Masterclass: Secure Data Engineering in the Azure Cloud

Live Virtual Class – Super Intensive Remote Training with Labs!
(9:00am – 4:00pm CET Monday to Wednesday)

Register now - ask for price

Masterclass: Secure Data Engineering in the Azure Cloud

This is an international Live Virtual Class where you will be able to share the learning experience with a group of IT pros from around the world without leaving your home or office! The class is taught fully remotely in English by CQURE Cybersecurity Experts. In order to ensure the highest quality and unique learning experience, the course is limited to 12 participants by default, or supported by an assistant instructor if the number of delegates exceeds 12. During this course, you will have the opportunity to go through CQURE’s custom lab exercises, interact with our world-renowned Expert and receive a lifelong certification after completing the course!

Upcoming Live Virtual Classes

Live Virtual Class Length Start Date Instructor
Register Now 3 days-21h 23.10.2023 Damian Widera

See the schedule of our all Live Virtual Classes

Loads of Knowledge

In the modern world, every organization relies on data more every day. Businesses tend to deal with large amount of data which could be spread across various sources and to effectively analyze it – it is crucial to consolidate it into one key location. The modern era  posed us with many challenges – especially in the Data sector as it is getting harder to connect all the dots together. Microsoft’s Azure Cloud is a great solution that makes it easier to manage and analyze the data that we deal with across various sources.

This intense hands-on training if perfect for anyone that has experience with Windows Servers, SQL Servers and deals with or is interested in data management and analysis. During the training, you will gain hands-on experience on how to choose and work with the compute and storage options for data engineering workloads, deep-dive into Azure Data Lake and Databricks. Moreover, you will also go through the key aspects of Azure Synapse Analytics and you will have the chance to become the master of Hybrid Transactional Analytical Processing. By the end of the training you will also gain practical knowledge on data transformation and data movement orchestration using Azure Data Factory and Realtime stream processing!

The training is though and authored by one of the best Experts in the data field – Microsoft’s Data Platform MVP Damian Widera.

The course is an intense workshop! During these 3 days we recommend a good cup of coffee – this course is really intense and in order not to miss a thing you MUST stay awake!

To get more practice we offer three extra weeks of labs online!

This course is ideal for:

Data engineers, developers, IT professionals, database administrators, security consultants and other people responsible for creating, implementing and maintaining cloud data platform solutions.

To attend this training you should have good hands-on experience in administering Microsoft SQL Server infrastructure. At least 2 years in the field is recommended.

Unique exercises:

All exercises are based on Azure Cloud. with additional Linux and virtual network appliances that covers common scenarios. After the workshop, you will receive PowerPoint slides, tools and lab instructions.

Platform and Technical Requirements:

To participate in the course you need a Stable internet connection. For best learning experience we also need you to have a webcam, headphones and a microphone. Open RDP port 3391 for the connection to the Lab environment is needed as well. We will setup a secure Zoom classroom for every day of the course – we will send you a safe link to join the conference by e-mail.

Certification:

After finishing the course, you will be granted a CQURE Certificate of Completion. Please note that after completing the course you will also be eligible for CPE points!

COURSE FORMULA

Remote Delivery

We are Experts in remote delivery. In the past year, we have organized over 200 days of trainings and we have tested many solutions. The experience remains the same as in the case of face-to-face trainings – a personalized, lab intense training with a lot of interaction between you and the instructor.

Virtual Labs

You will be granted a lab access for the duration of the training and a complementary access for additional 3 weeks after the training concludes with new challenging exercise instructions. With the extra self-study materials, you will be able to refresh your knowledge, acquire new skills and practically apply the techniques you have just learned.

Lifelong Certification

What is wonderful about our certification is that it is lifetime valid with no renewal fees – the technology changes, but fundamentals and attitude remain mostly the same. Our Virtual Certificates, which entitle you to collect CPE Points, are issued via Accredible.

COURSE SYLLABUS

Module 1

How to choose and work with the compute and storage options for data engineering workloads?

