Best Big Data Courses to Learn in January 2025
Looking to enhance your skills? We’ve curated a list of the top-rated big data courses available this month. These courses are highly rated by students and offer comprehensive learning experiences.
10. Data Entry Skills: A Complete Data Entry Course from Scratch
Instructor: Data Tutors
A Complete Guide to Data Entry Skills: Learn Data Entry Skills and become a Data Entry Pro & Get a Online Data Entry Job
Course Highlights:
- Rating: 4.68 ⭐ (2348 reviews)
- Students Enrolled: 6176
- Course Length: 52120 hours
- Number of Lectures: 192
- Number of Quizzes: 0
Data Entry Skills: A Complete Data Entry Course from Scratch, has an average rating of 4.68, with 192 lectures, based on 2348 reviews, and has 6176 subscribers.
You will learn about Introduction to Data Entry Skill Different Types of Data Entry and Review keyboard shortcuts How to Use Microsoft Excel For Data Entry Work How to Use Microsoft Word For Data Entry Job How to Use Google Sheet For Data Entry Work How to Use Smartsheet For Data Entry Job How to Use Zoho Sheet For Data Entry Work Setting Up Google Drive and Microsoft 365 Autofill & Custom autofill list feature in MS Excel Flashfill and table feature in MS Excel Sorting & Filtering options in MS Excel Cut, Copy, paste & Drag How to Convert PDF to Excel Pivot Table Feature in Microsoft Excel How to Convert PDF to word Basic Editing in MS Word Header & Footer Feature in Microsoft Word How to Convert Image to Word Document How to Create A Hyperlink In MS Word Converting Word into PDF How to Become a Data Entry Professional From a Complete Beginner Learn how to use AI Tools to learn Data Entry Skills 10X your Data Entry and Excel Skills with ChatGPT Integrate OpenAI ChatGPT with Microsoft Excel How to Integrate GPT-3 (ChatGPT) in Microsoft Word How to Create a Great Profile on Upwork and Get Started as an Upwork Freelancer How to Apply to Jobs in Upwork and Create Winning Proposals in 2024 Learn about Data Quality – Dimensions, Data Accuracy, Data Validity, Data Timeliness, Data Completeness, Data Uniqueness Use AI Tools to learn Data Entry Skills Learn Key Concepts in Data and Analytics to Master This course is ideal for individuals who are People who want to become a Data Entry Professional. or Students who want to Engage with Computer and Data Entry Work or Peoples who are interested to Learn about Data Entry It is particularly useful for People who want to become a Data Entry Professional. or Students who want to Engage with Computer and Data Entry Work or Peoples who are interested to Learn about Data Entry.
Learn More About Data Entry Skills: A Complete Data Entry Course from Scratch
What You Will Learn
- Introduction to Data Entry Skill
- Different Types of Data Entry and Review keyboard shortcuts
- How to Use Microsoft Excel For Data Entry Work
- How to Use Microsoft Word For Data Entry Job
- How to Use Google Sheet For Data Entry Work
- How to Use Smartsheet For Data Entry Job
- How to Use Zoho Sheet For Data Entry Work
- Setting Up Google Drive and Microsoft 365
- Autofill & Custom autofill list feature in MS Excel
- Flashfill and table feature in MS Excel
- Sorting & Filtering options in MS Excel
- Cut, Copy, paste & Drag
- How to Convert PDF to Excel
- Pivot Table Feature in Microsoft Excel
- How to Convert PDF to word
- Basic Editing in MS Word
- Header & Footer Feature in Microsoft Word
- How to Convert Image to Word Document
- How to Create A Hyperlink In MS Word
- Converting Word into PDF
- How to Become a Data Entry Professional From a Complete Beginner
- Learn how to use AI Tools to learn Data Entry Skills
- 10X your Data Entry and Excel Skills with ChatGPT
- Integrate OpenAI ChatGPT with Microsoft Excel
- How to Integrate GPT-3 (ChatGPT) in Microsoft Word
- How to Create a Great Profile on Upwork and Get Started as an Upwork Freelancer
- How to Apply to Jobs in Upwork and Create Winning Proposals in 2024
- Learn about Data Quality – Dimensions, Data Accuracy, Data Validity, Data Timeliness, Data Completeness, Data Uniqueness
- Use AI Tools to learn Data Entry Skills
- Learn Key Concepts in Data and Analytics to Master
9. Mastering Hive: From Basics to Advanced Big Data Analysis
Instructor: EDUCBA Bridging the Gap
Unlock the power of Hive for big data management and analytics, from beginner to expert level!
