Filter by
SubjectRequired
LanguageRequired
The language used throughout the course, in both instruction and assessments.
Learning ProductRequired
LevelRequired
DurationRequired
SkillsRequired
SubtitlesRequired
EducatorRequired
Results for "automating data workflows with databricks"
- Status: NewStatus: Free Trial
Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Real Time Data, PySpark, Data Pipelines, Data Integration, Data Management, Automation, Data Storage, System Testing, Data Processing, Jupyter, Data Quality, User Provisioning, File Systems
- Status: NewStatus: Free Trial
Coursera Instructor Network
Skills you'll gain: Apache Kafka, Data Warehousing, Extract, Transform, Load, Microsoft SQL Servers, Snowflake Schema, Star Schema, Performance Tuning, Data Pipelines, Cloud Computing Architecture, Business Intelligence, Real Time Data, Apache Hadoop, Data Modeling, Data Quality, Responsible AI, Apache Spark, SQL, Generative AI, Data Governance, Quality Management
- Status: NewStatus: Preview
Coursera Instructor Network
Skills you'll gain: Data Integration, Extract, Transform, Load, Metadata Management, Amazon Redshift, Amazon Web Services, Data Pipelines, Data Warehousing, Amazon S3, Automation, Cloud-Native Computing, Data Transformation, Serverless Computing, Process Optimization, System Monitoring
- Status: NewStatus: Free Trial
Skills you'll gain: PySpark, Apache Spark, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Customer Analysis, Apache Hadoop, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Data Processing, Advanced Analytics, Big Data, Apache Maven, Statistical Machine Learning, Unsupervised Learning, SQL, Apache, Python Programming
- Status: NewStatus: Free Trial
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Scala Programming, Real Time Data, Apache Hive, Command-Line Interface, Distributed Computing, Data Processing, Big Data, Apache, Apache Cassandra, Applied Machine Learning, Data Pipelines, Java, Databases, MongoDB, IntelliJ IDEA, NoSQL, Application Deployment
- Status: Free Trial
Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Data Processing, Data Mart, Unix Shell, Big Data, Performance Tuning, Scalability, Command-Line Interface
What brings you to Coursera today?
- Status: Free Trial
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Distributed Computing, Performance Tuning, Data Transformation, Debugging
- Status: NewStatus: Free Trial
Skills you'll gain: Databricks, Apache Spark, Microsoft Azure, PySpark, Data Lakes, Data Processing, Jupyter, File Systems, File Management, Cloud Storage, Cloud Computing Architecture
- Status: NewStatus: Free Trial
Skills you'll gain: PySpark, Apache Spark, Customer Analysis, Big Data, Data Processing, Advanced Analytics, Statistical Modeling, Text Mining, Customer Insights, Data Mining, Data Transformation, Unstructured Data, Predictive Modeling, Simulation and Simulation Software, Data Manipulation, Marketing Analytics, Image Analysis, Risk Analysis
- Status: Preview
Edureka
Skills you'll gain: SQL, Data Management, Databases, Apache Spark, Data Architecture, Data Processing
- Status: NewStatus: Free Trial
Skills you'll gain: Apache Spark, PySpark, Big Data, Data Pipelines, Data Processing, Distributed Computing, JSON, Data Manipulation, Data Transformation, Performance Tuning
- Status: Preview
Skills you'll gain: Data-Driven Decision-Making, Data Management, Database Development
In summary, here are 10 of our most popular automating data workflows with databricks courses
- Mastering Azure Databricks for Data Engineers: Packt
- Building Smarter Data Pipelines: SQL, Spark, Kafka & GenAI: Coursera Instructor Network
- AWS Data Automation: Glue & Lambda Integration: Coursera Instructor Network
- Spark and Python for Big Data with PySpark: EDUCBA
- Big Data Foundations with Hadoop and Spark: Packt
- ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
- Introduction to Big Data with Spark and Hadoop: IBM
- Fundamentals of Azure Databricks: Packt
- PySpark: Apply & Analyze Advanced Data Processing: EDUCBA
- Learn SQL with Databricks: Edureka