Databricks
Databricks is an advanced cloud platform, for data and collaborative work to handle complex and large data…
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Databricks Training:
Databricks is a cloud-based,unified analytics platform built on Apache Spark, designed to make big data processing, data engineering, machine learning, and AI easier and more efficient. Databricks integrates with major cloud platforms like Microsoft Azure (Azure Databricks), Amazon Web Services (AWS Databricks), and Google Cloud (GCP Databricks), allowing businesses to efficiently process, analyze, and derive insights from large datasets.
Databricks offers a collaborative workspace, flexible cloud infrastructure, and powerful data processing tools, helping businesses connect data sources, enhance performance, and make faster decisions. It removes data barriers and silos, enabling teams to work in a shared environment while ensuring high-quality, up-to-date data with Delta Lake. Beyond data processing, Databricks is a robust machine learning and AI platform, featuring MLflow for easy model building, testing, and deployment. It supports leading AI frameworks like TensorFlow, PyTorch, and Scikit-learn, allowing businesses to develop smart, scalable AI solutions.
Our Databricks Online Training offers a complete learning experience for individuals and teams to master big data processing and analytics using Databricks. The Databricks Online Course covers Apache Spark, data engineering, data science, and machine learning within the unified Databricks workspace. It provides hands-on training to help learners build real-world skills in data processing and AI. By the end of the Databricks Training, you will gain expertise in big data analytics, ETL workflows, Spark optimization, and machine learning model deployment using Databricks
What Will You Learn?
- Introduction to Databricks & Apache Spark: Learn the fundamentals of Databricks and Apache Spark, including their role in big data processing, analytics, and AI. Understand how Databricks simplifies cloud-based data engineering.
- Setting up Databricks & Understanding the Workspace: Get hands-on experience setting up a Databricks environment on AWS, Azure, or Google Cloud. Explore the Databricks workspace, notebooks, clusters, and user interface.
- Data Ingestion, Transformation & Processing with Spark SQL: Discover how to import, clean, and transform data using Spark SQL and DataFrames. Learn how to query large datasets efficiently and optimize performance.
- Building ETL Pipelines for Data Engineering: Understand ETL (Extract, Transform, Load) workflows in Databricks. Learn to automate data processing, manage large-scale pipelines, and integrate with cloud storage and databases.
- Optimizing Performance & Cost-Efficiency: Explore performance tuning techniques to improve query speed and data processing efficiency. Learn about auto-scaling clusters, caching strategies, and cost optimization in Databricks.
- Implementing Machine Learning & AI with MLflow: Master MLflow, Databricks' built-in machine learning platform, to track, manage, and deploy ML models efficiently. Work with scalable AI solutions.
- Working with Delta Lake for Reliable Data Storage: Learn how Delta Lake enhances data reliability, consistency, and real-time analytics with ACID transactions, schema enforcement, and version control.
- Security, Governance & Best Practices in Databricks: Understand data security, access control, compliance standards, and governance best practices to ensure safe and efficient data management in Databricks.
- Real-World Use Cases & Industry Applications: Explore how leading companies use Databricks for big data analytics, fraud detection, AI-powered insights, and scalable machine learning solutions across industries like finance, healthcare, and retail.
Course Curriculum
Module 1: Introduction to Databricks
Module 2: Working with Databricks Notebooks
Module 3: Data Processing with Apache Spark
Module 4: Delta Lake and Data Management
Module 5: Integrating Databricks with Cloud Services
Module 6: Machine Learning and Advanced Analytics
Module 7: Performance Tuning and Best Practices
Module 8: Real-World Projects and Case Studies
Join us for a Live Demo Session on Databricks at AccentFuture!
Get ready to explore the powerful capabilities of Databricks in our exclusive
Live Demo Session on 15th March 2025 at 8:30 PM IST.
Whether you’re a beginner or looking to enhance your data engineering and analytics skills, this session will provide valuable insights and hands-on experience with Databricks.
What to Expect:
Overview of Databricks platform and features
Live demo on how to work with data, build pipelines, and more
Real-time Q&A with industry experts
Don’t miss out on this opportunity to learn from the best and level up your skills!
Enroll Now: https://shorturl.at/l9ERt
