Cloudera University’s three-day Spark course enables participants to build complete, unified big data applications combining batch, streaming, and interactive analytics on all their data. With Spark, developers can write sophisticated parallel applications for faster business decisions and better user outcomes, applied to a wide variety of use cases, architectures, and industries. This course is part of the developer learning path.Take Your Knowledge to the Next Level and Solve Real-World Problems with Training for Hadoop and the Enterprise Data Hub Cloudera University’s three-day training course for Apache Spark enables participants to build complete, unified big data applications combining batch, streaming, and interactive analytics on all their data. With Spark, developers can write sophisticated parallel applications to execute faster decisions, better decisions, and real-time actions, applied to a wide variety of use cases, architectures, and industries.
Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:
This course is best suited to developers and engineers with prior knowledge and experience with Hadoop.
Course examples and exercises are presented in Python and Scala, so knowledge of one of these programming languages is required. Basic knowledge of Linux is assumed.
Apache Spark is the next-generation successor to MapReduce. Spark is a powerful, opensource processing engine for data in the Hadoop cluster, optimized for speed, ease of use, and sophisticated analytics. The Spark framework supports streaming data processing and complex, iterative algorithms, enabling applications to run up to 100x aster than traditional Hadoop MapReduce programs.
Introduction to Spark
Working with RDDs in Spark
Aggregating Data with Pair RDDs
Writing and Deploying Spark Applications
Spark RDD Persistence
Basic Spark Streaming
Common Patterns in Spark Data Processing
Improving Spark Performance
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Engineering Services | HSBC Technology
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L&D Regional Delivery Specialist | GFHR GO New Delhi
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Yes, we do offer weekend classes for professionals in group or 1-to-1 Training depending upon the technology.
The administrative and sales staff works on weekdays (Monday - Friday). System Admins and Operation team are available on all days.
Yes, after you have paid the booking amount (which will be non–refundable in this case). Booking amount depends on the technology selected.
Training timings are from 9 am to 5 pm.
You can send the deposit by any of the following methods:-
Overseas credit card payments through PayPal involve a mark-up of up to 4% as surcharge.
We can provide customized 1-to-1 training for a technology as per your requirement.
Most exams can be booked once you are on the course (e.g. Microsoft, ITIL, VEEAM, EC-Council). Red Hat and some other exams have to be booked in advance.
Our training centers are available in Bangalore, Chennai, Hyderabad, Pune and Delhi.
We do not have facility to pay in installments
If the course fee has been paid for and RPS cancels the Course, a refund will be provided, else the courses are non-refundable.
We do not provide loan facility.