Online self-learning courses offer autonomy, allowing individuals to learn at their own pace. They provide structured training materials with review exercises to enhance understanding. Utilizing multimedia resources like videos and presentations, learners actively engage with the content. while flexibility enables customization of study schedules. This fosters an environment conducive to effective learning and skill development, accommodating personal commitments.
GoLogica Azure Databricks Online Training offers an extensive course for data scientists, engineers, and analysts, covering basic Azure Databricks to advanced data processing and machine learning techniques. The course covers architecture, configuration, data entry, visualization, Apache Spark, machine learning models, performance optimization, and integration with Azure services.
The course was developed for data scientists, data engineers, data analysts, IT professionals, and learners, as well as experts who want to explore a career in data science and engineering. The first module introduces the course and covers topics such as big data, Azure Databricks, Apache Spark, data ingestion, transformation, machine learning, data analysis, performance optimization, security, compliance, and Azure service integration.
The second module discusses Apache Spark: the entry of data, transformation, analytics, artificial intelligence, optimizing performance, security, compliance, and communication with other Azure services. The last module consists of a capstone project in which learners apply their skills to solve an authentic issue. This includes identifying the issue, transformation of data and evaluation, machine learning model construction and implementation, graphical creation, and presentation of results.
Project submission involves submitting complete assignments for review and feedback from instructors, and also obtaining a course completion certificate after completing.
GoLogica Azure Databricks Online Training provides professionals with an extensive educational program that allows them to take full advantage of the platform's features. This curriculum teaches individuals how to work with big data, create machine learning models, and optimize data processing.
It combines Apache Spark and Azure, offering an integrated analytics platform. It promotes collaboration among data scientists, engineers, and business analysts, which improves workflows. Azure Databricks manages cluster scaling depending on workload demands, ensuring outstanding performance. It is optimized for data processing in real time, making it suitable for an array of applications. It supports Delta Lake integration, which increases data stability and allows automatic information input from a variety of sources including Azure Blob Storage, Azure Data Lake, and company databases.
Salary Trends:
According to Indeed, The average salary of an Azure Databricks professional typically ranges from $100k to $120k PA. It depends on factors such as experience, location, and specific job responsibilities.
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Azure Databricks Curriculum
What is Azure Databricks?
Create the Azure Databricks cluster and workspace
Understanding Azure Databricks Notebooks
Overview of Spark Architecture
The architecture of Azure Databricks spark cluster
The architecture of Spark Job
Read Data in CSV and JSON Format
Read Data in the Parquet Format
Read Data stored in views and tables
Write the data
What is a Dataframe?
Using the Common Dataframe Methods
Display Function
Differentiate the Lazy and Eager function
How does the Catalyst Optimizer work?
Identify Transformations and Actions
Performance Enhancements Enabled by the Tungsten and Shuffle operations
Column Class
Working with the Column Expressions
Perform time and data manipulation
Using Aggregate functions
Azure Databricks platform architecture
Perform data protection
Security Scope of Azure Key Vault and Databricks
Secure Access with the Azure Authentication and IAM
Explain Security
Open Source Delta Lake
How Azure Databricks manages Delta Lake
Azure Databricks structured streaming
Performing the Stream Processing through the structured streaming
Working with the Time Windows
Process the data from the Event Hubs with the structured streaming
Bronze, Gold, and Silver Architecture
Performing the Batch and stream processing
Scheduling the Databricks jobs in the data factory pipeline
Passing the Parameters in and out of the Databricks jobs in the data factory
What is CI/CD
Creating the CI/CD process with the Azure DevOps
The GoLogica certification is widely acknowledged, enhancing the credibility of your resume and opening doors to high-level positions in leading multinational corporations globally.
At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in Azure Databricks technology.
You will get certified in Azure Databricks by clearing the online examination with a minimum score of 70%.
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Azure Databricks Objectives
GoLogica Azure Databricks online training combines theoretical knowledge with practical exercises and labs to teach skills like
• Data Engineering
• Spark basics
• Azure services integration
• Collaboration
• Security
• Compliance and performance tuning.
Azure Databricks online training enhances big data processing, analytics, and machine learning professionals' Azure cloud environment capabilities, covering ETL processes, data exploration, experimentation, model deployment, visualization, reporting, and BI integration.
GoLogica offers comprehensive Azure Databricks online training, including experienced instructors, practical labs, real-world projects, certification preparation, and support through forums and Q&A sessions.
Azure Databricks training necessitates a fundamental understanding of cloud platforms, big data concepts, programming, data analysis, engineering, SQL, and data warehousing, which can enhance the training experience and real-world application.
• Azure Databricks courses are crucial for professionals in data engineering
• Data Science
• Big data analytics
• Offering skills in big data processing
• Integration with Azure services, and certification opportunities.
Azure Databricks learning is influenced by experience, technical background, course structure, resources, hands-on practice, learning pace, and complexity, with big data experience and well-structured courses simplifying the process.
• Azure Databricks, built on Apache Spark
• Managed service that integrates seamlessly with Azure services
• Eliminating the need for cluster management
• Facilitating efficient data processing.
• Azure Databricks provides various clusters
• Including Standard
• High-Performance
• Serverless
• Interactive
• Dedicated, and Custom
• Tailored for specific use cases like data analysis
• Machine learning and exploration.
• Azure Databricks notebooks are efficient collaborative documents that
• Combine code
• Text, and visualizations
• Allowing data scientists
• Engineers, and analysts to efficiently explore, develop, and document their work.
• MLflow is an open-source platform
• Offering tools for model management
• Experiment tracking
• Deployment, and is integrated with Azure Databricks.
• Databricks is a machine-learning platform that utilizes:
• Apache Spark's distributed computing capabilities for model training
• Enabling users to import and clean data
• Experiment with various algorithms.
Azure Databricks is a robust data pipeline and analytics solution that integrates with Azure services like:
• Storage
• Database
• Machine learning
• Security
• Visualization
• Real-time processing
• Cosmos DB
• Python SDK and SQL commands.
Why GoLogica?
10+
Years of Experience
250+
Corporate Clients
750+
Courses
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Careers Transformed
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Azure Databricks rated
(5.0 / 5) based on 1 reviews.
Neeraj kumar
I really happy to completed my Azure Databricks Training At GoLogica, our instructor covered all aspects of Azure Databricks, including cluster and workspace architecture, and the support team was responsive.
