+44 7459 302492
info@uplatz.com
Spark Training
Welcome to Uplatz, the biggest IT & SAP training provider in Europe!
Uplatz is well known for providing instructor-led training and video-based courses on SAP, Oracle, Salesforce, AWS, Big Data, Machine Learning, Python, R, SQL, Google & Microsoft Technologies, and Digital Marketing.
SAP and AWS training courses are currently the most sought-after courses globally.
An SAP consultant on an average earns a package of $80,000 ($100,000) per annum based on the skills and experience.
To learn this course -
1) Pay the course fees directly through secured payment gateway by clicking "Pay Now" and relax. After this Uplatz team will take over and get the course conducted for you.
2) If you are based in UK or India, you can directly pay to our respective bank accounts. To do this, you just need to send an email to info@uplatz.com and the Uplatz team will respond back with the details.
For any questions, queries, or payment related issues, simply contact us at -
Call: +44 7836 212635
WhatsApp: +44 7836 212635
Email: info@uplatz.com
https://training.uplatz.com
Learn the fundamentals of Spark, the technology that is revolutionizing the analytics and big data world!
Spark is an open source processing engine built around speed, ease of use, and analytics. If you have large amounts of data that requires low latency processing that a typical MapReduce program cannot provide, Spark is the way to go.
- Learn how it performs at speeds up to 100 times faster than Map Reduce for iterative algorithms or interactive data mining.
- Learn how it provides in-memory cluster computing for lightning fast speed and supports Java, Python, R, and Scala APIs for ease of development.
- Learn how it can handle a wide range of data processing scenarios by combining SQL, streaming and complex analytics together seamlessly in the same application.
- Learn how it runs on top of Hadoop, Mesos, standalone, or in the cloud. It can access diverse data sources such as HDFS, Cassandra, HBase, or S3.
Spark Training
- Module 1 - Introduction to Spark - Getting started
- What is Spark and what is its purpose?
- Components of the Spark unified stack
- Resilient Distributed Dataset (RDD)
- Downloading and installing Spark standalone
- Scala and Python overview
- Launching and using Spark’s Scala and Python shell ©
- Module 2 - Resilient Distributed Dataset and DataFrames
- Understand how to create parallelized collections and external datasets
- Work with Resilient Distributed Dataset (RDD) operations
- Utilize shared variables and key-value pairs
- Module 3 - Spark application programming
- Understand the purpose and usage of the SparkContext
- Initialize Spark with the various programming languages
- Describe and run some Spark examples
- Pass functions to Spark
- Create and run a Spark standalone application
- Submit applications to the cluster
- Module 4 - Introduction to Spark libraries
- Understand and use the various Spark libraries
- Module 5 - Spark configuration, monitoring and tuning
- Understand components of the Spark cluster
- Configure Spark to modify the Spark properties, environmental variables, or logging properties
- Monitor Spark using the web UIs, metrics, and external instrumentation
- Understand performance tuning considerations
