Process Kafka 40

ProjectPro

JUNE 6, 2025

Table of Contents What makes easier to program in Apache Pig than Hadoop MapReduce? Modes of Execution for Apache Pig Frequently Asked Apache Pig Interview Questions and Answers Before the advent of Apache Pig, the only way to process huge volumes of data stores on HDFS was - Java based MapReduce programming.

Hadoop 40

Hadoop Java SQL Big Data 40

ProjectPro

JUNE 6, 2025

Data purging differs from data deletion in that it permanently deletes the data, whereas data deletion only eliminates it temporarily. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples. Define snapshot concerning data warehousing.

Data Warehouse 40

Data Warehouse Data Mining Recruitment Database 40

ProjectPro

JUNE 6, 2025

It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023. Data science involves cleaning, preparing, and enriching data- Python has a great toolset for this.

Hadoop 40

Hadoop Data Science Computer Science Java 40

ProjectPro

JUNE 6, 2025

The end of a data block points to the location of the next chunk of data blocks. DataNodes store data blocks, whereas NameNodes store these data blocks. Learn more about Big Data Tools and Technologies with Innovative and Exciting Big Data Projects Examples.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

Strong programming skills. Experience with Big data tools like Hadoop, Spark, etc. Go through the repository of solved end-to-end projects on Data Science and projects on Big Data to know more. No, if one has learned the right set of skills, data science will not be a hard job for them.

Data Science 49

Data Science Consulting Machine Learning Software Engineering 49

ProjectPro

JUNE 6, 2025

You will learn how to use Exploratory Data Analysis (EDA) tools and implement different machine learning algorithms like Neural Networks, Support Vector Machines, and Random Forest in R programming language. A senior business analyst is often expected to possess knowledge of Big Data tools.

Business Analyst 75

Business Analyst Project Retail Banking 75

ProjectPro

JUNE 6, 2025

OTP Bank Romania, part of the OTP Bank Group, implements predictive analytics to govern the quality of loan issuances, yield more precise business and risk forecasts, and meet profit goals for the bank's credit portfolios. Gain expertise in big data tools and frameworks with exciting big data projects for students.

Data Mining 45

Data Mining Banking Retail Healthcare 45

ProjectPro

JUNE 6, 2025

Even if a node fails and they are lost on one node due to program error, machine error, or even due to software upgrades, then there is a replica present on another node that can be recovered. Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. FAQs on Kafka Interview Questions 1.

Kafka 45

Kafka Bytes Big Data Java 45

ProjectPro

JUNE 6, 2025

This way, the activity can be performed in the region closest to the target data stores or compute Services in the most performant way while meeting security (no publicly exposing data) and compliance needs. Data Flows: These are objects you build visually in Data Factory, which transform data at scale on backend Spark services.

Data Lake 60

Data Lake Metadata SQL Datasets 60

ProjectPro

JUNE 6, 2025

Furthermore, you will find a few sections on data engineer interview questions commonly asked in various companies leveraging the power of big data and data engineering. 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

ProjectPro

JANUARY 20, 2016

It is very difficult to master every tool, technology or programming language. People from any technology domain or programming background can learn Hadoop. Thus, Hive was developed at Facebook to help people with SQL skills who don’t have any Java programming knowledge, to query the data against Hadoop for analysis.

Hadoop 52

Hadoop SQL Java BI 52

ProjectPro

SEPTEMBER 26, 2021

As a Data Engineer, you will extensively use ETL in maintaining the data pipelines. You should have an understanding of the process and the tools. Programming Skills: The choice of the programming language may differ from one application/organization to the other. from tons of free online resources.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Also, explore other alternatives like Apache Hadoop and Spark RDD.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JUNE 23, 2023

Let us understand here the complete big data engineer roadmap to lead a successful Data Engineering Learning Path. Career Learning Path for Data Engineer You must have the right problem-solving and programming data engineer skills to establish a successful and rewarding Big Data Engineer learning path.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

JUNE 6, 2025

Besides these, it is essential to remember that cloud computing is a bonus skill as you can use your existing skills to build projects like Java cloud computing projects, Android cloud computing projects, cloud computing projects in PHP, or any other popular programming language. Install different big data tools on the VM.

Cloud Computing 40

Cloud Computing Cloud Project Google Cloud 40

ProjectPro

JANUARY 19, 2022

Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines. Data Engineering Requirements Here is a list of skills needed to become a data engineer: Highly skilled at graduation-level mathematics. The list does not end here.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving Abilities: Many certification courses provide projects and assessments which require hands-on practice of big data tools which enhances your problem solving capabilities. Networking Opportunities: While pursuing big data certification course you are likely to interact with trainers and other data professionals.

Big Data 52

Big Data Certification Hadoop Generalist 52

Knowledge Hut

NOVEMBER 2, 2023

Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow. Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JULY 27, 2023

This article will examine the variables affecting Hadoop salary, highlight the typical wage ranges, and offer insightful advice for both newcomers and seasoned experts looking to enter the lucrative industry of big data Hadoop programming. You can opt for Big Data training online to learn about Hadoop and big data.

Hadoop 52

Hadoop Banking Programming Language Scala 52

ProjectPro

NOVEMBER 24, 2021

Strong programming skills. Experience with Big data tools like Hadoop, Spark, etc. Go through the repository of solved end-to-end projects on Data Science and projects on Big Data to know more. No, if one has learned the right set of skills, data science will not be a hard job for them.

Data Science 52

Data Science Consulting Machine Learning Software Engineering 52

ProjectPro

JUNE 6, 2025

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Knowledge Hut

DECEMBER 13, 2023

HData Systems is a data science company that offers services to help businesses improve their performance and productivity via the use of analytical methods. Hyperlink Infosystem As a trustworthy provider of data science services, Hyperlink InfoSystem enables businesses to develop and carry out well-thought-out big data programs.

Big Data 52

Big Data Consulting Amazon Web Services Hadoop 52

ProjectPro

MARCH 7, 2016

If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Why use PySpark?

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

JANUARY 19, 2022

Azure Data Engineers Jobs - The Demand Azure Data Engineer Salary Azure Data Engineer Skills What does an Azure Data Engineer Do? Data is an organization's most valuable asset, so ensuring it can be accessed quickly and securely should be a primary concern. This is where the Azure Data Engineer enters the picture.

Data Engineering 52

Data Engineering Data Engineer Engineering Certification 52

ProjectPro

FEBRUARY 24, 2016

It is known that machine learning ( deep learning , NLP , clustering techniques), python programming , and statistics are the must-have skills for data scientists in 2023. Data science involves cleaning, preparing, and enriching data- Python has a great toolset for this.

Hadoop 40

Hadoop Data Science Computer Science Java 40

Knowledge Hut

SEPTEMBER 25, 2023

Others may originate from data analytics software providers, where the certification typically attests to your proficiency with the company's analytics technology. Typically, certification programs include a brief training period that can be completed online or in person. Is Data Analyst Certification worth it?

Certification 52

Certification Business Analyst Big Data Data Analytics 52

ProjectPro

JUNE 29, 2016

“I already have a job, so I don’t need to learn a new programming language.” Which big data tools and technologies should you try to master? Which big data tool provides a perfect balance between difficulty, relevance and market potential?

Hadoop 40

Hadoop Big Data Banking Consulting 40