Azure Databricks Online Training
Azure Databricks is a collaborative Apache Spark-based analytics platform on Azure. It enables scalable data processing, complex transformations, machine learning, and interactive queries. With a unified workspace, it fosters collaboration among teams, integrates with Azure services, and offers robust security features.
Azure Databricks Online Training
Course Overview
By following this comprehensive Azure Databricks course outline, you will gain the skills and knowledge to effectively leverage Azure Databricks for data engineering, data science, and machine learning projects.
Master Data Engineering and Machine Learning with Azure Databricks Online Training
Unlock the Power of Data with Our Comprehensive Online Course
- Comprehensive Curriculum: Fundamentals of Azure Databricks, Apache Spark, and machine learning.
- Hands-On Projects: Real-world data engineering and ML projects.
- Expert Instructors: Experienced data engineers and data scientists.
- Flexible Learning: Self-paced online and live classes.
- Career-Focused: Prepare for roles in data engineering and data science.
What You’ll Learn
- Azure Databricks Fundamentals
- Data Engineering with Databricks
- Machine Learning with Databricks
- Advanced Topics: Streaming, Serverless, Integrations
Interactive Azure Databricks online training empowers teams to learn cloud analytics remotely.
Prerequisites
- Basic programming in Python or Scala.
- Familiarity with SQL and data manipulation.
- Understanding of cloud computing (IaaS, PaaS, SaaS).
- Introductory knowledge of Azure (Storage, Synapse, Data Factory).
Why Choose Our Azure Databricks Online Training Program?
● Expert Instructors: Learn from experienced data engineers and data scientists.
● Hands-On Projects: Gain practical experience by working on real-world projects.
● Flexible Learning: Study at your own pace with our self-paced online courses and live online classes.
● Career-Focused Training: Prepare for a successful career in data engineering and data science.
● Industry-Relevant Curriculum: Stay up-to-date with the latest trends and technologies.
Join our community of data professionals and start your journey to data mastery today!
Azure Databricks Online Training Course
Master Data Engineering and Machine Learning with Azure Databricks.
Our program equips you with practical knowledge to build scalable pipelines, perform analytics, and deploy machine learning models on Azure Databricks.
Module 1: Introduction to Azure and Databricks
- Cloud Computing Fundamentals: IaaS, PaaS, SaaS, and scalability benefits.
- Azure Overview: Data services like Storage, Databases, and Analytics.
- Azure Databricks: Unified analytics platform covering Notebooks, SQL, Jobs, Pipelines.
Module 2: Getting Started with Databricks
- Setting up workspace and clusters.
- Working with Databricks Notebooks (Python, Scala, SQL).
- Data ingestion and preparation using DataFrames and SQL.
- Visualizing data with Matplotlib or Plotly.
Module 3: Data Engineering with Databricks
- Delta Lake: Architecture, ACID transactions, performance optimization.
- Pipelines: ETL/ELT development, scheduling, and automation.
- Integration: Connecting to Azure Storage, Synapse, and Data Factory.
Module 4: Data Science and Machine Learning
- Train and deploy machine learning models using MLlib and MLflow.
- Perform data exploration, feature engineering, and evaluation.
- Use Apache Spark for big data processing and performance optimization.
Module 5: Advanced Topics
- Databricks SQL: Querying, tuning, and optimization.
- Structured Streaming: Real-time pipelines from Kafka or IoT data.
- Security and Governance: Role-based access and compliance standards.
Module 6: Productionizing Workloads
- Integrate Databricks with Azure DevOps for CI/CD.
- Automate deployments and monitor cluster performance.
- Optimize clusters and control costs.
Course Features
- Comprehensive Curriculum: From fundamentals to ML and streaming.
- Hands-On Projects: Real-world data engineering and ML use cases.
- Expert Mentors: Learn from certified data engineers and scientists.
- Flexible Learning: Self-paced and live instructor-led sessions.
- Career-Focused: Build the skills employers look for in Azure data roles.
Contact us
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