Master Apache Spark with Cloudera Data Engineering: Comprehensive Course

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Cloudera Data Engineering: Developing Applications with Apache Spark Course Overview

Cloudera Data Engineering: Developing Applications with Apache Spark certification evaluates an individual's capability to design, build, and maintain data processing systems using Apache Spark. This globally recognized certification affirms an individual's expertise in handling large-scale data processing tasks and creating robust, distributed data applications. It emphasizes concepts such as distributed processing, Spark architecture, data transformation, and performance optimization. Industries utilize individuals with this certification to manage and analyze big data comprehensively, streamlining business operations and improving decision-making processes. This proficiency in Apache Spark offers a competitive edge, empowering businesses to leverage data efficiently in today's data-driven world.

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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: Introduction to Zeppelin
  • Why Notebooks?
  • Zeppelin Notes
  • Demo: Apache Spark In 5 Minutes
  • HDFS Overview
  • HDFS Components and Interactions
  • Additional HDFS Interactions
  • Ozone Overview
  • Exercise: Working with HDFS
  • YARN Overview
  • YARN Components and Interaction
  • Working with YARN
  • Exercise: Working with YARN
  • The Disk Years: 2000 ->2010
  • The Memory Years: 2010 ->2020
  • The GPU Years: 2020 ->
  • Resilient Distributed Datasets (RDDs)
  • Exercise: Working with RDDs
  • Introduction to DataFrames
  • About Hive
  • Hive and Spark Integration
  • Exercise: Spark Integration with Hive
  • Introduction to Data Visualization with Zeppelin
  • Zeppelin Analytics
  • Zeppelin Collaboration
  • Exercise: AdventureWorks
  • Shuffle
  • Skew
  • Order
  • Spark Distributed Processing
  • Exercise: Explore Query ExecutionOrder
  • DataFrame and Dataset Persistence
  • Persistence Storage Levels
  • Viewing Persisted RDDs
  • Exercise: Persisting DataFrames
  • Writing a Spark Application
  • Building and Running an Application
  • Application Deployment Mode
  • The Spark Application Web UI
  • Configuring Application Properties
  • Exercise: Writing, Configuring, and Running a Spark Application
  • Introduction to Structured Streaming
  • Exercise: Processing Streaming Data
  • What is Apache Kafka?
  • Apache Kafka Overview
  • Scaling Apache Kafka
  • Apache Kafka Cluster Architecture
  • Apache Kafka Command Line Tools
  • Receiving Kafka Messages
  • Sending Kafka Messages
  • Exercise: Working with Kafka Streaming Messages
  • Streaming Aggregation
  • Joining Streaming DataFrames
  • Exercise: Aggregating and Joining Streaming DataFrames
  • Working with Datasets in Scala
  • Exercise: Using Datasets in Scala
Live Online Training (Duration : 32 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

1900 + If you accept merging of other students. Per Participant & excluding VAT/GST
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1400 Per Participant & excluding VAT/GST
Online
02 - 05 Oct 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
06 - 09 Nov 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Cloudera Data Engineering: Developing Applications with Apache Spark
Course Prerequisites
• Proficiency in Java, Scala, or Python programming
• Basic knowledge of Linux command lines
• Understanding of data structures and algorithms
• Familiarity with distributed computing concepts
• Familiarity with SQL or any relational database
• Previous experience with Hadoop and Spark.

Cloudera Data Engineering: Developing Applications with Apache Spark Certification Training Overview

The Cloudera Data Engineering training course provides extensive knowledge on Apache Spark, aimed at building large-scale data processing applications. It equips learners with skills to develop, tune, and deploy Spark applications. The curriculum covers fundamental concepts including Spark architecture, Spark shell commands, Spark Streaming, machine learning with Spark, among others. This certification training is ideal for developers, data analysts, data scientists, and data engineers looking to harness Spark for advanced data processing.

Why Should You Learn Cloudera Data Engineering: Developing Applications with Apache Spark?

