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ABOUT THIS COURSE
Edureka's PySpark Certification Training is designed to give you the knowledge and skills required to become a successful Spark developer using Python and prepare you for the Cloudera Hadoop and Spark Developer Certification Exam (CCA175). Throughout PySpark Training, you will gain a deep understanding of Apache Spark and the Spark Ecosystem, including Spark RDD, Spark SQL, Spark MLlib, and Spark Streaming. He will also gain a thorough knowledge of Python programming language, HDFS, Sqoop, Flume, Spark GraphX and messaging system like Kafka.
DESCRIPTION
ABOUT THE PYSPARK ONLINE COURSE
The PySpark certification training course is designed to provide you with the knowledge and skills to become a successful Big Data & Spark developer. This training will help you clear the CCA Spark and Hadoop Developer (CCA175) exam. You will understand the basics of Big Data and Hadoop. You will learn how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. You will also learn about RDD, Spark SQL for Structured Processing, different APIs offered by Spark like Spark Streaming, Spark MLlib. This course is an integral part of a Big Data developer's career path. It will also cover fundamental concepts such as capturing data with Flume, loading data with Sqoop, a messaging system like Kafka, etc.
WHAT ARE THE OBJECTIVES OF OUR PYSPARK ONLINE TRAINING COURSE?
Spark Certification Training is designed by industry experts to make you a certified Spark developer. The PySpark course offers: Overview of Big Data and Hadoop including HDFS (Hadoop Distributed File System), YARN (Other Resource Negotiator) Comprehensive knowledge of various tools found in the Spark Ecosystem such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming The ability to ingest data into HDFS using Sqoop & Flume, and analyze those large data sets stored in HDFS The power to handle data in real time through a publish-subscribe messaging system such as Kafka Exposure to many real-life industry-based projects to be executed using Edureka's CloudLab projects, which are diverse in nature spanning banking, telecommunications, social media,
CHARACTERISTICS OF THIS COURSE
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Course language:English with English subtitles
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Created by:edureka!
CONTENTS OF THIS COURSE
INTRODUCTION TO BIG DATA HADOOP AND SPARK. Learning Objectives: In this module, you will understand Big Data, the limitations of existing solutions to the Big Data problem, how Hadoop solves the Big Data problem, the components of the Hadoop ecosystem, Hadoop Architecture, HDFS, Rack Awareness, and Replication . You will learn about Hadoop Cluster Architecture, important configuration files in a Hadoop Cluster. You'll also get an introduction to Spark, why it's used, and an understanding of the difference between batch processing and real-time processing. Topics: What is Big Data? Big Data Customer Scenarios Limitations and Workarounds of Existing Data Analytics Architecture with Uber Use Case How Does Hadoop Solve the Big Data Problem? What is Hadoop? Key features of Hadoop Hadoop Ecosystem and HDFS Main components of Hadoop Knowledge of rack and block replication YARN and its advantage Hadoop Cluster and its architecture Hadoop: different cluster modes Big Data analysis with batch and real-time processing Why is it need Spark? What is the spark? How does Spark differ from its competitors? Spark on eBay Spark's Place on the Hadoop Ecosystem. Click on the "go to course" button to learn more details at edureka! Real-time processing Why is Spark needed? What is the spark? How does Spark differ from its competitors? Spark on eBay Spark's Place on the Hadoop Ecosystem. Click on the "go to course" button to learn more details at edureka! Real-time processing Why is Spark needed? What is the spark? How does Spark differ from its competitors? Spark on eBay Spark's Place on the Hadoop Ecosystem. Click on the "go to course" button to learn more details at edureka!
