Azure Databricks Training
Azure Databricks Course:
Databricks is an Apache Spark-based analytics platform. Microsoft has optimized Databricks for Azure cloud services platform. This service is available by the name of Azure Dataricks. Databricks is integrated with Azure to provide one-click setup, streamlined workflows, and an interactive workspace. Azure Databricks enables collaboration between data scientists, data engineers, and business analysts. Python Programming and Fundamental SQL & databases are the prerequisites of Azure Databricks training. This Azure Databricks course starts with the concepts of the big data ecosystem and Azure Databricks. It then covers internal details of Spark, RDD, Dataframes, workspace, Jobs, Kafka, Streaming and various data sources for Azure Databricks. Advanced concepts of Azure Databricks such as Caching and REST API development is covered in this training. This Azure Databricks training is delivered by our experts at our Bangalore office, as well as at client locations across India and South-East Asia in cities such as Bangalore, Chennai, Hyderabad, Pune, Mumbai, Delhi, Noida, Gurgaon, Singapore, Hong Kong and many more.
Azure Databricks Course Curriculum
Azure Databricks Concepts
Interaction Management
Computation Management
Authentication and Authorization
Big Data
Introduction to Hadoop
Limitations of Hadoop
Introduction to Kafka
Hive, Cassandra
Driver
Partitions
Stages
Resilient Distributed Data-structure
Basics of Distributed Computing
Simple Transformers - map,filter,groupby
Complex api - combinebykey
Important Configuration
Creating DataFrames from collections
DataFrame Row
Creating tables from dataframe
DataFrame Grouping
User Defined Functions (UDF)
Python to Folders
Recently used objects
View jobs
View job details
Run a job with different parameters
JAR job tips
Export job run results
Delete a job
Job options
Overview of Machine Learning
Estimators
Regression
Pipeline
Loading the data
Creating an estimator
Fitting the model
Saving the model
Grid search
Other features of PySpark ML in action
Discretizing continuous variables
Classification
Display Pools
Pool Configurations
Instance Types
Pool Tags
Delete a Pool
Requirements
Inherited configuration
Publish/Subscribe Messaging
Why Kafka?
Kafka’s Origin
What is Spark Streaming?
What is the Spark Streaming application data flow?
Introducing Structured Streaming
Streaming with Databricks Labs - Kafka
Connecting to SQL Databases using JDBC
Azure Data Lake Storage
Azure SQL Data Warehouse
Import Hive Tables
Avro Files
JSON Files
Parquet Files
Delta and Apache Spark caching comparison
Use Delta caching
Monitor the Delta cache
REST API 2.0
Authentication
DBFS API
Instance Pools API
Jobs API
MLflow API
Token API
Frequently Asked Questions
We provide classroom-based as well as online training. Since this is a hand-on training so batches generally does not contain more than 4 people.
We will provide web services specific study material as the course progresses. You will have lifetime access to all the code and basic settings needed for these Azure Databricks training through our github account and the study material that we share with you. You can use that for quick reference.
Feel free to drop a mail to us at [email protected] and we will get back to you at the earliest for your queries on Azure Databricks course
We have tie ups with various companies and placement organizations to whom we connect our learners. Each Azure Databricks training ends with career consulting
Minimum 2-3 projects of industry standards on Azure Databricks will be provided
Yes, we provide our own course completion certificate to all students. Each Azure Databricks training in bangalore ends with training and project completion certificate
You can pay by card (debit/credit), cash, cheque and net-banking. You can pay in two installments
We take immense pride to provide post training career consulting for Azure Databricks training
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