Course Highlights:
- Rating: 4.8 ⭐ (5 reviews)
- Students Enrolled: 455
- Course Length: 85337 hours
- Number of Lectures: 190
- Number of Quizzes: 0
Mastering Hive: From Basics to Advanced Big Data Analysis, has an average rating of 4.8, with 190 lectures, based on 5 reviews, and has 455 subscribers.
You will learn about Introduction to Hive: Understand the fundamentals of Hive and its role in the Hadoop ecosystem. Hive Database Management: Learn how to create and manage Hive databases and tables. Data Loading and Manipulation: Master the techniques for loading data into Hive and performing data manipulation operations. Advanced Querying: Execute complex queries using HiveQL, including joins, partitions, and bucketing. Hive Functions: Utilize built-in Hive functions for data processing and analysis. User Defined Functions (UDFs): Create and implement custom UDFs to extend Hive's capabilities. Hive Integration with HBase: Explore the integration of Hive with HBase for efficient data storage and retrieval. Real-World Case Studies: Apply Hive knowledge to practical case studies in various industries, such as telecom and social media. Hive with Other Big Data Tools: Learn to use Hive in conjunction with Pig, MapReduce, and Sqoop for comprehensive data analysis. Sensor Data Analysis: Gain hands-on experience in processing and analyzing sensor data using Hive and Pig. This course is ideal for individuals who are Aspiring Data Engineers: Individuals aiming to build a career in data engineering and big data analytics. or Big Data Enthusiasts: Anyone with a passion for big data technologies and analytics. or Data Analysts: Professionals seeking to enhance their data analysis skills with Hive. or Students: Computer science and engineering students interested in learning about big data technologies. or IT Professionals: IT professionals looking to upskill and transition into big data roles. or Software Developers: Developers wanting to integrate Hive capabilities into their applications. or Tech Entrepreneurs: Entrepreneurs looking to implement big data solutions in their startups. It is particularly useful for Aspiring Data Engineers: Individuals aiming to build a career in data engineering and big data analytics. or Big Data Enthusiasts: Anyone with a passion for big data technologies and analytics. or Data Analysts: Professionals seeking to enhance their data analysis skills with Hive. or Students: Computer science and engineering students interested in learning about big data technologies. or IT Professionals: IT professionals looking to upskill and transition into big data roles. or Software Developers: Developers wanting to integrate Hive capabilities into their applications. or Tech Entrepreneurs: Entrepreneurs looking to implement big data solutions in their startups.
Learn More About Mastering Hive: From Basics to Advanced Big Data Analysis
What You Will Learn
- Introduction to Hive: Understand the fundamentals of Hive and its role in the Hadoop ecosystem.
- Hive Database Management: Learn how to create and manage Hive databases and tables.
- Data Loading and Manipulation: Master the techniques for loading data into Hive and performing data manipulation operations.
- Advanced Querying: Execute complex queries using HiveQL, including joins, partitions, and bucketing.
- Hive Functions: Utilize built-in Hive functions for data processing and analysis.
- User Defined Functions (UDFs): Create and implement custom UDFs to extend Hive's capabilities.
- Hive Integration with HBase: Explore the integration of Hive with HBase for efficient data storage and retrieval.
- Real-World Case Studies: Apply Hive knowledge to practical case studies in various industries, such as telecom and social media.
- Hive with Other Big Data Tools: Learn to use Hive in conjunction with Pig, MapReduce, and Sqoop for comprehensive data analysis.