Learning the Cloudera Data Engineering course can exponentially improve your skills in processing large data sets. It equips participants with the ability to develop applications using Apache Spark, enables data-driven decision making, and offers a competitive edge in the data analytics industry. It also opens up new career opportunities in the field of data engineering.

Target Audience for Cloudera Data Engineering: Developing Applications with Apache Spark Certification Training

- Data engineers seeking to master real-time analytics
- IT professionals interested in big data analytics
- Developers aiming to learn Apache Spark
- Business Intelligence Specialists
- Data Scientists looking to enhance data processing skills
- Big Data Hadoop Professionals pursuing advanced data engineering concepts.

Why Choose Koenig for Cloudera Data Engineering: Developing Applications with Apache Spark Certification Training?

• Certified Instructors: Koenig deploys instructors qualified in Cloudera Data Engineering and Apache Spark, ensuring high-quality training.
• Boosts your Career: The certified training increases job prospects and career advancement in big data and analytics.
• Customized Training Program: Koenig tailors the program as per individual requirements guaranteeing relevant skills.
• Destination Training: The institute offers onsite training, gaining practical exposure.
• Affordable Pricing: Their certified courses are offered at cost-effective prices.
• Top Training Institute: Koenig is renowned globally for their premier IT training.
• Flexible Dates: Individuals have the option to choose training dates as per convenience.
• Online Training: The institute provides instructor-led online training giving an interactive learning experience.
• Wide Range of Courses: They offer a plethora of courses to choose from.
• Accredited Training: Koenig offers authorized and recognized training, ensuring reliability and credibility.

Cloudera Data Engineering: Developing Applications with Apache Spark Skills Measured

After completing Cloudera Data Engineering: Developing Applications with Apache Spark certification training, an individual can earn skills such as understanding how Spark fits into the Hadoop ecosystem, manipulating data with Spark, query data effectively with Spark SQL, and applying machine learning and graph analysis techniques. Moreover, they will also learn about building, scaling, and deploying Spark applications, and how to optimize Spark's performance. Additionally, they would gain in-depth knowledge of RDDs, DataFrames, and Datasets to read, process, and analyze large datasets.

Top Companies Hiring Cloudera Data Engineering: Developing Applications with Apache Spark Certified Professionals

Top companies like IBM, Accenture, Amazon, Wells Fargo, and Capital One are actively seeking Cloudera Data Engineering professionals with Apache Spark certification. These professionals are in high demand due to their skills in developing applications and handling large-scale data processing tasks.

Learning Objectives - What you will Learn in this Cloudera Data Engineering: Developing Applications with Apache Spark Course?

The learning objectives of the Cloudera Data Engineering: Developing Applications with Apache Spark course include gaining in-depth knowledge and skills on Apache Spark and understanding its role in the Big Data ecosystem. Participants will learn how to write Spark-based applications and incorporate and manipulate data from various sources. They will understand how to operate, monitor, and troubleshoot Spark apps and clusters for performance optimization. The course aims to instill knowledge about Spark's foundational concepts, its API, architecture, and practical uses. Ultimately, participants should be able to create comprehensive data solutions, thus leveraging Spark for machine learning, real-time data processing, and graph processing.

FAQ's

You can pay through debit/credit card or bank wire transfer.
Yes you can request your customer experience manager for the same.
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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Yes, we do offer corporate training More details
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Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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Buy-Now. Pay-Later option is available using credit card in USA and India only.
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Yes, course requiring practical include hands-on labs.
No, the published fee includes all applicable taxes.
Yes, we do.
Yes, Koenig Solutions is a Cloudera Learning Partner
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).

Prices & Payments

Yes, We are
Yes of course.

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.
Medical services in India are at par with the world and are a fraction of costs in Europe and USA. A number of our students have scheduled cosmetic, dental and ocular procedures during their stay in India. We can provide advice about this, on request.
Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.
Says our CEO-
“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)