Detail kurzu

Data Engineering Workshop

EDU Trainings s.r.o.

Popis kurzu

For over 10 years, there has been an intense focus by companies to extract business value from their data.
Out of this activity, a role called the data scientist emerged. However, it quickly became obvious that a majority of a data scientist’s time was spent on data preparation or moving analytical models into production environments. Thus, the data engineer has emerged as a highly desirable and indispensable member of an analytics project team. This instructor-led workshop covers the content and hands-on lab exercises provided in the following five courses: Data Warehousing with SQL and NoSQL, ETL Offload with Hadoop and Spark, Processing Streaming and IoT Data, Building Data Pipelines with Python, and Data Governance, Security and Privacy for Big Data.
This training prepares the learner for a major portion of the Dell Technologies Proven Professional data engineering specialist-level certification exam (DES-7DE1)

Obsah kurzu

Upon successful completion of this course, participants should be able to:
Data Warehousing with SQL and NoSQL

Provide an overview of data warehouses
Explain the purposes of databases and their various types
Describe various SQL and NoSQL tools

ETL Offload with Hadoop and Spark

Identify business challenges with ETL (Extract-Transform-Load)
Explain ELT and ETL processes
Describe the Hadoop ecosystem as an ETL offload solution

Data Governance, Security and Privacy for Big Data

Describe data governance, roles, and responsibilities
Discuss data governance models
Describe metadata, metadata types and uses
Explain master data, framework, and purpose
Explain Hadoop security controls
Discuss data governance tools Apache Atlas, Ranger and Knox
Describe cloud security consideration
Explain GDPR and data ethics

Processing Streaming and IoT Data

Describe streaming and IoT data environments
Explain Kafka messaging system with examples
Explain the key features, architecture and various use cases of stream processing tools such as Storm, Spark Streaming, and Flink
Explain various IoT related projects such as Project Nautilus, Pravega, and EdgeX Foundry

Building Data Pipelines with Python

Write Python scripts to perform key data processing activities
Describe data pipelines and tools
Build data pipelines using Python

Cieľová skupina

This course is intended for data engineers, data scientists, data architects,
data analysts or anyone else who wants to learn and apply data engineering
principles and tools. Possible workshop participants include:


Current business and data analysts looking to add data engineering to their skillset


Database professionals looking to expand their Big Data skills


Managers of teams of business intelligence, analytics, and big data professionals
Certifikát Na dotaz.
Hodnotenie




Organizátor