Learn from Home Offer

Learn from Home Offer
his Apache Spark Training includes 3 courses with 13+ hours of video tutorials and Lifetime access.
You get to learn fundamental mechanisms and basic internals of the framework and understand the need to use Spark, its programming and machine learning in detail.
Learning spark programming
Apache Spark Fundamentals
Apache Spark Advanced
Course | No. of Hours | |
---|---|---|
Learning spark programming | 6h 4m | |
Apache Spark - Beginners | 1h 5m | |
Apache Spark - Advanced | 6h 14m |
Course Name | Online Apache Spark Training Course |
Deal | You get access to all 3 courses bundle. You do not need to purchase each course separately. |
Hours | 13+ Video Hours |
Core Coverage | Fundamentals of Spark, Machine learning using Spark and Spark streaming |
Course Validity | Lifetime Access |
Eligibility | Anyone serious about learning Big Data with Apache Spark and wants to make a career in this Field |
Pre-Requisites | Basic knowledge about data analytics would be preferable |
What do you get? | Certificate of Completion for each of the 3 courses |
Certification Type | Course Completion Certificates |
Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your Resume/LinkedIn profile to showcase your enhanced skills |
Type of Training | Video Course – Self Paced Learning |
Software Required | None |
System Requirement | 1 GB RAM or higher |
Other Requirement | Speaker / Headphone |
In this section, each module of the Big Data with Apache Spark Certification Course is explained.
Serial No | Course Name | Course Description |
1 | Apache Spark Fundamentals | This Apache Spark training will teach you how to use Apache Spark. You will be focused on spark clusters and techniques. a brief introduction on spark origin and its uses, context and components. you will learn spark Resilient Distributed Data sets basics and operations, key-value pairs, transformation used to perform on RD. You will also learn Data loading, RDD Partitioning. Understanding the life cycle of Apache Spark applications and advanced use cases and characteristics. You will also learn how to is Apache Spark for statistical analysis, Business Analytics, map transformations and advanced integrity. Finally, you will learn to create spark application and execute on Hadoop and leverage implementation and understanding DAG in sparks for implications. |
2 | Apache Spark Advanced | You will learn Streaming concepts on a spark, introduction to twitter connection using a spark. Exploring Streaming features, Workflow, Slice and windows operation. Analyzing the data from Twitter using Streaming. It also explains Hadoop components YARN-architecture, life cycle, and its uses. Also launching and using Scala language and its features. Next, explains the fundamentals of Scala classes, Variables, and functions, Scala hierarchies (collections, Loops, Strings and Modifiers, array buffers and more) concepts.
You will also go through in creating Checkpoint directory and Dreams. In the end, you will also discover how to create an effective Scala project, Connection to Twitter using Spark and streaming. |
3 | Learning Spark programming | You will understand the basic internals of Spark and installation to Apache Spark. Finally executing the Spark on Hadoop cluster with a single node and multiple node and basics of resource allocation. The Apache Spark Training Course includes explaining Advanced concepts on Writing and Re-writing Spark Code for application and understanding Sparks |
Spark is an open-source framework widely used in many organizations to process large Data source and developed in the year 2009. It drives as a friendly platform for machine learning tasks, interactive queries, and large-scale SQL. Apache Spark has become one of the primary big data frameworks which have overtaken the old map-reduce module. Spark helps data scientists in analysis, transformation, querying. The day it was incepted, most of the tasks happen in memory which is quite speedy. Spark took their part in data integration to reduce the cost and time. Most of the leading companies were already join their hands with Apache like IBM, Huawei, and all the major Hadoop vendors.
It is a Primary analytical engine for large scale data processing. To Build Apache Spark project most importantly you require Spark SQL has SQL engine which processes structured data. They help in data optimization in the data processing workflow. To handle machine learning it has its own MLB libraries. Spark uses Cluster computing for its analytical purpose and storage. Next, for a cluster manager Spark run on YARN. Apache Spark is the first Big data structure to process data-in-memory. The process is 1000 times faster than Hadoop. Before starting into an application, it is necessary to choose a language. To have better APIs spark is developed in Scala.
Here are some of the skills listed further helps in career future. You will gain technical skills to level -up in data fields. To become a big data Analyst this Apache Spark Training Course helps in trained skills like MySQL, Scala, R and you will end up with various tools for enterprise analytics. Spark has become the greatest learning curve for big data practitioners and for storing data HDFS is essential. Experts in Good Analytics presentation for business. You will get trained on java, domain-based management skills and armed with skills of data mining, Extensive Hands-on practice to virtual lab assignments and projects. This Apache Spark Training Course master in skills like solving solutions for big data tasks like batch processing, machine learning at Scala and deploying production process. Familiar in creating twitter Application using a spark, clustering in nodes.
You will get an in-depth knowledge of Spark Ecosystem and knowledge on Scala, Hadoop, Spark Graph X.
The time limit to finish this training is nearly about 13+ hours with lifetime validity.
This certification guides 100% big data skills to boost the hottest jobs today and you can share with a professional network.
You can gradually get familiar with the concept and explore in the big data market and explore in RDD projects.
IT professionals, Data Analyst, Big data engineers and Candidates who are interested in deploying big data and its application can avail this Apache Spark Training Course.
It is required to know basic of Java Programming and in-depth knowledge on Cloud computing.
Experience in Spark training is still in demand because it is the most widely used analytical processing framework to solve big data problems.
A good way to start learning the very basics of SPARK architecture and programming. People who don’t have programming should first attend the SCALA tutorial before this Apache Spark Training Course. The diagrammatic explanation was very clearly explained for an easier understanding of how the processes get implemented in SPARK.
This Apache Spark Training Course covers all the fundamentals of Apache Spark using languages. It is the best course content and highly recommended. At the end of this training, you will gain big data processing and data manipulation skills. It helps in building cutting-edge applications. You will be benefited much in the data field by taking up this Apache Spark training and adding it on a resume. As big data is a higher priority among the IT employees today, it is the right decision to learn and get trained in specialized certification in EDUCBA for professional experts.
I had a fantastic learning experience through Apache Spark training and helps me in upgrading skillset. I have gained hands-on experience and I would recommend all my friends to take big data courses to become a big data engineer. Apache Spark certification training has delivered basic Scala to advanced concepts on Spark. This Apache Spark Training Course gives an entirely practical approach and spark components with an example.
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Courses | No. of Hours | |
---|---|---|
Learning spark programming | 6h 4m | |
Apache Spark - Beginners | 1h 5m | |
Apache Spark - Advanced | 6h 14m |
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