  1. Microsoft Azure services for data engineering
  2. Reference architecture for the data engineering workloads
  3. Azure Storage account configuration
  4. Secure data in the Azure Storage

Module 2

Explore and design Data Lake

  1. Why do we need a Data Lake?
  2. Security design of a Data Lake
  3. Data Lake performance

Module 3

Benefits and challenges of the Delta Lake

  1. Why do we need to create a Delta Lake?
  2. Usage patterns of the Delta Lake in data engineering workloads
  3. Challenges of the Delta Lake – transaction handling

Module 4

Azure Databricks

  1. Create and configure the cluster
  2. Perform data engineering tasks – work with data frames, perform ETL operations in Scala and Python
  3. Integrate Databricks with CosmosDB, Azure SQL Database and Azure Storage
  4. Working with the Delta Lake

Module 5

Azure Synapse Analytics – serverless pool

  1. Prepare for the explorative analytics
  2. Working with the metadata
  3. Secure data and manage users

Module 6

Azure Synapse Analytics – Apache Spark pool

  1. Ingest data with Apache Spark
  2. Data transformation
  3. Connection to SQL pool

Module 7

Azure Synapse Analytics dedicated pool

  1. Configure Azure Synapse Analytics with the Dedicated Pool
  2. Security considerations during the data ingestion
  3. Security considerations during data processing and retrieval

Module 8

Understand the Hybrid Transactional Analytical Processing

  1. Configure Azure Synapse Link with Azure CosmosDB
  2. Query Azure CosmosDB with Apache Spark and serverless pool

Module 9

Data transformation and data movement orchestration using Azure Data Factory

  1. Create connections to data services
  2. Create data flows and pipelines
  3. Perform data transformation and enrichment
  4. Secure the solution

Module 10

Realtime stream processing

  1. With Azure Stream Analytics
  2. With Event Hubs and Azure Databricks
Register now - ask for price

Click here to browse the modules:

YOUR TEACHER

Damian Widera

Data Platform MVP, Software Engineer, Cybersecurity Expert

Software engineer with over 20 years of professional experience in all aspects of data platform development. He has participated in a number of projects in international environments and possesses practical knowledge of procedures and tools which are necessary for successful implementation of such projects.
Damian currently focuses on building solutions based on Microsoft Azure environment including complex database driven systems, machine learning, big data processing, tuning and optimization. As an experienced trainer, speaker and columnist, he is always eager to take part in new engagements.
In 2022, for the 14th time, he has been awarded Microsoft’s Data Platform MVP. In addition, he holds various Microsoft Certifications since 2004: Microsoft Certified Trainer, Solution Developer and Application Developer for .NET, Database Administrator, as well as Microsoft Certified Solutions Expert in Data Platform.

WHO IS IT FOR?

Audience

The course is perfect for data engineers, developers, IT professionals,
database administrators, security consultants and other people responsible for creating, implementing and maintaining cloud data platform solutions.

Recommendations

We recommend good hands-on experience in administering Microsoft SQL Server infrastructure with least 2 years in the field.

Exercises

All exercises are based on Azure Cloud. with additional Linux and virtual network appliances that covers common scenarios.

Our students say…

“All of their classes are based on their real world experience with the products, not just the typical Official Curriculum style classes that teach you things for an exam, but that you never use. You’ll find that all of the material you’ll lrarn in the class will be used, at some point, in your security career.”

Jack Perry

Security Principal Consultant - Presido

“Totally professional, total great stuff, in-depth knowledge and a perfect Learning Atmosphere! I like it! Thanks so much for sharing your experience and knowledge!”

Martin Weber

CTO - IT.INNOVATION.4U

“I have attended CQURE’s training as someone who is not a security professional, but just an enthusiast, and I feel like I learned a A LOT. The whole training was loaded with information and nice demos of the latest technologies. On top of that — having an opportunity to ask and talk to professionals was priceless.”

Marek Chmel

SQL SERVER DBA - AT&T

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