INTRODUCTION TO PYTHON FOR APACHE SPARK. Learning Objectives: In this module, you will learn the basics of Python programming and learn about different types of sequence structures, related operations, and their usage. You will also learn various ways to open, read, and write to files. Topics: Python overview Different applications using Python Values, types, variables Operands and expressions Conditional statements Loops Command line arguments Writing to the screen Python files I/O functions Numbers Strings and related operations Tuples and related operations Lists and related operations Dictionaries and related operations Sets and related operations Practice: Creating "Hello World" code Demonstration of conditional statements Demonstration of loops Tuple - properties, related operations, compared to list List - properties, related operations Dictionary - properties,
FUNCTIONS, OOP AND MODULES IN PYTHON. Learning Objectives: In this module, you will learn how to create generic Python scripts, how to deal with errors/exceptions in code, and finally how to extract/filter content using regular expressions. Topics: Functions Function Parameters Global Variables Variable Scope and Return Values Lambda Functions Object-Oriented Concepts Standard Libraries Modules Used in Python The Import Declarations Module Search Path Installation Packages Practical Ways: Functions: Syntax, Arguments, Arguments of keywords, Lambda return values - Characteristics, syntax, options, compared to functions Classification - Sequences, dictionaries, bug and exception classification limitations - Types of problems, repair packages and module - Modules, import options, path Get a detailed course syllabus delivered to your inbox Download the syllabus
DEEP DIVE INTO APACHE SPARK FRAMEWORK. Learning Objectives: In this module, you will gain a deep understanding of Apache Spark and learn about various Spark components, build and run various Spark applications. In the end, you will learn how to perform data ingestion using Sqoop. Topics: Spark Components and Architecture Spark Deployment Modes Introduction to PySpark Shell Submit PySpark Job Spark Web UI Writing Your First PySpark Job Using Jupyter Notebook Data Ingestion Using Sqoop Hands-On: Building and Running Spark Application Spark Web UI Application Understand the different properties of Spark Get detailed syllabus delivered to your inbox Download Resume
Advantages
Outstanding advantages of edureka courses!
live instructors
Instructor-led sessions will address all your concerns in real time.
lifetime access
Unlimited access to the course's online learning repository.
Real cases
Develop a project with live accompaniment, based on any of the cases seen
Tasks
In each class you will have practical tasks that will help you apply the concepts taught.
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About the virtual courses of edureka!
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Remember that AulaPro is an information medium that curates the best online courses, available on different world-renowned platforms. For this reason, it is not responsible for any claim on the published courses, for which the user must always resort to the channels available for each E-learning platform to submit requests, complaints or claims.
In the case of edureka!, if you are subscribed to one of its courses, a three (3) day money back guarantee is offered with no questions asked on all courses. The refund must be claimed within 3 days of registration. It will always be the user's responsibility to review the service conditions of the platform that offers the course of interest and its latest provisions.
Once you are registered on the platform edureka! To obtain a Certificate for one of their courses, you will have access to all the course resources: videos, quizzes and programming tasks (when the course is designed that way). edureka! It offers a personalized follow-up with live instructors who clear up doubts, and generally the courses will have specific start dates.
That's how it is! the courses you take at edureka! they are completely online, you do not need to go anywhere at any time. From your home, wherever you are, you can educate yourself with the most professional instructors, who will be in constant contact to help you complete your study. In fact, edureka! It has one of the highest course completion rates among the platforms, so you will have a better chance of meeting your goal. You can access your lessons, readings and homework at any time and anywhere through the Internet, from your laptop, tablet or mobile device, thanks to edureka! It has an app for both Android and IOS.
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All edureka instructors are industry professionals with a minimum of 10-12 years of relevant IT experience. They are experts in each subject covered by the course and are trained by edureka to provide a high-level learning experience for students.
Something outstanding about taking a course with edureka! is that you not only have access to all the material and contents of it for life, but also to the support team, which will be available 24 hours a day, 7 days a week. The team will help you resolve queries, during and after the course.
METHODOLOGY
LEVEL OF STUDY
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COURSE DETAILS
- DELIVERY SCHEDULE: Live online classes, accompanied by instructor
- ACCESS TIME Lifetime access to the course (and updates)
KEY ASPECTS OF THIS STUDY
- Apache Spark will dominate the Big Data landscape by 2022 - Wikibon
- According to Indeed.com, the average Spark Developer salary is $180,000 per year.
Who develops this course?
edureka!
Bengaluru, India
The goal of edureka! is to create an alternative platform for students who want to continue and complete courses through live online courses, using a team of ridiculously committed educators who will stop at nothing to deliver education, aided by a 24x7 support system . By deploying our team of world-class industry experts. With a methodology of live classes and practically personalized instructors, edureka! seeks to educate our students with the skills they need to advance their professional life to the next level.
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