Big Data - Apache Spark and Python

This course will help you learn the in-depth concepts of Sparks Resilient Distributed Datastores, develop and grab the Spark jobs quickly with Python. By the end of this course, you may expect to understand scaling up to larger data sets using Amazon's Elastic MapReduce services and understand how Hadoop YARN distributes Spark across computing clusters.

Learning Objectives:

• Frame Big Data analysis problems as Spark problems.
• Use Amazon's Elastic MapReduce service to run your job on a cluster with Hadoop YARN.
• Install and run Apache Spark on a desktop computer or on a cluster.
• Use Spark's Resilient Distributed Datasets to process and analyze large data sets across many CPU's.
• Implement iterative algorithms such as breadth-first-search using Spark.
• Use the MLLib machine learning library to answer common data mining questions.
• Understand how Spark SQL lets you work with structured data.
• Understand how Spark Streaming lets your process continuous streams of data in real time.
• Tune and troubleshoot large jobs running on a cluster.
• Share information between nodes on a Spark cluster using broadcast variables and accumulators.
• Understand how the GraphX library helps with network analysis problems.

Career Opportunities:

In the entire world, Developers are leveraging the Spark framework in different languages. Such as Scala, Java, and Python. Basically, Apache Spark offers flexibility to run applications in their favorite languages. Also allows building new apps faster.

Around the globe, some large organizations have taken spark very seriously. Some popular companies like Amazon, Yahoo, Alibaba, eBay, Hitachi, Shopify, and many more. They have invested in talent around Spark. There is some ratio, in which jobs are available, such as in the batch processing of large data sets, 78% of them are engaged. Also, for event stream processing 60% required as support. Similarly, for fast, real-time data querying, around 56% are there. Moreover, at enhancing programming productivity 55% are aiming. Furthermore, there are some huge opportunities across industry segments, that includes:

• Telecommunication/Networking
• Banking and Finance
• Retail
• Software
• Media and Entertainment
• Consulting
• Healthcare
• Manufacturing
• IT
• Professional scientific and technical services

It is available for all the learners.

WIISE

What will you cover?:

• Getting Started with Spark
• Examples - Spark Basics
• Advanced Examples - Spark Programs
• Running Spark on a Cluster
• SparkSQL, DataFrames and DataSets
• Other Spark Technologies and Libraries
• Future Steps

WIISE is a 'Professional Learning Network'​ with a global outreach that helps anyone to learn anything to achieve personal and professional goals.

We bring top-rated interactive learning courses & certifications from across the world through respected Global Academic Institutes and Industry experts to our learners.

WIISE for Teams is a Smart training solution suitable for growing businesses (SMB’s) - deliver online cost-effective, on-demand training, staff engagement & Upskilling to their employees and customers. WIISE incorporates the latest micro-learning & social-learning techniques that provides fast and engaging training at a fraction of cost of traditional training methods.

WIISE is brought by respectable Learning services & Skill development company - PositiveShift Group - Silicon Valley CA USA, India (www.positiveshift.in). The company has been awarded unique Innovation partnership with National Skill Development Corporation (NSDC) and Ministry of Skill Development and Entrepreneurship, Govt of India.