- Sensor Data Analysis: Gain hands-on experience in processing and analyzing sensor data using Hive and Pig.
8. Python for Data Science and Machine Learning Bootcamp
Instructor: Jose Portilla
Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more!
Course Highlights:
- Rating: 4.61 ⭐ (148023 reviews)
- Students Enrolled: 746491
- Course Length: 89200 hours
- Number of Lectures: 184
- Number of Quizzes: 1
Python for Data Science and Machine Learning Bootcamp, has an average rating of 4.61, with 184 lectures, 1 quizzes, based on 148023 reviews, and has 746491 subscribers.
You will learn about Use Python for Data Science and Machine Learning Use Spark for Big Data Analysis Implement Machine Learning Algorithms Learn to use NumPy for Numerical Data Learn to use Pandas for Data Analysis Learn to use Matplotlib for Python Plotting Learn to use Seaborn for statistical plots Use Plotly for interactive dynamic visualizations Use SciKit-Learn for Machine Learning Tasks K-Means Clustering Logistic Regression Linear Regression Random Forest and Decision Trees Natural Language Processing and Spam Filters Neural Networks Support Vector Machines This course is ideal for individuals who are This course is meant for people with at least some programming experience It is particularly useful for This course is meant for people with at least some programming experience.
Learn More About Python for Data Science and Machine Learning Bootcamp
What You Will Learn
- Use Python for Data Science and Machine Learning
- Use Spark for Big Data Analysis
- Implement Machine Learning Algorithms
- Learn to use NumPy for Numerical Data
- Learn to use Pandas for Data Analysis
- Learn to use Matplotlib for Python Plotting
- Learn to use Seaborn for statistical plots
- Use Plotly for interactive dynamic visualizations
- Use SciKit-Learn for Machine Learning Tasks
- K-Means Clustering
- Logistic Regression
- Linear Regression
- Random Forest and Decision Trees
- Natural Language Processing and Spam Filters
- Neural Networks
- Support Vector Machines
7. Data Management Masterclass – The Complete Course
Instructor: George Smarts
Practical Data Management Course. Learn the best practices and specifics for every Data Management subject area (CDMP)
Course Highlights:
- Rating: 4.55 ⭐ (3982 reviews)
- Students Enrolled: 24045
- Course Length: 58386 hours
- Number of Lectures: 235
- Number of Quizzes: 15
Data Management Masterclass – The Complete Course, has an average rating of 4.55, with 235 lectures, 15 quizzes, based on 3982 reviews, and has 24045 subscribers.
You will learn about What is Data Management from A to Z All the different Data Management subject areas Best Practices on Data Management from the Industry How to implement Data Management practices within your organization This course is ideal for individuals who are Data Professionals that want to gain complete understanding of Data Management or Managers that need to understand the principles of Data Management or Anyone that wants to have a complete understanding of Data Management It is particularly useful for Data Professionals that want to gain complete understanding of Data Management or Managers that need to understand the principles of Data Management or Anyone that wants to have a complete understanding of Data Management.
Learn More About Data Management Masterclass – The Complete Course
What You Will Learn
- What is Data Management from A to Z
- All the different Data Management subject areas
- Best Practices on Data Management from the Industry
- How to implement Data Management practices within your organization
6. Taming Big Data with Apache Spark and Python – Hands On!
Instructor: Sundog Education by Frank Kane
PySpark tutorial with 20+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!
Course Highlights:
- Rating: 4.56 ⭐ (16603 reviews)
- Students Enrolled: 104902
- Course Length: 25197 hours
- Number of Lectures: 69
- Number of Quizzes: 0
Taming Big Data with Apache Spark and Python – Hands On!, has an average rating of 4.56, with 69 lectures, based on 16603 reviews, and has 104902 subscribers.
