Your cart is currently empty.
Intellipaat Spark training in London is a comprehensive course in Spark Streaming, SQL, Core, RDD and other components of this real-time analytical engine. Also, In this course, you will work on real-life industry projects to get hands-on experience and clear the industry certification. Get the best Spark and Scala course in London by the top Apache Spark Experts.
Intellipaat is a top e-learning institute in London providing the most comprehensive and industry-relevant Apache Spark and Scala course in London. This training seeks to provide in-depth knowledge and hands-on experience in some of the significant concepts such as Spark Streaming, Spark SQL, Graphs, parallel processing, Scala programming, etc.
In Intellipaat’s Apache Spark course, you will learn about:
Apache Spark training in London can be taken by:
There are no prerequisites for learning Spark online. However, a basic knowledge of database, SQL and query language can help.
The cost of the Spark Certification Exam in London is £227 GBP and the duration of the CCA Spark and Hadoop Developer Exam (CCA175) is 120 minutes.
The salary of a Spark Developer in London reaches up to £117,000 in a year.
London is increasingly emerging as the technology capital of the world providing the highest number of employment opportunities. In a booming economy like this, there is huge scope for companies to invest funds in Big Data technologies like Apache Spark and complementing it with the Scala programming language. Therefore, for aspirants who wish to kick-start their career in Spark and Scala, now is the time. Intellipaat offers the Spark certification training in London to help you grab the best jobs.
London is the flagship city of UK having the strongest technology sector in the country. Among the top UK-based technology firms, more than 50% have headquarters in London. In this fast-paced economy, companies need a smart technology like Apache Spark which can process streaming data in no time. As Scala enables firms to maximize productivity, the combination of Spark and Scala is a much sough-after technology in the market. By enrolling to our training program, you also get Intellipaat Apache Spark and Scala certification in London.
Apache Spark and Scala together increase the productivity of the Big Data cluster. Therefore, more and more aspirants are opting Apache Spark and Scala training online as it is highly in demand in the market. This training program helps you prepare for the Cloudera Spark and Hadoop Developer Certification (CCA175) exam with the help of real-time projects and assignments.
Talk To Us
We are happy to help you 24/7
Big Data Developer | Dallas
This is a great training program. The mentors and course instructors were interactive throughout the program. This course has helped me upskill myself in the numerous tools and technologies that work with Big Data. The experts hel...Read More
Computer Technical Specialist
Big Data Developer
Data Engineer | Pune
This e-learning institute has been extremely helpful for my career. The training program and interactive live lectures made it easy to master the concepts as per the industry demands. The curriculum was comprehensive and the train...Read More
Senior Software Engineer | Gurgaon
I had a great experience in learning from Intellipaat and it allowed me to gain the skills to be a Software Engineer from an Associate Consultant. The course instructors here helped me master the tools and techniques in the field....Read More
Senior Software Engineer
Program Manager | Pune
Intellipaat served as a great platform for me to learn the latest upgrades and skills in the technology as per industry requirements. I was working as a Microsoft Dynamics Consultant but after taking the training from Intellipaat,...Read More
Microsoft Dynamics Consultant
ETL Developer | Maharashtra
It is the best online course I have ever taken. The course instructors here helped me gain in-depth knowledge of all the topics that could help me shift my career from a Consultant to an ETL Developer. To get into this domain, I r...Read More
Splunk Administrator | Bangalore
I had a little knowledge in the field of IT and was working as a Support Executive in IBM. I learned the various concepts and techniques involved in Splunk through Intellipaat’s training which helped me move on to a career in this field and land a lucrative job.
