Spark with Scala Training
Spark with Scala Course:
Spark is one of those technology which promises to change the world & it's not too late to announce that it has already started. This Spark course conducted in Pune & many other places is designed in such a way that you no longer will be a viewer of this change, rather be a part of it. This Spark training program starts from fundamental aspects of Spark & goes till deployment. Right from creating Spark business problem to data wrangling to pre-processing followed by model training all the aspects will be covered. Projects are integral part of this Spark training program & regular hackathons are conducted in Pune. For other places, online hackathons are conducted. We have also conducted corporate Spark training with assessment at many of our client office location as a part of our continues engagement. Spark can also be used for machine learning & streaming. We also learn about kafka integration with Spark. Spark is one of the most trended technology in Big Data world. Some of the projects we do as a part of Spark course includes - credit risk, sales prediction, data mining, healthcare projects, insurance predictions, cloth design pattern, text analysis for named entity, sentiment analytics, time series and many more. Graded assignments are integral part of the Spark course. After completion of this Spark training program a certification provision is also there. These certification is accredited by different companies & candidates who have cleared this are absorbed after a few screening rounds by the companies. This Spark course is updated every alternative month as per input from different corporate. Our services are present all over the India majorly covering notable cities like Bangalore, Hyderabad, Kolkata, Kochi, Chennai, Delhi, Mumbai, Gurgaon, Noida and also in most of the non-major cities. Write to us if trainings are needed [email protected] Some of our clients are - GE - Pune, IBM - Banglore, Pune,Kolkata, Infosys - Pune, Epsilon - Pune, TCS - Bangalore, Pune, Emerson - Pune & Many more.
Spark with Scala Course Curriculum
What Is Apache Spark?
Spark Core
Spark Streaming
GraphX
Who Uses Spark, and for What?
Data Processing Applications
Spark Versions and Releases
Downloading Spark
Introduction to Core Spark Concepts
Initializing a SparkContext
RDD Basics
RDD Operations
Actions
Passing Functions to Spark
Basic RDDs
Persistence (Caching)
Motivation
Transformations on Pair RDDs
Grouping Data
Sorting Data
Data Partitioning (Advanced)
Operations That Benefit from Partitioning
Example: PageRank
Motivation
Text Files
Comma-Separated Values and Tab-Separated Values
Object Files
File Compression
Local/“Regular” FS
HDFS
Apache Hive
Databases
Cassandra
Elasticsearch
Introduction
Accumulators and Fault Tolerance
Broadcast Variables
Working on a Per-Partition Basis
Numeric RDD Operations
Introduction
The Driver
Cluster Manager
Packaging Your Code and Dependencies
A Scala Spark Application Built with sbt
Scheduling Within and Between Spark Applications
Standalone Cluster Manager
Apache Mesos
Which Cluster Manager to Use?
Configuring Spark with SparkConf
Finding Information
Driver and Executor Logs
Level of Parallelism
Memory Management
Linking with Spark SQL
Initializing Spark SQL
SchemaRDDs
Loading and Saving Data
Parquet
From RDDs
Working with Beeline
User-Defined Functions
Hive UDFs
Performance Tuning Options
A Simple Example
Transformations
Stateful Transformations
Input Sources
Additional Sources
Checkpointing
Worker Fault Tolerance
Processing Guarantees
Performance Considerations
Level of Parallelism
Overview
Machine Learning Basics
Data Types
Algorithms
Statistics
Clustering
Dimensionality Reduction
Tips and Performance Considerations
Configuring Algorithms
Caching RDDs to Reuse
Level of Parallelism
Frequently Asked Questions
This "Spark with Scala" course is an instructor-led training (ILT). The trainer travels to your office location and delivers the training within your office premises. If you need training space for the training we can provide a fully-equipped lab with all the required facilities. The online instructor-led training is also available if required. Online training is live and the instructor's screen will be visible and voice will be audible. Participants screen will also be visible and participants can ask queries during the live session.
Participants will be provided "Spark with Scala"-specific study material. Participants will have lifetime access to all the code and resources needed for this "Spark with Scala". Our public GitHub repository and the study material will also be shared with the participants.
All the courses from zekeLabs are hands-on courses. The code/document used in the class will be provided to the participants. Cloud-lab and Virtual Machines are provided to every participant during the "Spark with Scala" training.
The "Spark with Scala" training varies several factors. Including the prior knowledge of the team on the subject, the objective of the team learning from the program, customization in the course is needed among others. Contact us to know more about "Spark with Scala" course duration.
The "Spark with Scala" training is organised at the client's premises. We have delivered and continue to deliver "Spark with Scala" training in India, USA, Singapore, Hong Kong, and Indonesia. We also have state-of-art training facilities based on client requirement.
Our Subject matter experts (SMEs) have more than ten years of industry experience. This ensures that the learning program is a 360-degree holistic knowledge and learning experience. The course program has been designed in close collaboration with the experts working in esteemed organizations such as Google, Microsoft, Amazon, and similar others.
Yes, absolutely. For every training, we conduct a technical call with our Subject Matter Expert (SME) and the technical lead of the team that undergoes training. The course is tailored based on the current expertise of the participants, objectives of the team undergoing the training program and short term and long term objectives of the organisation.
Drop a mail to us at [email protected] or call us at +91 8041690175 and we will get back to you at the earliest for your queries on "Spark with Scala" course.
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