コース概要
Introduction to Azure Synapse Analytics
- Overview of Azure Synapse Analytics
- Key features and capabilities
- Comparison with other data analytics solutions
Setting up Azure Synapse Analytics
- Creating an Azure Synapse workspace
- Configuring data lake storage
- Managing users and access control
Data Integration and Management
- Data ingestion methods
- ETL processes with Azure Data Factory
- Data storage and organization strategies
Developing Big Data Solutions
- Introduction to Spark pools in Azure Synapse
- Processing large datasets with Spark
- Integrating with Azure Machine Learning
Querying Data with Serverless SQL Pools
- Overview of serverless SQL pools
- Querying across data sources
- Performance tuning and optimization
Security and Compliance
- Data protection and encryption
- Access control and data privacy
- Monitoring and auditing
Data Visualization and Analysis
- Connecting to Power BI and other visualization tools
- Building dashboards and reports
- Sharing insights within and outside an organization
Managing Resources and Best Practices
- Architectural best practices
- Managing and scaling resources
Summary and Next Steps
要求
- Basic understanding of cloud computing principles
- Knowledge of data warehousing principles and practices
Audience
- Data engineers
- Data scientists
- Cloud professionals
お客様の声 (5)
トレーナーは教材と内容を私たちにとって最適だと考えたものに適応させ、成功しました。トレーニングの質は素晴らしかったです。
Jorge Sanchez Hernandez - CSMART - Carnival
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A lot of patience
Mateusz - WestWind Energy Polska Sp. z o.o.
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プロフェッショナルで非常に実用的、日常業務で役立ちます
Jozefin Rékasi - SC Automobile Dacia SA
コース - Advanced Data Analysis with TIBCO Spotfire
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とてもフレンドリーで親切
Aktar Hossain - Unit4
コース - Building Microservices with Microsoft Azure Service Fabric (ASF)
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このコースでは、私がコース開始前に興味があると言った領域、つまりデータ関係や Python スクリプトの使用について説明しました。データベースへの接続については、上級モジュールで説明します。
Cristian Tudose - SC Automobile Dacia SA
コース - Introduction to Spotfire
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