Databricks Courses
Databricks courses can help you learn data engineering, machine learning, and data analytics, along with concepts like Delta Lake and Apache Spark. You can build skills in data pipeline creation, collaborative data science, and optimizing data workflows. Many courses introduce tools like Databricks notebooks and MLflow, which facilitate the development and deployment of machine learning models, enabling you to manage data more effectively and streamline your analytics processes.
Popular Databricks Courses and Certifications
Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Data Manipulation, Programming Principles, Scripting, Graph Theory, Integrated Development Environments, Data Transformation, Development Environment, Software Development Tools, Distributed Computing, Performance Tuning
Skills you'll gain: Apache Spark, Data Pipelines, PySpark, Real Time Data, Data Transformation, SQL, Data Processing, Data Analysis
Skills you'll gain: MySQL, Google Cloud Platform, Data Mining, Microsoft SQL Servers, Cloud API, PostgreSQL, Metadata Management, Cloud Management
Johns Hopkins University
Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Apache Spark, NoSQL, Data Management, Data Infrastructure, Data Pipelines, Data Processing, Databases, Data Integration, SQL, Query Languages, Data Manipulation, Scripting Languages, Data Transformation, Data Storage Technologies
Skills you'll gain: Root Cause Analysis, Data Security, Transact-SQL, Problem Management, Site Reliability Engineering, Capacity Management, Resource Management, Identity and Access Management, Role-Based Access Control (RBAC), Compliance Auditing
Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Analytics, Data Processing, Distributed Computing, Debugging, Java Programming
Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Data Lakes, Databricks, Data Pipelines, Data Architecture, Database Design, Apache Spark, Data Storage Technologies, Big Data, Cloud Storage, Security Controls, Data Storage, Data Processing, Microsoft SQL Servers, Data Integration, Event-Driven Programming, Extract, Transform, Load, Data Security, Real Time Data
Skills you'll gain: Apache Hadoop, Apache Hive, Apache Spark, Big Data, Data Pipelines, Data Import/Export, Relational Databases, File Systems, Command-Line Interface, Software Installation
Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Data Import/Export, Pandas (Python Package), Data Transformation, SQL, Development Environment, Analytics
Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Data Pipelines, PySpark, Scalability, Live Streaming, Data-Driven Decision-Making, Data Lakes, Data Integration, Fraud detection, Data Processing, Event Monitoring, Data Transformation, JSON, Event Management
Skills you'll gain: Apache Kafka, Data Pipelines, Real Time Data, Apache Spark, Event-Driven Programming, Distributed Computing, Software Architecture, Performance Tuning, Real-Time Operating Systems, Application Deployment, Systems Architecture, Scalability, Data Processing, Architecture and Construction, Data Transformation, Performance Management
Skills you'll gain: Apache Kafka, Real Time Data, Data Pipelines, Apache Spark, Scala Programming, Spring Boot, Java Programming, Development Environment, Apache, JSON, Data Processing, Information Architecture, Data Transformation, Solution Design, Content Management, Data Import/Export, Performance Tuning, Software Architecture, Data Validation, System Configuration
In summary, here are 10 of our most popular databricks courses
- Apache Spark with Scala – Hands-On with Big Data!: Packt
- Real-time analytics with Spark: User Activity Monitoring: Coursera
- Build and Execute MySQL, PostgreSQL, and SQLServer to Data Catalog Connectors: Google Cloud
- Data Analysis Using Hadoop Tools: Johns Hopkins University
- SQL Infrastructure: Secure and Optimize: Coursera
- Hadoop and Spark Fundamentals: Unit 2: Pearson
- Getting Started with Azure Data Solutions: Whizlabs
- Hadoop and Spark Fundamentals: Unit 3: Pearson
- Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro: Google Cloud
- Process Real-Time Data with Spark Streams: Coursera
