Data Integrator sessions from SQLBits

Content Type

Conference

Tags

Data Integrator(37)

Keynote by the Community Ben Weissman (he/him)

Join Rob and Ben for a fun filled hour from the community for the community as they invite a concatenation of community experts on stage and let them show us what their favorite data platform feature is and why!

The video is not available to view online.

10 tips for a successful migration from Databricks and ADF to Synapse Dave Ruijter

Are you planning a migrating of your data platform to Azure Synapse Analytics? Is it currently based on Azure Databricks, Azure Data Factory, and Azure Data Lake Storage? Make sure to grab these 10 tips! We'll talk about Spark compatibilities, orchestration pitfalls and solution deployment differences.

2 Fast 2 Furious - designing for speed, concurrency, and correctness (20 min edition) Mark Broadbent

Learn how to design for speed, concurrency, and correctness and avoid common database development pitfalls.

Apache NiFi 101: Introduction and Best Practices Timothy Spann

Using open source apache nifi to integrate and ingest data at scale

Architectural blueprints for the Modern Data Warehouse Just Blindbæk

This session will walk you through three different ways to set up an affordable Azure based Data Warehouse solution. Covering pros and cons with each of the architectures.

Azure Container Apps for Data Engineers Ben Jarvis

In this session we will introduce Azure Container Apps and understand how it can be used as a simple and cost-effective way to host applications in Azure

Azure Data Engineer Skills for Success Dustin Vannoy

Data Engineer is an exciting and rewarding role. This session will describe a data engineer's responsibilities and give an overview of the skills needed to be an Azure Data Engineer.

Azure Data Factory, Azure Logic Apps and Power BI for everyone Alpa Buddhabhatti

As above

Azure DevOps Release Pipelines for SQL Databases, Azure Data Factories, and Analysis Models Mike Diehl

How to deploy SQL databases, data factories, and tabular data models to Azure using Azure DevOps release pipelines.

Azure SQL Database - A true story journey from migration, through synchronization and beyond. Pieter Vanhove

You will be challenged with a case study to design a solution using Azure SQL Database capabilities. At the end of this session, you will better understand the possibilities to migrate on-premises databases to Azure SQL Database. You will learn how to synchronize data across different environments and get more insights on how to troubleshoot issues in Azure SQL Database. This is a hands-on, open discussions and team work kind of session (not a traditional slideshow).

The video is not available to view online.

Azure Synapse Analytics Pipelines: a 360-degree view Carey Payette

Introductory view into Azure Synapse Analytics

Building the Lakehouse Architecture with Azure Synapse Analytics Mike Dobing

A intro session showing the whys, how's and what's for building a Data Lakehouse in Azure Synapse Analytics

Building your first Metadata Driven Azure Data Factory André Kamman

Let's unleash the true power of ADF, it's ability to dynamically inject metadata almost anywhere. No complicated frameworks in this session, I'll show you some simple but very powerful examples.

Creating a Metadata Driven Orchestration Framework Using Azure Data Integration Pipelines Paul Andrew

We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.