You will learn about Use DataFrames and Structured Streaming in Spark 3 Use the MLLib machine learning library to answer common data mining questions Understand how Spark Streaming lets your process continuous streams of data in real time Frame big data analysis problems as Spark problems Use Amazon's Elastic MapReduce service to run your job on a cluster with Hadoop YARN Install and run Apache Spark on a desktop computer or on a cluster Use Spark's Resilient Distributed Datasets to process and analyze large data sets across many CPU's Implement iterative algorithms such as breadth-first-search using Spark Understand how Spark SQL lets you work with structured data Tune and troubleshoot large jobs running on a cluster Share information between nodes on a Spark cluster using broadcast variables and accumulators Understand how the GraphX library helps with network analysis problems This course is ideal for individuals who are People with some software development background who want to learn the hottest technology in big data analysis will want to check this out. This course focuses on Spark from a software development standpoint; we introduce some machine learning and data mining concepts along the way, but that's not the focus. If you want to learn how to use Spark to carve up huge datasets and extract meaning from them, then this course is for you. or If you've never written a computer program or a script before, this course isn't for you – yet. I suggest starting with a Python course first, if programming is new to you. or If your software development job involves, or will involve, processing large amounts of data, you need to know about Spark. or If you're training for a new career in data science or big data, Spark is an important part of it. It is particularly useful for People with some software development background who want to learn the hottest technology in big data analysis will want to check this out. This course focuses on Spark from a software development standpoint; we introduce some machine learning and data mining concepts along the way, but that's not the focus. If you want to learn how to use Spark to carve up huge datasets and extract meaning from them, then this course is for you. or If you've never written a computer program or a script before, this course isn't for you – yet. I suggest starting with a Python course first, if programming is new to you. or If your software development job involves, or will involve, processing large amounts of data, you need to know about Spark. or If you're training for a new career in data science or big data, Spark is an important part of it.
Learn More About Taming Big Data with Apache Spark and Python – Hands On!
What You Will Learn
- Use DataFrames and Structured Streaming in Spark 3
- Use the MLLib machine learning library to answer common data mining questions
- Understand how Spark Streaming lets your process continuous streams of data in real time
- Frame big data analysis problems as Spark problems
- Use Amazon's Elastic MapReduce service to run your job on a cluster with Hadoop YARN
- Install and run Apache Spark on a desktop computer or on a cluster
- Use Spark's Resilient Distributed Datasets to process and analyze large data sets across many CPU's
- Implement iterative algorithms such as breadth-first-search using Spark
- Understand how Spark SQL lets you work with structured data
- Tune and troubleshoot large jobs running on a cluster
- Share information between nodes on a Spark cluster using broadcast variables and accumulators
- Understand how the GraphX library helps with network analysis problems
5. AWS Certified Data Engineer Associate 2025 – Hands On!
Instructor: Sundog Education by Frank Kane
AWS DEA-C01 certification prep course with exercises and a full-length practice exam. Redshift, Glue, Athena, and more
Course Highlights:
- Rating: 4.59 ⭐ (6485 reviews)
- Students Enrolled: 59623
- Course Length: 77168 hours
- Number of Lectures: 288
- Number of Quizzes: 19
AWS Certified Data Engineer Associate 2025 – Hands On!, has an average rating of 4.59, with 288 lectures, 19 quizzes, based on 6485 reviews, and has 59623 subscribers.
You will learn about Maximize your odds of passing the AWS Certified Data Engineer – Associate (DEA-C01) exam Design and implement data pipelines with AWS to ingest, store, and transform data Choose and design data stores, data models, data schemas, and data lifecycles. Maintain, operationalize, and orchestrate data pipelines with EventBridge, Airflow, AWS Step Functions,, and more Apply security, governance, and privacy best practices to your AWS data pipelines. Create data lakes with S3, Glue, Redshift and more Process batch and streaming data with Kinesis, EMR, containers, Lambda, and more This course is ideal for individuals who are Technologists seeking certification in data engineering technologies on Amazon Web Services It is particularly useful for Technologists seeking certification in data engineering technologies on Amazon Web Services.
Learn More About AWS Certified Data Engineer Associate 2025 – Hands On!
