Course information

Spark Training for Python Developers Course Outline

Module 1: Set Up a Spark Virtual Environment

  • Data-Intensive Applications Architecture
  • Overview of Spark
  • Introduction to Anaconda
  • Setting a Spark Powered Environment
  • Building App with PySpark

Module 2: Building Batch and Streaming Apps with Spark

  • Architecting Data-Intensive Apps
  • Analysing the Data
  • Exploring GitHub

Module 3: Juggling Data with Spark

  • Serializing and Deserializing Data
  • Storing and Deleting Data
  • Processing Data

Module 4: Data Using Spark

  • Classifying Spark MLlib Algorithms
  • Spark MLlib Data Types
  • Reading and Writing Data with Spark
  • Introduction to Spark Structured Streaming

Module 5: Data Manipulation

  • Loading and Inspecting Data
  • Performing Data Transformations
  • Partitioning and Repartitioning Data
  • Caching and Persisting Data

Module 6: Visualising Insights and Trends

  • Pre-process Data for Visualisation
  • Creating Word Clouds

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Who should attend this Spark Training for Python Developers Course?

The Spark Training for Python Developers Course is a specialised course aimed at Python Developers keen to enhance their skills in Big Data processing using Apache Spark. This course can be beneficial a wide range of professionals, including:

  • Python Developers
  • Data Scientists
  • Machine Learning Engineers
  • Data Engineers
  • Data Analysts
  • DevOps Engineers
  • Project Managers

Prerequisites of the Spark Training for Python Developers Course

There are no formal prerequisites for this Spark Training for Python Developers Course. However, a basic understanding of SQL and Python programming would be beneficial for delegates.  

Spark Training for Python Developers Course Overview

The Spark Training for Python Developers Course provides a comprehensive understanding of Spark and its integration with Python, emphasising its relevance in harnessing big data, conducting efficient data processing, and unlocking powerful analytics and machine learning capabilities. As organisations continue to rely on data-driven decisions, proficiency in Spark for Python developers is a must-have skill.

Proficiency in Apache Spark is crucial for Data Engineers, Data Scientists, and Software Developers who aspire to work with big data, streamline data processing pipelines, and build scalable machine learning models. With the exponential growth of data, the ability to harness Spark's processing power and flexibility becomes paramount for professionals looking to enhance their career prospects in the data industry.

This intensive 2-day training equips delegates with the knowledge and practical skills needed to leverage Apache Spark effectively with Python. Delegates will gain hands-on experience in data manipulation, distributed computing, and creating data pipelines, ensuring they are well-prepared to tackle real-world big data challenges. By the end of the course, delegates will be able to develop Spark applications in Python, optimise data processing tasks, and execute advanced analytics with confidence.

Course Objectives:

  • To gain a solid understanding of Apache Spark and its ecosystem
  • To develop proficiency in using Python to interact with Spark
  • To learn to process and analyse big data efficiently
  • To master the art of creating data pipelines using Spark
  • To explore machine learning and advanced analytics with Spark and Python
  • To understand the best practices for optimising Spark applications
  • To acquire practical knowledge to solve real-world data challenges
  • To enhance your ability to work with distributed computing frameworks

After completing the course, delegates will receive a certification that validates their skills and knowledge. This certification is a valuable asset for your career, demonstrating your expertise in big data processing and analytics and opening doors to exciting opportunities in the data industry.

 

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What’s included in this Spark Training for Python Developers Course?

  • World-Class Training Sessions from Experienced Instructors 
  • Spark Training for Python Developers Certificate 
  • Digital Delegate Pack

Why choose us

Our Stuttgart venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Stuttgart is the largest and capital city of the German state of Baden-Württemberg. It is located in the Southwest of Germany and is the sixth largest city in the country. It has a population of approximately over 600,000 people; when combined with the Stuttgart Metropolitan Region, the population number increases to about 5.3 citizens. Education in Stuttgart is governed by the German state and education is compulsory for children up to the age 18. The educational system in Stuttgart is divided into four levels: Kindergarten Education, Elementary Education, Secondary Education, and Higher Education (tertiary education).

