Name: DataBricks
Brand: MindCypress
SKU: 63b7bfe3e4b0aef56f6919ec
Price: 499 USD
Availability: InStock

DataBricks

Instructor: MindCypress

Language: English

Validity Period: Lifetime

$599 16% OFF

$499

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Description
Course Content
How to Use

Course Description

Databricks is a cloud-based data analytics platform that is designed to help data teams process, analyze, and share large amounts of data. Databricks is based on Apache Spark, a distributed computing framework that allows users to perform data processing tasks across multiple computers.

By the end of the course, students should have a solid understanding of how to use Databricks to manage and analyze large amounts of data, and how to apply this knowledge to real-world data analytics projects.

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	Introduction to DataBricks
		Creating Azure Databricks Workload
		Introduction to Azure Databricks and Creating First Cluster
		Creating Cluster in Databricks community Edition
		Creating First Notebook
		DBFS
		DBFS UI
		Creating Documentation Cell
		Uploading file in DBFS
		Reading File from DBFS
		Reading File _ Creating First DataFrame
		End of Module 1
	Data Manipulation
		Spark Documentation
		Creating PySpark DataFrame using list of Rows
		Creating PySpark DataFrame using explicit schema
		Creating PySpark DataFrame using pandas DataFrame
		Creating DataFrame Ex 1
		Creating DataFrame Ex2
		Creating DataFrame using PySpark Datatypes
		Creating DataFrame Ex3
		Creating DataFrame Ex4
	Transformations
		Documentation on Dataframe functions (Spark) 1:00
		Select-1 & 2
		Select dataframe functions with alias 1:00
		withColumnRenamed
		withColumn
		DataFrame Function-Count
		DataFrame Function-Limit
		Describe DataFrame 2:00
		Dtypes and printschema
		tail() and take() function in databricks 1:00
		Show or Display
		Functions 6:00
		Col, Lit and Concat Functions
		Renaming Column Names
		Select & withcolumn
		Filter
		Filtering Nulls 5:00
		Select & concat
		Sort
		Datagram Function-Sort in Databricks 3:00
		DataFrame Function-Sort with Multiple Column in Databricks 1:00
		DataFrame Function-Drop in Databricks 2:00
		Drop Duplicates 4:00
		Handling Null using dropna or na.drop in Pyspark _Databricks Tutorial for Beginners_Azure Databricks 7:00
		DataFrame Function - Group by & Aggregation 4:00
		Run a Databricks notebook from another notebook 1:00
	Delta Lake
		Introduction to Delta Lake
		Internals of Delta Lake
		Optimize in Delta Lake
		Time Travel in delta lake
		UpSert in Delta Lake
		Z ordering in Delta Lake
	End to End Capstone
		E2E Capstone
		Azure Databricks intro
		Azure Intro and ADLS
		Big Data File Formats
		CSV to delta table 1 & 2
		Jobs in Databricks
		Method I Using Secret Key and Method II Using Service Principal
		Unmount
	Reader and Writer
		Reading Json(Constructor)and Writing into Parquet
		Reading Json(driver)and Writing into Parquet
		Reading CSV with user Schema
		Complex Json
		Reading Excel
		Reading CSV and transforming 16:00
		Creating User Defined Schema 5:00
		Date and Time Stamp Functions 17:00
		Handling Null Values 11:00
		Views 8:00
		Why Create User Defined Schema 6:00

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