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X-WR-CALNAME:Thinksmart
X-ORIGINAL-URL:http://thinksmartgulf.com
X-WR-CALDESC:Events for Thinksmart
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DTSTART:20230101T000000
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DTSTART;TZID=UTC:20230206T080000
DTEND;TZID=UTC:20230206T170000
DTSTAMP:20260530T003944
CREATED:20230101T115943Z
LAST-MODIFIED:20230104T141643Z
UID:10423-1675670400-1675702800@thinksmartgulf.com
SUMMARY:Microsoft Certified: Azure Data Engineer Associate (DP-203)
DESCRIPTION:Course Duration: 4 days\nAssessment :Online\n\nOverview\nIn this course\, the student will learn about the data engineering as it pertains to working with batch and real-time analytical solutions using Azure data platform technologies. Students will begin by understanding the core compute and storage technologies that are used to build an analytical solution. The students will learn how to interactively explore data stored in files in a data lake. They will learn the various ingestion techniques that can be used to load data using the Apache Spark capability found in Azure Synapse Analytics or Azure Databricks\, or how to ingest using Azure Data Factory or Azure Synapse pipelines. The students will also learn the various ways they can transform the data using the same technologies that is used to ingest data. They will understand the importance of implementing security to ensure that the data is protected at rest or in transit. The student will then show how to create a real-time analytical system to create real-time analytical solutions. \nPrerequisites:\nSuccessful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. \nDuration:\n4 Days \nLearning Path\n\nAzure DevOps Solutions\nAzure Architect Technologies\n\n  \nTopics:\nModule 1: Explore compute and storage options for data engineering workloads \nModule 2: Run interactive queries using Azure Synapse Analytics serverless SQL pools \nModule 3: Data exploration and transformation in Azure Databricks \nModule 4: Explore\, transform\, and load data into the Data Warehouse using Apache Spark \nModule 5: Ingest and load data into the data warehouse \nModule 6: Transform data with Azure Data Factory or Azure Synapse Pipelines \nModule 7: Orchestrate data movement and transformation in Azure Synapse Pipelines \nModule 8: End-to-end security with Azure Synapse Analytics \nModule 9: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link \nModule 10: Real-time Stream Processing with Stream Analytics \nModule 11: Create a Stream Processing Solution with Event Hubs and Azure Databricks \nLink: \nhttps://docs.microsoft.com/en-us/learn/certifications/azure-data-engineer
URL:http://thinksmartgulf.com/calender/microsoft-certified-azure-data-engineer-associate-dp-203/
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