Stuttgart is not considered a traditional university city but provides a variety of Higher Education institutes including: University of Stuttgart founded in 1829 and is the fourth biggest university in Baden-Württemberg. University of Hohenheim which was established in 1818 and specialises in Agricultural Science and Forestry. The State Academy of Visual Arts Stuttgart was founded in 1961 and is the biggest art colleges across Germany.

The city is known for its German thought and literature figures including Georg Wilhelm Friedrich Hegel, Friedrich Schiller and Friedrich Hölderlin. Stuttgart is home to six of Germany's second-highest number of institutions of applied research of the Fraunhofer Society.

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Address

Offisto GmbH
Steiermärker Str. 3-5
70469
Stuttgart-Feuerbach
Germany

T: +49 8000101090

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led PySpark Course For Python Developers in Stuttgart. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's PySpark Course For Python Developers in Stuttgart, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's PySpark Course For Python Developers in Stuttgart. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led PySpark Course For Python Developers in Stuttgart sessions.

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Small class sizes

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Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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PySpark Course For Python Developers in Stuttgart FAQs

This course provides in-depth knowledge and hands-on experience with Apache Spark, focusing on leveraging Spark's distributed computing capabilities using Python. It covers everything from the basics of Spark to advanced topics like real-time data processing and machine learning.
Yes, PySpark is the Python API for Apache Spark. It allows Python developers to use Spark’s powerful distributed processing engine for big data tasks, making it easy to work within the familiar Python environment.
This course is ideal for Python Developers, Data Scientists, Data Engineers, and Analysts who want to enhance their skills in big data processing and leverage Apache Spark for scalable data analysis and machine learning.
The time required to learn Spark varies depending on your background. If you are already familiar with Python and basic data processing, you can become proficient in Spark within a few weeks to a few months of dedicated learning and practice.
Learning Spark enhances your ability to handle massive datasets efficiently, perform real-time data analytics, and scale your applications seamlessly across clusters. It’s an essential skill for tackling big data challenges in various industries.
Yes, the course includes sections on how to integrate Spark with other Big Data tools like Hadoop for storage, Hive for querying, and Kafka for real-time data streaming, ensuring a comprehensive understanding of the big data ecosystem.
You'll learn to develop and optimise Spark applications using PySpark, handle data using RDDs and DataFrames, perform machine learning with Spark MLlib, and integrate Spark with other big data technologies. By the end of the course, you’ll be able to build and deploy scalable big data solutions.
The course covers a wide range of topics, including Spark architecture, RDDs, DataFrames, SQL with Spark, machine learning with Spark MLlib, real-time data processing, and integration with Hadoop, Hive, and Kafka.
The course is structured into multiple modules, each focusing on different aspects of Spark.
To get the most out of this course, basic knowledge of Python programming is necessary, and a fundamental understanding of data processing concepts (e.g., working with datasets and basic SQL) is recommended.
In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
This course takes 2 days to complete, during which delegates participate in intensive learning sessions that cover various course topics.
Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.
No prior experience with Apache Spark is required. However, a strong foundation in Python and basic data processing will help you grasp the concepts more quickly.
The course will cover PySpark and Jupyter Notebooks for interactive coding, Hadoop for storage integration, Hive for querying, and Kafka for real-time data streaming. These tools provide a complete environment for learning and applying big data concepts.
Yes, you will have continued access to course materials for 90 days after course completion.
Upon successful completion of the course, you will receive a certificate of completion. This certification validates your expertise in using Apache Spark with Python, which can enhance your resume and career prospects.
To register for this course, please visit The Knowledge Academy’s Spark Training for Python Developers course page, select your preferred dates from the Dates and Prices section, make the payment and take advantage of the course materials.
Completing this course opens up several career opportunities, including roles such as Spark Developer, Big Data Engineer, Data Analyst, Data Scientist, and Data Architect. Organisations across various industries are in high demand for professionals skilled in big data technologies like Spark.
The Knowledge Academy in Stuttgart stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.
The training fees for Spark Training for Python Developersin Stuttgart starts from €2895
The Knowledge Academy is the Leading global training provider for Spark Training for Python Developers.
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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