57% Average Salary Hike
$1,28,000 Highest Salary
12000+ Career Transitions
300+ Hiring Partners
Self Paced Training
Online Classroom Preferred
Module 01 - Introduction to ScalaPreview
1.1 Introducing Scala
1.2 Deployment of Scala for Big Data applications and Apache Spark analytics
1.3 Scala REPL, lazy values, and control structures in Scala
1.4 Directed Acyclic Graph (DAG)
1.5 First Spark application using SBT/Eclipse
1.6 Spark Web UI
1.7 Spark in the Hadoop ecosystem.
Module 02 - Pattern MatchingPreview
Module 03 - Executing the Scala CodePreview
Module 04 - Classes Concept in ScalaPreview
Module 05 - Case Classes and Pattern MatchingPreview
Module 06 - Concepts of Traits with ExamplePreview
Module 07 - Scala–Java InteroperabilityPreview
Module 08 - Scala CollectionsPreview
Module 09 - Mutable Collections Vs. Immutable CollectionsPreview
Module 10 - Use Case Bobsrockets PackagePreview
10.1 Introduction to Scala packages and imports
10.2 The selective imports
10.3 The Scala test classes
10.4 Introduction to JUnit test class
10.5 JUnit interface via JUnit 3 suite for Scala test
10.6 Packaging of Scala applications in the directory structure
10.7 Examples of Spark Split and Spark Scala
Module 11 - Introduction to SparkPreview
11.1 Introduction to Spark
11.2 Spark overcomes the drawbacks of working on MapReduce
11.3 Understanding in-memory MapReduce
11.4 Interactive operations on MapReduce
11.5 Spark stack, fine vs. coarse-grained update, Spark stack, Spark Hadoop YARN, HDFS Revision, and YARN Revision
11.6 The overview of Spark and how it is better than Hadoop
11.7 Deploying Spark without Hadoop
11.8 Spark history server and Cloudera distribution
Module 12 - Spark BasicsPreview
12.1 Spark installation guide
12.2 Spark configuration
12.3 Memory management
12.4 Executor memory vs. driver memory
12.5 Working with Spark Shell
12.6 The concept of resilient distributed datasets (RDD)
12.7 Learning to do functional programming in Spark
12.8 The architecture of Spark
Module 13 - Working with RDDs in SparkPreview
13.1 Spark RDD
13.2 Creating RDDs
13.3 RDD partitioning
13.4 Operations and transformation in RDD
13.5 Deep dive into Spark RDDs
13.6 The RDD general operations
13.7 Read-only partitioned collection of records
13.8 Using the concept of RDD for faster and efficient data processing
13.9 RDD action for the collect, count, collects map, save-as-text-files, and pair RDD functions
Module 14 - Aggregating Data with Pair RDDsPreview
Module 15 - Writing and Deploying Spark ApplicationsPreview
15.1 Comparing the Spark applications with Spark Shell
15.2 Creating a Spark application using Scala or Java
15.3 Deploying a Spark application
15.4 Scala built application
15.5 Creation of the mutable list, set and set operations, list, tuple, and concatenating list
15.6 Creating an application using SBT
15.7 Deploying an application using Maven
15.8 The web user interface of Spark application
15.9 A real-world example of Spark
15.10 Configuring of Spark
Module 16 - Parallel ProcessingPreview
16.1 Learning about Spark parallel processing
16.2 Deploying on a cluster
16.3 Introduction to Spark partitions
16.4 File-based partitioning of RDDs
16.5 Understanding of HDFS and data locality
16.6 Mastering the technique of parallel operations
16.7 Comparing repartition and coalesce
16.8 RDD actions
Module 17 - Spark RDD PersistencePreview
17.1 The execution flow in Spark
17.2 Understanding the RDD persistence overview
17.3 Spark execution flow, and Spark terminology
17.4 Distribution shared memory vs. RDD
17.5 RDD limitations
17.6 Spark shell arguments
17.7 Distributed persistence
17.8 RDD lineage
17.9 Key-value pair for sorting implicit conversions like CountByKey, ReduceByKey, SortByKey, and AggregateByKey
Module 18 - Spark MLlibPreview
18.1 Introduction to Machine Learning
18.2 Types of Machine Learning
18.3 Introduction to MLlib
18.4 Various ML algorithms supported by MLlib
18.5 Linear regression, logistic regression, decision tree, random forest, and K-means clustering techniques
1. Building a Recommendation Engine
Module 19 - Integrating Apache Flume and Apache KafkaPreview
19.1 Why Kafka and what is Kafka?
19.2 Kafka architecture
19.3 Kafka workflow
19.4 Configuring Kafka cluster
19.6 Kafka monitoring tools
19.7 Integrating Apache Flume and Apache Kafka
1. Configuring Single Node Single Broker Cluster
2. Configuring Single Node Multi Broker Cluster
3. Producing and consuming messages
4. Integrating Apache Flume and Apache Kafka
Module 20 - Spark StreamingPreview
20.1 Introduction to Spark Streaming
20.2 Features of Spark Streaming
20.3 Spark Streaming workflow
20.4 Initializing StreamingContext, discretized Streams (DStreams), input DStreams and Receivers
20.5 Transformations on DStreams, output operations on DStreams, windowed operators and why it is useful
20.6 Important windowed operators and stateful operators
1. Twitter Sentiment analysis
2. Streaming using Netcat server
3. Kafka–Spark streaming
4. Spark–Flume streaming
Module 21 - Improving Spark PerformancePreview
Module 22 - Spark SQL and Data FramesPreview
22.1 Learning about Spark SQL
22.2 The context of SQL in Spark for providing structured data processing
22.3 JSON support in Spark SQL
22.4 Working with XML data
22.5 Parquet files
22.6 Creating Hive context
