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We're here to help you find itThe "Getting Started with Big Data" course is a comprehensive program designed to introduce learners to the expansive world of big data analytics. It aims to provide a foundation in understanding and utilizing big data tools and methodologies, specifically focusing on Hadoop and its ecosystem, as well as Apache Spark and Kafka.
Beginning with Module 1, participants will get a Big Data Overview that covers the essential Five Vs of Big Data and dives into the relationship between Big Data and Hadoop. The module further explores the Components of the Hadoop Ecosystem and introduces the basics of Big Data Analytics.
Module 2 shifts focus to HDFS (Hadoop Distributed File System) and Map Reduce, key components for big data storage and distributed processing. The lessons will clarify the Mapping and Reducing stages and familiarize learners with terms like Output Format, Partitioners, Combiners, and the Shuffle and Sort process.
PySpark Foundation is the core of Module 3, where learners will understand how to configure Spark and manipulate Resilient Distributed Datasets (RDDs), which are crucial for Aggregating Data in big data processing.
Module 4 contrasts Spark SQL with Hadoop Hive, guiding students through practical applications using the Spark SQL Query Language.
In Module 5, the course takes a leap into Machine Learning with Spark ML, covering various algorithms such as Linear Regression, Logistic Regression, and Random Forest.
Finally, Module 6 introduces the streaming platform Kafka, outlining its architecture, workflow, and cluster configuration.
Overall, this course will empower learners with the knowledge and practical skills needed to navigate the big data landscape, making them valuable assets in fields that require data-driven decision-making.
Purchase This Course
USD
View Fees Breakdown
| Course Fee | 1,150 |
|
Total Fees |
1,150 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Certainly! Here are the minimum required prerequisites for successfully undertaking the "Getting Started with Big Data" course:
These prerequisites are intended to ensure that learners can comfortably grasp the course material and fully benefit from the training. The course is designed with a step-by-step approach to accommodate learners who are new to Big Data, provided they come with the foundational knowledge listed above.
"Become proficient in handling massive datasets with our Getting Started with Big Data course, tailored for IT professionals and data enthusiasts."
Gain a comprehensive understanding of Big Data concepts and tools through hands-on experience with Hadoop, MapReduce, PySpark, Spark SQL, machine learning with Spark ML, and real-time processing with Kafka.
"Become proficient in handling massive datasets with our Getting Started with Big Data course, tailored for IT professionals and data enthusiasts."
Gain a comprehensive understanding of Big Data concepts and tools through hands-on experience with Hadoop, MapReduce, PySpark, Spark SQL, machine learning with Spark ML, and real-time processing with Kafka.
