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Apache Spark and Scala Training
Enhance your data processing and analytics skills with LSI's specialized training program on Apache Spark and Scala.
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Master Big Data Processing and Analytics
Designed to meet the industry benchmarks, LSIs Apache Spark and Scala certification is curated by top industry experts. This Apache Spark training is created to help you master Apache Spark and the Spark Ecosystem, which includes Spark RDD, Spark SQL, and Spark MLlib. This training is live, instructor-led & helps you master key Apache Spark concepts, with hands-on demonstrations. This Apache Spark course is fully immersive where you can learn and interact with the instructor and your peers. Enrol now in this Scala online training.
There are many benefits of taking Apache Spark and Scala Training, including:
What you will learn?
- Introduction To Big Data Hadoop And Spark
- Introduction To Scala For Apache Spark
- Functional Programming And OOPs Concepts In Scala
- Deep Dive Into Apache Spark Framework
- Playing With Spark RDDs
- Data Frames And Spark SQL
- Machine Learning Using Spark MLlib
- Deep Dive Into Spark MLlib
- Understanding Apache Kafka And Apache Flume
- Apache Spark Streaming - Processing Multiple Batches
How does this program work?
Weekly Live Q&A and Guest Sessions
For expert insights and answers to all your questions
Collaborative Jamming and Networking Sessions
Share ideas and solve problems in weekly community sessions to build a strong network
On Demand Content
Because we understand that fitting live sessions into your daily schedules can be tough
Community for life
You’ll be made part of a community of like-minded people where you can network, share opportunities, and build relations.
Frequently Asked Questions
The course is suitable for data professionals, data engineers, data analysts, software developers, and anyone interested in learning big data processing and advanced analytics using Apache Spark and Scala. It is beneficial for individuals working with large datasets and seeking to enhance their skills in data processing and analysis.
Basic knowledge of programming concepts and experience with a programming language is recommended. Familiarity with data processing concepts and some exposure to SQL and data manipulation will be beneficial. No prior experience with Apache Spark or Scala is required.
The course covers a range of topics, including Apache Spark architecture, data ingestion and transformation, RDDs (Resilient Distributed Datasets), DataFrame and Dataset APIs, Spark SQL, Spark Streaming, machine learning with MLlib, graph processing with GraphX, performance optimization, and integration with other big data tools.
No, having a Hadoop cluster is not necessary for learning Apache Spark. The course covers standalone mode, which allows you to run Spark on your local machine. However, familiarity with Hadoop concepts and its ecosystem can be advantageous.
Yes, the course includes hands-on exercises and projects to provide practical experience with Apache Spark and Scala. You will work on real-world datasets, perform data processing tasks, build analytics models, and gain proficiency in using Spark for big data analysis.
The course covers both batch processing and real-time streaming. You will learn how to process large datasets in batches using Spark’s core APIs, as well as perform real-time data processing using Spark Streaming for continuous data streams.
LSI provides dedicated support throughout the training. You will have access to instructors and technical experts who can assist you with any questions or challenges you may encounter during the course. Additionally, there will be discussion forums and interactive sessions for further guidance.
Yes, upon successful completion of the course, you will receive a certificate from LSI that validates your participation and the skills gained during the training. This certificate can enhance your professional profile and demonstrate your proficiency in Apache Spark and Scala.
Absolutely. The course emphasizes practical application and provides you with the knowledge and skills to handle real-world data processing and analytics tasks. You will work on hands-on exercises and projects that simulate real-world scenarios, preparing you for practical implementation.
Proficiency in Apache Spark and Scala is highly valued in the industry. By completing this course, you will acquire in-demand skills in big data processing and analytics, opening up opportunities for roles such as data engineer, big data analyst, data scientist, or Spark developer. These roles often come with excellent career prospects and competitive salaries.