Ignite 2017 – Sessões para Data + Cloud e AI

Posted on outubro 4, 2017


Entre os dias 25/09 a 29/09 tivemos o maior evento da Microsoft chamado Ignite, com a grande visão de promover Data, Cloud e AI como principais objetivos da empresa, aqui estão as sessões nas quais marquei para assistir, infelizmente, não consegui atender nem a metade, mas por sorte de todos, praticamente todas as sessões foram publicadas, assim você pode assistir e fazer suas anotações, aproveite.



Apache Spark BigDL Deep Learning Library on Microsoft Azure
BI in Age of Artificial Intelligence
Microsoft for the Modern Data Estate
The Microsoft AI Platform
Build Machine Learning Applications using R & Python in SQL Server 2017
Dining on Data: Consume and Query Petabytes of Data with Azure SQL Data Warehouse
Implement Microsoft Team Data Science Process in Data Science Consulting
Microsoft SQL Server 2017 Deep Dive
Using Big Data, Cloud, and AI Enable Intelligence at Scale

Easily Manage SQL Everywhere Anywhere with SQL Tools
Digital Transformation with Microsoft Azure and Azure Stack
Experience Microsoft SQL Server 2017: The Fast and Furious
Understanding Big Data on Azure – Structured, Unstructured and Streaming
Machine Learning with R
Azure Services Training and Operationalizing Deep Learning Models
AI Development using Data Science Virtual Machines (DSVM) in Azure
Building Modern Data Pipelines with Spark on Azure HDInsight
Patterns, Architecture, & Best Practices: Scaling Machine Learning Algorithms with Azure HDInsight
Thinking Inside Box: Container Services in Azure
Master VMs in Microsoft Azure Resource Manager
Deep Dive with Microsoft Cognitive Toolkit
SQL Server 2017 Containers on Kubernetes, OpenShift, and Docker Swarm
Real-Time Big Data Analytics: Harnessing Power of Now

Implement Governance in Microsoft Azure at Scale with Policy-Based Management
Making Microsoft AI Work for Your Business with Custom Search Capabilities of Cognitive Services
Modernizing ETL with Azure Data Lake: HyperScale, Multi-Format, Multi-Platform, and Intelligent
Practical Data Science for DBA with SQL Server 2017 and Cortana Intelligence
Bots and Brains: The Microsoft Bot Framework and Cognitive Services, Better Together
Globally Distributed, Secure MongoDB with Azure Cosmos DB
Modernize your On-Premises with SQL Database Managed Instances
New Capabilities for Data Integration in Cloud
DevOps: CI/CD with Microsoft SQL Server 2017
Microsoft Azure Virtual Machine Infrastructure Innovation and Automation
The New Planned Maintenance Experience in Microsoft Azure
Understanding Best Practices in Classifying Sensitive Data
Delivering High Performance Analytics with ColumnStore Index on Traditional DW and HTAP Workloads
Graph Extensions in Microsoft SQL Server 2017 and Azure SQL Database
Real Time Data-Science with Azure Cosmos DB

Running Tier 1 Workloads on SQL Server on Microsoft Azure Virtual Machines
Streaming Big Data on Azure with HDInsight Kafka, Storm and Spark
Azure Cosmos DB, Design Patterns and Case Studies for Globally Distributed Applications
Build Smarter Bots and Devices by Connecting Microsoft Graph
DevOps for Data Science
Manage Hybrid Cloud and Transform your Workplace with PowerShell and Azure Automation
Gain Visibility Network Performance and Availability with Network Monitoring Solutions in Azure
Keeping your On-Premises Data Up Date with On-Premises Data Gateway
Maximum Availability and Extreme Read Scale-Out with Microsoft SQL Server 2017
Performance Patterns for Machine Learning Services in SQL Server
Accelerate your Advanced Analytics Practice using Solution Templates

Keep your Data in Sync SQL Server and Azure SQL Database
Building a Better Data Solution: Microsoft SQL Server and Azure Data Services