22.7 Writing data frame to Hive
22.8 Reading JDBC files
22.9 Understanding the data frames in Spark
22.10 Creating Data Frames
22.11 Manual inferring of schema
22.12 Working with CSV files
22.13 Reading JDBC tables
22.14 Data frame to JDBC
22.15 User-defined functions in Spark SQL
22.16 Shared variables and accumulators
22.17 Learning to query and transform data in data frames
22.18 Data frame provides the benefit of both Spark RDD and Spark SQL
22.19 Deploying Hive on Spark as the execution engine
Module 23 - Scheduling/PartitioningPreview
23.1 Learning about the scheduling and partitioning in Spark
23.2 Hash partition
23.3 Range partition
23.4 Scheduling within and around applications
23.5 Static partitioning, dynamic sharing, and fair scheduling
23.6 Map partition with index, the Zip, and GroupByKey
23.7 Spark master high availability, standby masters with ZooKeeper, single-node recovery with the local file system and high order functions
Free Career Counselling
We are happy to help you 24/7
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
Deploy Apache Spark for a movie recommendation system. Through this project, you will be working with Spark MLlib, collaborative filtering, clustering, regression, and dimensionality reduction. By the completion of this project, you w...Read More
Twitter API Integration for Tweet Analysis
integrate Twitter API for analyzing tweets. You can use any of the scripting languages, like PHP, Ruby, or Python, for requesting the Twitter API and get the results in JSON format. You will have to perform aggregation, filtering, and...Read More
Data Exploration Using Spark SQL – Wikipedia Data
This project will allow you to work with Spark SQL and combine it with ETL applications, real-time analysis of data, performing batch analysis, deploying Machine Learning, creating visualizations, and processing of graphs.
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
This course is designed for clearing the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam. Check our Hadoop training course for gaining proficiency in the Hadoop component of the CCA175 exam. The complete course is created by industry experts for professionals to get top jobs in the best organizations. The entire training includes real-world projects and case studies that are highly valuable.
Upon the completion of the training, you will have quizzes that will help you prepare for the CCA175 certification exam and score top marks.
The Intellipaat certification is awarded upon successfully completing the project work and after its review by experts. The Intellipaat certification is recognized in some of the biggest companies like Cisco, Cognizant, Mu Sigma, TCS, Genpact, Hexaware, Sony and Ericsson, among others.
Arguably, the best Spark Training in London from Intellipaat ticked all the right boxes for me. The best thing which I liked about the Apache Spark certification training was the opportunity to work o...Read More
I am glad that I took the Intellipaat Spark training online. The trainers offered quality training with real-world examples, and there was extensive interactivity throughout the training that made the...Read More
I firmly believe that Intellipaat is the perfect place to embark on a great professional career in the technology space. Their Apache Spark online course was praiseworthy.
I have had a great experience with Intellipaat learning about the newest technologies. The Apache Spark and Scala Certification Training has excellent course material, free tutorial content and videos...Read More
This course delivered everything. This online training course from Intellipaat is exactly what I wanted to understand Apache Spark and Scala in order to appear for the certification exam.
The quality of the course content is just awesome. Very happy to choose the right course for the career. Overall, a great set of tutorials.
A properly structured training that is simple to learn. Quality content
All videos are in-depth yet concise. I had no problem understanding the tough concepts. Wonderful job Intellipaat!
You have been extremely helpful for making me understand all demanding big data technologies at one place.
Intellipaat is the pioneer in Hadoop training in India. So, it pays to be with the market leader like Intellipaat to learn Spark and Scala and get the best jobs in top MNCs for top salaries. The Intellipaat training is the most comprehensive course that includes real-time projects and assignments which are designed by industry experts. The entire course content is fully aligned towards clearing the exam for the Apache Spark component of the Cloudera Spark and Hadoop Developer Certification (CCA175) exam.
Intellipaat offers lifetime access to videos, course materials, 24/7 support and course material upgrades to the latest version at no extra fee. For Hadoop and Spark training, you get the Intellipaat Proprietary Virtual Machine for lifetime and free cloud access for 6 months for performing training exercises. Hence, it is clearly a one-time investment.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.
You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in 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 decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.