While we’re locked up in our homes, it’s the perfect time to get to know new tools and learn from experts. That’s why we’re hosting a series of webinars, each time focusing on one particular solution that we use in our daily business.
We are currently planning three webinars around Azure BI & Data Analytics components specifically Azure Data Factory, Azure Databricks and Databricks Delta.
Three webinars you can join in the next weeks
(1) Best-practices in using Azure Data Factory
Azure Data Factory is thé tool in Azure to orchestrate, schedule and manage all data movements & pipelines.
In this session we will
- Guide you through the various data movement & transformations use-cases Azure Data Factory supports
- Demo common set-ups incl. running SSIS, incremental loading from an on-premise to cloud, running Databricks scripts and running SQL stored procedures
- Highlight differences & similarities vs. SQL Server Integration Services
- Share best-practices on using Azure DevOps with Azure Data Factory for versioning & continuous deployment
Register for this session both if you are interested in Azure Data Factory (beginner) or looking for some best-practices (experienced user).
You can register through this link & below form
(2) Data Engineering with Azure Databricks
Databricks offers a scalable platform (as a service) which allows to handle real-time & big data handling. Databricks is thé platform for scalable data engineering as well as data science development.
In this sessoin we will deep-dive on how Databricks can accelerate your Data Engineering in Azure:
We will:
- Explain Databricks & why Azure Databricks is a complementary tool in your Azure BI or Data Platform
- Demo data engineering use-cases combining the best of Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2 and Azure Synapse Analytics
- Outline som best-practices in Azure Databricks incl. versioning, deployment, secure mounting, keyvault and access management
Register for this session both if you are interested in Azure Databricks (beginner) or looking for some best-practices (experienced Databricks user).
You can register through this link & below form
(3) Why your Data Lake needs Databricks Delta
When to use a Data Lake vs. when to use a Datawarehouse?
With Databricks Delta, your Data Lake can be accelerated to accept updates & deletes, work with ACID transactions and overcome the limits it has today.
In this session we will:
- Share our thoughts on when to use a Data Lake vs. a Datawarehouse
- Outline how Databricks Delta can overcome your Data Lake challenges
- Demo a recommended architecture in using Data Lake, Databricks Delta and Synapse Analytics for running a Modern data platform.
Register for this session if you want to know all details on Azure Databricks and its latest feature on Databricks Delta & Datalakehouse.
You can register through this link & below form
Practicals
In these virtual, online sessions (organized via Microsoft Teams, but accessible from any browser) the element61 team will present learnings and best-practices.
Participants joining the various sessions will get a better understanding on:
- What the tooling is and the function every Azure component has in a modern data platform
- How you can practically use it and what you need to pay attention to when setting it up
- Hands-on tips (through a real-life demo) on the tool and its functionalities
Every session will be a 1,5 hour virtual meeting and will be a great way to catch-up get up to speed with the different tools. Furthermore, use the opportunity to ask your questions to our experts.
These virtual sessions are 100% free and open for all who want to join.
Each of the session is a stand-alone session so you don’t need to join all three sessions.