Engineering Data Ecosystems: Pipelines, ETL, Spark
This introductory course simplifies data ecosystems for aspiring data engineers, focusing on building and optimizing data pipelines, mastering ETL workflows, and exploring big data processing with Apache Spark.
Overview
This course includes:
- 2 hours of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
Welcome to "Engineering Data Ecosystems: Pipelines, ETL Workflows, and Big Data Handling with Spark," a course designed to propel you into the dynamic world of data engineering. This course is your gateway to understanding how data moves, is processed, and ultimately drives the digital landscape. Through engaging lessons and real-world case studies, you'll gain the confidence to design, manage, and optimize data pipelines, perform efficient ETL processes, and harness the power of Apache Spark to tackle big data challenges head-on. Get ready to transform your data skills and unlock endless possibilities in the data-driven world.
By completing this course, learners will master designing data pipelines, managing ETL processes, leveraging Apache Spark for big data, and transforming raw data into actionable insights for effective decision-making and optimization.
Skills You Will Gain
Learning Outcomes (At the end of this program you will be able to)
- Identify and describe the components and importance of data ecosystems.
- Understand the basic structure and function of data pipelines.
- Recognize the steps involved in ETL workflows and their role in data handling.
- Gain an introductory knowledge of big data and the application of Apache Spark.
Prerequisites
Participants should have a general interest in data and a basic understanding of programming concepts. Familiarity with database systems will be helpful, but prior experience with Spark is not required. An interest in big data and data analytics will enrich your learning experience throughout the course.
Who Should Attend
This course is ideal for aspiring data engineers, software developers, database administrators, and IT professionals looking to expand their skills in data handling and processing. Additionally, analysts and business professionals interested in data technologies will find the course beneficial for enhancing their understanding of the fundamental processes behind data ecosystems and big data.
Curriculum
Instructors
Frequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.
Are Starweaver's courses designed for beginners or advanced students?
Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.
What payment options are available for Starweaver courses?
We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.
Do you offer refunds?
Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.
