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Azure Databricks for ML on Big Data workloads
Azure Databricks support both Classic and Deep Learning ML Algorithms to analyse Large DataSets at scale. The Integrated Notebook experience gives the Data Scientists and Data Engineers to do exploratory Data Analysis, also feels like native to Jupyter notebook users. In this session we will extract intelligence from Higgs Dataset (Particle Physics) by running Classic and Deep Learning models using Azure Databricks. We will also peek into AMl service's integration with Azure Databricks for managing the end-to-end machine learning lifecycle.
Deeper Integration and New Transformation for SSIS in ADF
This session focuses on the deeper integration of SQL Server Integration Services (SSIS) in Azure Data Factory (ADF) and the broad extensibility of Azure-SSIS Integration Runtime (IR).
Design patterns for metadata-first ETL process control
In this session we'll look at ETL metadata, use it to drive process execution, and see benefits quickly emerge. I'll show how a metadata-first approach reduces complexity, enhances resilience and allows ETL processing to become self-organising.
Different types of many-to-many relationships in Power BI
Clarify differences between many-to-many and weak relationships in Power BI
Enhance Self-Service Power BI with Microsoft Flow
Many organisations using Power BI seek the Nirvana of self-serve and enterprise reporting, but are left with an unstructured governance strategy. This session simplifies the governance process, by utilising Microsoft Flow and Power BI together.
Introduction to ElasticSearch
Relational database engines are great, but with increasing data volumes and user patience decreasing we need to look for other options. Step forward ElasticSearch, a search engine for our data!
Managing Tooling to Ensure a Reliable CI/CD Pipeline
A CI/CD pipeline that is not trusted because of it's rate of failure due to unreliability is sometimes worse than no pipeline at all. In this talk we will discuss our experiences of what works and what prevents a reliable deployment process.
Monitoring AzureSQLDB
Join this session to learn how managing performance is even more critical with Azure SQL DB. Learn what key performance indicators are most applicable, what auto-tuning really means and get some tools to help you identify and fix issues.
Power BI and PowerShell-A Match Made in Heaven
PowerShell loves Power BI. In this session we will take a look at how to manage your datasets, security, monitor licensing and more, all through the ultimate administration interface: PowerShell!
SentryOne Tools for Productivity and Performance
This quick vendor session demonstrates the spectrum of SentryOne's best-of-breed products for the Microsoft Data Platform, from Task Factory, to Plan Explorer, to DOC xPress, to the SentryOne monitoring platform, and beyond.
The Future of Data Warehousing
Learn about how to future-proof your modern data warehousing environment to meet the needs of the business for the long term; as well as how to overcome common data warehousing challenges, the related must-have technology solution.
The importance of automating routine tasks
Do you want to install a new SQL Server instance in less time than it takes to get a latte at Starbucks? In this session, we'll walk through the reasons you need to automate, the process you should use in determining what tasks you need to automate.
Whats new in Azure SQL Database
Come learn about all the new innovations, features and deployment options available when using Azure SQL Database.
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