Results for "data preparation techniques using databricks"
Status: Free TrialSkills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality
Status: Free TrialSkills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Processing, Deep Learning, Data Transformation, Model Deployment, Machine Learning Software, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis, Regression Analysis
Status: New
Status: New
Status: NewStatus: Free TrialSkills you'll gain: Data Pipelines, Databases, Extract, Transform, Load, Data Lakes, NoSQL, SQL Server Integration Services (SSIS), Data Processing, Data Architecture, Azure Synapse Analytics, Data Warehousing, Data Management, Microsoft Azure, Data Transformation, Database Management Systems, Data Infrastructure, Data Integration, Data Governance, Data Storage Technologies, Data Storage, Real Time Data
Status: NewStatus: Free TrialSkills you'll gain: Apache Kafka, Real Time Data, Fraud detection, Data Pipelines, Apache Spark, PySpark, Multi-Tenant Cloud Environments, Dashboard, Performance Tuning, Grafana, Disaster Recovery, Data Architecture, Prometheus (Software), Data Integrity, Data Governance, Data Processing, Scalability, Event-Driven Programming, System Monitoring, Docker (Software)
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Data Cleansing, Pandas (Python Package), Financial Data, Data Wrangling, Data Transformation, Data Preprocessing, Data Quality, Data Manipulation, Data Validation, Jupyter, Data Integrity, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics
Status: NewStatus: Free TrialSkills you'll gain: Real Time Data, Apache Spark, Fraud detection, PySpark, Databricks, Data Pipelines, Dashboard, Big Data, Performance Tuning, Data Processing, Anomaly Detection, Operational Databases, Internet Of Things, Data Analysis, Performance Analysis, Trend Analysis
Status: NewStatus: Free TrialSkills you'll gain: PySpark, Apache Spark, Model Evaluation, MySQL, Data Pipelines, Scala Programming, Extract, Transform, Load, Logistic Regression, Customer Analysis, Apache Hadoop, Predictive Modeling, Applied Machine Learning, Data Processing, Data Persistence, Advanced Analytics, Big Data, Apache Maven, Unsupervised Learning, Apache, Python Programming
Status: Free TrialSkills you'll gain: Databricks, Apache Spark, Microsoft Azure, Data Integration, PySpark, Data Lakes, Jupyter, File Systems, Data Processing, Big Data, Cloud Storage, Cloud Computing Architecture
Status: PreviewEdureka
Skills you'll gain: SQL, Data Management, Database Design, Databases, Apache Spark, Data Integrity, Data Architecture, Data Processing
Status: Free TrialSkills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Data Pipelines, Model Evaluation, Kubernetes, Supervised Learning, Distributed Computing
In summary, here are 10 of our most popular data preparation techniques using databricks courses
- Mastering Azure Databricks for Data Engineers: Packt
- Perform data science with Azure Databricks: Microsoft
- SQL Infrastructure: Secure and Optimize: Coursera
- Fix Data Bottlenecks: Optimize Spark Performance: Coursera
- Data Storage and Management for Big Data: Microsoft
- Real-Time, Real Fast: Kafka & Spark for Data Engineers: Coursera
- Data Cleaning with Python for Finance: Coursera
- Process & Analyze Real-Time Data Fast: Coursera
- Spark and Python for Big Data with PySpark: EDUCBA
- Fundamentals of Azure Databricks: Packt