What You Will Learn
- Maximize your odds of passing the AWS Certified Data Engineer – Associate (DEA-C01) exam
- Design and implement data pipelines with AWS to ingest, store, and transform data
- Choose and design data stores, data models, data schemas, and data lifecycles.
- Maintain, operationalize, and orchestrate data pipelines with EventBridge, Airflow, AWS Step Functions,, and more
- Apply security, governance, and privacy best practices to your AWS data pipelines.
- Create data lakes with S3, Glue, Redshift and more
- Process batch and streaming data with Kinesis, EMR, containers, Lambda, and more
4. 100 Days of Code: The Complete Python Pro Bootcamp
Instructor: Dr. Angela Yu, Developer and Lead Instructor
Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!
Course Highlights:
- Rating: 4.71 ⭐ (342678 reviews)
- Students Enrolled: 1468884
- Course Length: 187172 hours
- Number of Lectures: 653
- Number of Quizzes: 43
100 Days of Code: The Complete Python Pro Bootcamp, has an average rating of 4.71, with 653 lectures, 43 quizzes, based on 342678 reviews, and has 1468884 subscribers.
You will learn about You will master the Python programming language by building 100 unique projects over 100 days. You will learn automation, game, app and web development, data science and machine learning all using Python. You will be able to program in Python professionally You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib. Create a portfolio of 100 Python projects to apply for developer jobs Be able to build fully fledged websites and web apps with Python Be able to use Python for data science and machine learning Build games like Blackjack, Pong and Snake using Python Build GUIs and Desktop applications with Python This course is ideal for individuals who are If you want to learn to code from scratch through building fun and useful projects, then take this course. or If you want to start your own startup by building your own websites and web apps. or If you are a complete beginner then this course will be everything you need to become a Python professional or If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects. or If you are an intermediate Python programmer then you know 100 days of code challenges will help you level up. It is particularly useful for If you want to learn to code from scratch through building fun and useful projects, then take this course. or If you want to start your own startup by building your own websites and web apps. or If you are a complete beginner then this course will be everything you need to become a Python professional or If you are a seasoned programmer wanting to switch to Python then this is the quickest way. Learn through coding projects. or If you are an intermediate Python programmer then you know 100 days of code challenges will help you level up.
Learn More About 100 Days of Code: The Complete Python Pro Bootcamp
What You Will Learn
- You will master the Python programming language by building 100 unique projects over 100 days.
- You will learn automation, game, app and web development, data science and machine learning all using Python.
- You will be able to program in Python professionally
- You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.
- Create a portfolio of 100 Python projects to apply for developer jobs
- Be able to build fully fledged websites and web apps with Python
- Be able to use Python for data science and machine learning
- Build games like Blackjack, Pong and Snake using Python
- Build GUIs and Desktop applications with Python
3. Data Lake Mastery: The Key to Big Data & Data Engineering
Instructor: Nikolai Schuler
Data Lake Mastery using AWS: A Shortcut to Success in Big Data, Cloud Data Engineering and Data Architecture
Course Highlights:
- Rating: 4.67 ⭐ (331 reviews)
- Students Enrolled: 4071
- Course Length: 36699 hours
- Number of Lectures: 97
- Number of Quizzes: 18
Data Lake Mastery: The Key to Big Data & Data Engineering, has an average rating of 4.67, with 97 lectures, 18 quizzes, based on 331 reviews, and has 4071 subscribers.
You will learn about Master the complete implementation of full-scale Data Lake solutions in the cloud Apply Data Lake concepts professionally in cloud data engineering Create a multi-layered security strategy for Data Lake protection Design & implement efficient data ingestion strategies in AWS Master Data Lake Architecture for effective cloud implementations Master Data Lake Governance & Security Master Leadership & Strategy Essentials for Successful Data Lakes Learn comprehensive access control strategies within Data Lakes Understand and implement robust monitoring and security in Data Lakes Enhance your career prospects with advanced Data Lake skills and knowledge This course is ideal for individuals who are Aspiring Data Engineers looking to start or advance their career or Cloud Technology Enthusiasts with an interest in Big Data or IT Professionals who want to expand their skillset to include Data Lake skills or Anyone that wants to add Data Lake skills to their skillset It is particularly useful for Aspiring Data Engineers looking to start or advance their career or Cloud Technology Enthusiasts with an interest in Big Data or IT Professionals who want to expand their skillset to include Data Lake skills or Anyone that wants to add Data Lake skills to their skillset.
