Although this three day course is primarily for data scientists, it can be beneficial for analysts, architects, engineers and technical managers who would like to learn the basics of Apache spark and how it is related to machine learning. Through studying this course you will learn the architecture of Spark, core APIs, SQL and other high calibre data access tools. The streaming capabilities of Spark and its machine learning APIs will also be covered during the training. By the end of the course you should be able to:
Use the core Spark APIs to operate on data Articulate and implement typical use cases for Spark Build data pipelines and query large data sets using Spark SQL and DataFrames Analyze Spark jobs using the administration UIs inside Databricks Work with relational data using the GraphFrames APIs Understand how a Machine Learning pipeline works Use various ML algorithms to perform clustering, regression and classification tasks
We ensure quality. If your class doesn't reach your expectations, we'll give your money back.
This is a Flexitime class, which means the teacher can run this class around your schedule.
Time & Location
Select a date and location you want and your teacher will get back to you to confirm their availability.
About your host, Unicom
UNICOM has been providing business, IT and Quantitive Finance training since 1984. This includes conferences, public and in-house training courses (including certified training) and networking events.
UNICOM use market research, technology and business focused analysis and feedback from their customers to provide courses for both 'end-user' organisations who want to learn about new trends and best practices, gain knowledge, skills, qualifications and new strategies, as well as product vendors and consultants who want to meet potential customers and gain a better understanding of specific areas of business.
Flexible cancellation policy
Any class can be cancelled and fully refunded within 24 hours of purchase. See cancellation policy.