Sessions tagged as 'Managing Big Data'

A Data Engineer's Guide to Azure Synapse8th@09:00
A Day of Azure Data Explorer8th@09:00
Spark for Data engineers8th@09:00
Analytics at scale with Power BI and Azure Synapse9th@09:00
Big Data Implementation in AWS Cloud through the lens of Security and Privacy10th@10:10
Partitioning for Beginners10th@10:10
The fundamentals of building a lakehouse with Synapse10th@10:10
Overview of Azure Synapse Analytics10th@11:30
You CAN Run SQL at Scale in the Cloud!10th@11:30
Lessons in Lakehouse Automation10th@12:00
Patterns for Master Data Management in Azure10th@12:00
The Dream Team: Synapse Analytics Serverless SQL Pools and Pipelines10th@13:40
About time: how to work with timeseries in Azure10th@14:10
ksqlDB - The Real-Time Streaming Database10th@15:20
What makes Databricks a powerful Machine Learning tool?10th@15:20
10 tips for a successful migration from Databricks and ADF to Synapse10th@16:40
Five steps to create a data-driven culture10th@16:40
Data Lakehouse, Data Mesh, and Data Fabric (the alphabet soup of data architectures)10th@17:10
Migrate traditional DW transformations to Spark/Scala10th@17:10
Monitoring a growing database environment: insights for success10th@17:10
Implementing a Data Quality Framework in Purview11th@10:10
Lessons learned from managing Azure Data platforms! Put your data hat on!11th@11:30
Leveraging Apache Spark for Efficient Data Encryption at Scale11th@11:30
Apache NiFi 101: Introduction and Best Practices11th@12:00
The Evolution of Data Platform Architectures in Azure - Lambda, Kappa, Delta, Data Mesh11th@12:00
Roche's Maxim of Data Transformation11th@13:40
Spring clean your data lake with Database Templates for Synapse Analytics11th@13:40
Analyze Billions of Rows of Data in Real-Time Using Azure Data Explorer11th@14:10
So you want to be a Data Engineer?11th@15:20
Azure Data Engineering services used to analyze data11th@16:40
Cosmos 10111th@16:40
Azure Data Factory - A deployment challenges11th@17:10
Lessons Learned: Implementing Azure Synapse Analytics in a Rapidly-Changing Startup11th@17:10
What I’m telling your developers about DevOps11th@17:10
Dedicated SQL Pools : How some stuff 'really' works12th@09:30
Data Science and Analytics: Real-World Experience from Diverse voices in the field12th@11:20
Azure Data Engineer Skills for Success12th@12:50
Five steps to create a data-driven culture12th@12:50
Is HTAP the future?12th@12:50
Azure Container Apps for Data Engineers12th@13:20
Selecting the correct Azure Data Solution for your application12th@13:20
The modern Cloud Data Warehouse - Snowflake on Azure12th@13:20
The "Meta-verse" - Using metadata to build your pipelines in less than 20 min12th@14:40
Moving away from One Model to rule them all12th@15:50

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