What does the Scalable Data Engineering with Apache Spark and Delta Lake course cover?
Scalable Data Engineering with Apache Spark and Delta Lake is covered here in 8 modules: Introduction to Apache Spark and Delta Lake: Overview of Apache Spark and its ecosystem, Setting up Apache Spark and Delta Lake: Installing and configuring Apache Spark, Data Ingestion and Processing with Apache Spark: Handling data quality issues and errors and 5 more.
How do you approach Scalable Data Engineering with Apache Spark and Delta Lake step by step?
The work is sequenced in 8 stages. It starts with Introduction to Apache Spark and Delta Lake: Overview of Apache Spark and its ecosystem, moves through Setting up Apache Spark and Delta Lake: Installing and configuring Apache Spark and Data Ingestion and Processing with Apache Spark: Handling data quality issues and errors, and ends at Final Project and Certification: Career guidance and.
What is in Module 1 of the Scalable Data Engineering with Apache Spark and Delta Lake course?
Module 1 is Introduction to Apache Spark and Delta Lake: Overview of Apache Spark and its ecosystem. It works through Overview of Apache Spark and its ecosystem, Introduction to Delta Lake and its benefits and understanding the importance of scalable data engineering. It sets the vocabulary the remaining 7 modules build on.
How is the Scalable Data Engineering with Apache Spark and Delta Lake course delivered?
The Scalable Data Engineering with Apache Spark and Delta Lake course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Scalable Data Engineering with Apache Spark and Delta Lake course cost?
The Scalable Data Engineering with Apache Spark and Delta Lake course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Apache Spark for Real-Time Data Engineering, Apache Spark Performance Tuning for Enterprise, Apache Spark Advanced Performance Tuning for Operational, Stop Rewriting Apache Spark Pipelines.
More answers: what you get with every course, refund policy, all help answers.
Mastering Scalable Data Engineering with Apache Spark and Delta Lake
Course Overview
This comprehensive course is designed to help you master the skills needed to engineer scalable data solutions using Apache Spark and Delta Lake. Through interactive and engaging lessons, you'll gain hands-on experience with real-world applications and develop a deep understanding of the underlying technologies.Course Features
- Interactive and Engaging: Bite-sized lessons, hands-on projects, and gamification to keep you motivated and engaged.
- Comprehensive and Personalized: Up-to-date and practical content, tailored to your needs and learning style.
- Expert Instructors: Learn from industry experts with extensive experience in data engineering and Apache Spark.
- Certification: Receive a certificate upon completion, issued by The Art of Service.
- Flexible Learning: Access course materials anytime, anywhere, on any device.
- User-Friendly: Intuitive interface, easy navigation, and clear instructions.
- Mobile-Accessible: Learn on-the-go, whenever and wherever you want.
- Community-Driven: Join a community of like-minded professionals, share knowledge, and get support.
- Actionable Insights: Apply your new skills to real-world projects and see immediate results.
- Lifetime Access: Enjoy ongoing access to course materials, even after completion.
- Progress Tracking: Monitor your progress, set goals, and celebrate your achievements.
Course Outline
Module 1. Introduction to Apache Spark and Delta Lake: Overview of Apache Spark and its ecosystem
- Overview of Apache Spark and its ecosystem
- Introduction to Delta Lake and its benefits
- Understanding the importance of scalable data engineering
Module 2. Setting up Apache Spark and Delta Lake: Installing and configuring Apache Spark
- Installing and configuring Apache Spark
- Setting up Delta Lake and integrating it with Apache Spark
- Configuring the development environment
Module 3. Data Ingestion and Processing with Apache Spark: Handling data quality issues and errors
- Reading and writing data with Apache Spark
- Data processing and transformation techniques
- Handling data quality issues and errors
Module 4. Working with Delta Lake: Optimizing Delta Lake performance
- Creating and managing Delta Lake tables
- Querying and analyzing data with Delta Lake
- Optimizing Delta Lake performance
Module 5. Data Engineering with Apache Spark and Delta Lake: Building scalable data architectures
- Designing and implementing data pipelines
- Building scalable data architectures
- Integrating Apache Spark and Delta Lake with other tools and systems
Module 6: Advanced Topics in Apache Spark and Delta Lake
- Machine learning and deep learning with Apache Spark
- Real-time data processing and streaming with Apache Spark
- Advanced Delta Lake features and best practices
Module 7. Case Studies and Real-World Applications: Case studies of successful data engineering projects
- Real-world examples of Apache Spark and Delta Lake in action
- Case studies of successful data engineering projects
- Lessons learned and best practices from industry experts
Module 8. Final Project and Certification: Career guidance and next steps
- Completing a final project that showcases your skills
- Receiving a certificate upon completion, issued by The Art of Service
- Career guidance and next steps