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The PySpark course is designed to provide you with the knowledge and skills needed to become a successful Big Data & Spark Developer. This PySpark online training will help you clear the CCA Spark and Hadoop Developer (CCA175) Examination. You will understand the basics of Big Data and Hadoop, along with how Spark enables in-memory data processing and runs much faster than Hadoop MapReduce. This course also covers RDDs, Spark SQL for structured processing, and different APIs offered by Spark, such as Spark Streaming, Spark MLlib, HDFS, Flume, Spark GraphX, and Kafka. The best PySpark online courses are an integral part of a Big Data Developer’s career path.
There are no prerequisites for the PySpark training course. Prior work experience is also not required. Knowledge of Python programming and SQL will be an added advantage.
You will learn about HDFS, Hadoop 2.x, the Spark ecosystem, Spark SQL, and MLlib. The course also covers real-time data processing with Kafka, Flume, and Spark Streaming. Additionally, you will work on practical projects using Edureka’s CloudLab.
You are required to complete all your assignments and Case Studies using the VM provided by Edureka. In case you have any doubts or questions, Edureka’s Support Team will be available 24/7 for prompt assistance.
It would help if you had good internet connectivity and a Mobile/tab/laptop/system installed with Zoom/Meet, which is required for the PySpark online training. In addition, we will provide Cloud LAB, a pre-configured environment with the necessary tools and services for executing your practicals.
Once payment is received, you will automatically receive a payment receipt and access information via email.
Spark Developer Using Python Certification
Edureka’s Apache Spark Developer using Python Certificate Holders work at 1000s of companies like
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Skip for nowAt the end of the PySpark Training, you will be assigned with real-life use-cases as certification projects to further hone your skills and prepare you for the various Spark Developer Roles. Following are few industry-specific case studies that are included in our Apache Spark Developer Certification Training.
Project 1- Domain: Financial
Statement: A leading financial bank is trying to broaden the financial inclusion for the unbanked population by providing a positive and safe borrowing experience. In order to make sure this underserved population has a positive loan experience, it makes use of a variety of alternative data--including telco and transactional information--to predict their clients' repayment abilities. The bank has asked you to develop a solution to ensure that clients capable of repayment are not rejected and that loans are given with a principal, maturity, and repayment calendar that will empower their clients to be successful.
Project 2- Domain: Transportation Industry
Business challenge/requirement: With the spike in pollution levels and the fuel prices, many Bicycle Sharing Programs are running around the world. Bicycle sharing systems are a means of renting bicycles where the process of obtaining membership, rental and bike return is automated via a network of joint locations throughout the city. Using this system people can rent a bike from one location and return it to a different place as and when needed.
Considerations: You are building a Bicycle Sharing demand forecasting service that combines historical usage patterns with weather data to forecast the Bicycle rental demand in real-time. To develop this system, you must first explore the dataset and build a model. Once it’s done you must persist the model and then on each request run a Spark job to load the model and make predictions on each Spark Streaming request
Yes, you will have lifetime access to the course material once you have enrolled in the course.
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