Decade of Excellence : Successfully completed 10 years of providing impactful training and mentorship. Global Reach: Delivered training to over 34,000 professionals worldwide. Outstanding Ratings: Achieved an impressive overall rating of 4.5/5 from trainees. Transformative Results: Maximum salary increase: 220%. Minimum salary increase: 70%. Average salary increase: 140%.

Azure Cloud Analytics

"Azure Cloud Analytics provides scalable, real-time data analysis, machine learning, and business intelligence solutions for cloud-based data management."

5.0 (1230 ratings)
Language : English
Validity Period : Lifetime
₹18,000 19% OFF

₹14,500/- Including 18% GST

Description Course Content How To Use

Description:

Azure Cloud Analytics is a suite of cloud-based tools for data storage, processing, and analysis. It enables organizations to collect, transform, and visualize large datasets using services like Azure Synapse Analytics, Azure Data Lake, and Power BI. It supports real-time insights, machine learning, and scalable, cost-effective data management.

Key Highlights:

Scalable Data Processing: Easily handle large datasets with services like Azure Synapse and Data Lake.
Real-Time Insights: Enables live data analysis and dashboards using tools like Power BI.
Integrated Machine Learning: Incorporates AI models for advanced analytics and predictions.
Cost-Effective: Pay-as-you-go pricing with optimized resource scaling.
Seamless Data Integration: Connects with various data sources and third-party services.

What you will learn:

Data Storage and Management:Learn how to store and manage large datasets using Azure Data Lake and SQL Data Warehouse.
Data Transformation:Understand data ETL processes and how to use Azure Data Factory for transformation.
Real-Time Analytics: Gain skills in analyzing real-time data streams with Azure Synapse and Power BI.
Machine Learning Integration: Explore how to integrate machine learning models for predictive analytics.
Cost Optimization: Learn strategies for cost-effective cloud data management and resource scaling in Azure.

Module 1: Introduction to Azure Cloud Analytics

Topic
Session-1 - Azure Data Lake Storage (ADLS)
Session-2 - Azure Synapse Analytics
Session-3 - Azure Databricks
Session-4 - Azure Machine Learning
Session-5 - Azure Stream Analytics

Module 2: Setting up Azure Data Lake Storage (ADLS)

Topic
Session-6 - Create an ADLS account
Session-7 - Ingesting Data
Session-8 - Managing Data

Module 3: Azure Synapse Analytics (formerly SQL Data Warehouse)

Topic
Session-9 - Create a Synapse workspace
Session-10 - Ingest Data.
Session-11 - Querying Data
Session-12 - Integrated Power BI

Module 4: Azure Databricks for Big Data Processing

Topic
Session-12: Visualization with Matplotlib and Seaborn:- Basic plotting:
Session-13 - Set up Azure Databricks
Session-14 - ETL with Databricks
Session-15 - Machine Learning in Databricks

Module 5: Azure Machine Learning for Advanced Analytics

Topic
Session-16 - Create an Azure ML workspace
Session-17 - Training Models
Session-18 - Deployment

Module 6: Real-time Analytics with Azure Stream Analytics

Topic
Session-19 - Set up Stream Analytics Job
Session-20 - Data Ingestion
Session-21 - Defining Queries

Module 7: Power BI for Visualization

Topic
Session-22 - Connect Power BI to Azure Services
Session-23 - Building Reports

End to End practice at project----120 minutes

After successful purchase, this item would be added to your Library.

You can access the library in the following ways :

From Computer, you can access your library after successful login
For other devices, you can access your library using this web app through browser of your device.

Review