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Intellipaat’s Spark Master’s Training is designed by experts in the industry. In this certification program, you will come across the significant concepts and modules such as Python, Python libraries and frameworks, Spark, Pyspark, Scala, etc. and become proficient in the same. Further, in this certification program, you will attain all the necessary skills to become a professional in this domain. Throughout the entire duration of this training program, we will offer 24 hours of online assistance wherein you can effortlessly clear all yourRead More..
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Course PreviewThis course covers Scala code execution, classes in Scala, mutable vs. immutable collections, Spark applications, and more. Complete this course to become proficient in Spark and qualify for related job roles.
In this course, you will cover the following concepts:
To take up this course, you need to have a good knowledge of Python or any other programming language. Besides, you must have a good understanding of SQL or any other database query language. Moreover, having experience working with UNIX or Linux systems can be beneficial for you.
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Troubleshoot and recommend code analysis of Spark in order to deal with complex problems on Spark SQL, Spark core internals, Databricks Delta, and Structured Streaming.
Develop a collection of libraries accelerated by GPU for Machine Learning, data analytics, and data processing.
Create and optimize the distributed computing strategy of the DAG execution.
Use your technical knowledge in the various Software Development Life Cycle stages, like design and application architecture definition.
Integrate Databricks into the ecosystems of Azure from both consultative and administrative standpoint.
Design, integrate, and implement tasks that help to manage marketing and sales data.
Spark RDDs
Data frames
Flume
Python
Web scrapping
Scala collections
Databricks
Azure portal
Spark ML application
Spark using Java
MLLib
RDD persistence
Apache Kafka
NumPy
SciPy
Matplotlib
Linux Admin
$702
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40 Hours 11 Module
PreviewModule 01 – Java Fundamentals
Module 02 – Object oriented programming
Module 03 – Java Collections
Module 04 – Java Packages
Module 05 – Introduction to XML
Module 06 – Java Database Connectivity
Module 07 – Java Servlets
Module 08 – Java Server Page
Module 09 – Spring and Hibernate Frameworks
Module 10 – Advanced Spring and AJAX
Module 11 – Service Oriented Architecture
24 Hours 23 Module
PreviewModule 01 – Introduction to Scala
Module 02 – Pattern Matching
Module 03 – Executing the Scala Code
Module 04 – Classes Concept in Scala
Module 05 – Case Classes and Pattern Matching
Module 06 – Concepts of Traits with Example
Module 07 – Scala–Java Interoperability
Module 08 – Scala Collections
Module 09 – Mutable Collections Vs. Immutable Collections
Module 10 – Use Case Bobsrockets Package
Module 11 – Introduction to Spark
Module 12 – Spark Basics
Module 13 – Working with RDDs in Spark
Module 14 – Aggregating Data with Pair RDDs
Module 15 – Writing and Deploying Spark Applications
Module 16 – Parallel Processing
Module 17 – Spark RDD Persistence
Module 18 – Spark MLlib
Module 19 – Integrating Apache Flume and Apache Kafka
Module 20 – Spark Streaming
Module 21 – Improving Spark Performance
Module 22 – Spark SQL and Data Frames
Module 23 – Scheduling/Partitioning
42 Hours 12 Module
PreviewModule 01 – Python Environment Setup and Essentials
Module 02 – Python language Basic Constructs
Module 03 – OOP concepts in Python
Module 04 – Database connection
Module 05 – NumPy for mathematical computing
Module 06 – SciPy for scientific computing
Module 07 – Matplotlib for data visualization
Module 08 – Pandas for data analysis and machine learning
Module 09 – Exception Handling
Module 10 – Multi Threading & Race Condition
Module 11 – Packages and Functions
Module 12 – Web scraping with Python
24 Hours 13 Module
PreviewModule 01 – Introduction to the Basics of Python
Module 02 – Sequence and File Operations
Module 03 – Functions, Sorting, Errors and Exception, Regular Expressions, and Packages
Module 04 – Python: An OOP Implementation
Module 05 – Debugging and Databases
Module 06 – Introduction to Big Data and Apache Spark
Module 07 – Python for Spark
Module 08 – Python for Spark: Functional and Object-Oriented Model
Module 09 – Apache Spark Framework and RDDs
Module 10 – PySpark SQL and Data Frames
Module 11 – Apache Kafka and Flume
Module 12 – PySpark Streaming
Module 13 – Introduction to PySpark Machine Learning
20 Hours 6 Module
PreviewModule 01 – Databricks Spark
6 Hours 2 Module
PreviewModule 01 – Spark Using Java
24 Hours 9 Module
PreviewModule 01 – Introduction to NoSQL and MongoDB
Module 02 – MongoDB Installation
Module 03 – Importance of NoSQL
Module 04 – CRUD Operations
Module 05 – Data Modeling and Schema Design
Module 06 – Data Management and Administration
Module 07 – Data Indexing and Aggregation
Module 08 – MongoDB Security
Module 09 – Working with Unstructured Data
12 Hours 12 Module
PreviewModule 01 – Linux Installation and Initialization (Automated)
Module 02 – Package management & Process monitoring
Module 03 – Services, Utilities, Important Files and Directories
Module 04 – Understanding SystemD
Module 05 – Linux User Administration
Module 06 – File System Management (Generic & LVM)
Module 07 – Advanced File System Management (Software RAID)
Module 08 – Server-Client Configurations (FTP / SFTP / HTTP)
Module 09 – Configuring Samba and SMTP
Module 10 – Firewall & IP Tables
Module 11 – Database Configuration (MySQL / Mariadb)
Module 12 – Using Control Panels to Manage Linux Servers (Webmin)
Projects will be a part of your Spark Master’s program to consolidate your learning. It will ensure that you have real-world experience in Spark.
The Spark Master certification course is created in collaboration with Microsoft, two of the most leading organizations in the world. The video sessions available in this training will help you grasp all the significant concepts of Spark Master and acquire the necessary skill-sets.
After this training program, you will be capable of clearing the following certifications:
Land Your Dream Job Like Our Alumni
Intellipaat offers one of the best online Master’s courses for Spark. This course aims to help you master all the significant concepts of Spark, Python, Scala, and PySpark. Further, this online training will assist you in acquiring all the necessary skills required to become a Spark professional. Besides, throughout the duration of the course, we will provide 24-hour support.
You will have complete access to the course material and video lectures at no additional cost. After the course, you will work on assignments and real-time projects on certain modules that will give you an idea of your grasp of the concepts learned. You will also receive Spark certification not only from Intellipaat but also from Microsoft. Additionally, we will also provide job assistance via mock interviews, along with, resume preparation.
Intellipaat offers courses on Big Data Hadoop, Data Scientist course, Machine Learning, Artificial intelligence, Python Certification Training Course, Python for Data Science, Data Analysis Course, Business Analytics
If you are looking for free resources on Spark then read our blogs on Spark tutorial, and Spark Interview Questions.
3 technical 1:1 sessions per month will be allowed.
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
No, our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.