Learn More About Data Lake Mastery: The Key to Big Data & Data Engineering
What You Will Learn
- Master the complete implementation of full-scale Data Lake solutions in the cloud
- Apply Data Lake concepts professionally in cloud data engineering
- Create a multi-layered security strategy for Data Lake protection
- Design & implement efficient data ingestion strategies in AWS
- Master Data Lake Architecture for effective cloud implementations
- Master Data Lake Governance & Security
- Master Leadership & Strategy Essentials for Successful Data Lakes
- Learn comprehensive access control strategies within Data Lakes
- Understand and implement robust monitoring and security in Data Lakes
- Enhance your career prospects with advanced Data Lake skills and knowledge
2. The Data Science Course: Complete Data Science Bootcamp 2025
Instructor: 365 Careers
Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning
Course Highlights:
- Rating: 4.59 ⭐ (148180 reviews)
- Students Enrolled: 731899
- Course Length: 112585 hours
- Number of Lectures: 553
- Number of Quizzes: 277
The Data Science Course: Complete Data Science Bootcamp 2025, has an average rating of 4.59, with 553 lectures, 277 quizzes, based on 148180 reviews, and has 731899 subscribers.
You will learn about The course provides the entire toolbox you need to become a data scientist Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow Impress interviewers by showing an understanding of the data science field Learn how to pre-process data Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!) Start coding in Python and learn how to use it for statistical analysis Perform linear and logistic regressions in Python Carry out cluster and factor analysis Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn Apply your skills to real-life business cases Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data Unfold the power of deep neural networks Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations This course is ideal for individuals who are You should take this course if you want to become a Data Scientist or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills It is particularly useful for You should take this course if you want to become a Data Scientist or if you want to learn about the field or This course is for you if you want a great career or The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.
Learn More About The Data Science Course: Complete Data Science Bootcamp 2025
What You Will Learn
- The course provides the entire toolbox you need to become a data scientist
- Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
- Impress interviewers by showing an understanding of the data science field
- Learn how to pre-process data
- Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
- Start coding in Python and learn how to use it for statistical analysis
- Perform linear and logistic regressions in Python
- Carry out cluster and factor analysis
- Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
- Apply your skills to real-life business cases
- Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
- Unfold the power of deep neural networks
- Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
- Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
1. Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB
Instructor: Navdeep Kaur
Full Hands on course to become Big Data Engineer: Spark/Kafka/Hadoop/Flume/Hive/Sqoop/MongoDB. Data Engineering course.
Course Highlights:
- Rating: 4.59 ⭐ (1818 reviews)
- Students Enrolled: 15575
- Course Length: 43036 hours
- Number of Lectures: 159
- Number of Quizzes: 0
Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB, has an average rating of 4.59, with 159 lectures, based on 1818 reviews, and has 15575 subscribers.
You will learn about Hadoop Ecosystem, Sqoop, Flume, Hive Expertise on writing code with Apache Spark Learn Kafka Fundamentals and using Kafka Connectors Learn writing queries and client in MongoDB Learn Data Engineering technologies This course is ideal for individuals who are Who want to learn Big data technologies or Who want to become Data Engineers It is particularly useful for Who want to learn Big data technologies or Who want to become Data Engineers.
Learn More About Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB
What You Will Learn
- Hadoop Ecosystem, Sqoop, Flume, Hive
- Expertise on writing code with Apache Spark
- Learn Kafka Fundamentals and using Kafka Connectors
- Learn writing queries and client in MongoDB
- Learn Data Engineering technologies
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