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PySpark and AWS: Master Big Data with PySpark and AWS - Spark DF (Write DF)
In this lesson, we will learn about writing the dataframe back to the memory. This clip is from the chapter "Spark DFs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on Spark DataFrames in depth.
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PySpark and AWS: Master Big Data with PySpark and AWS - RDD Map (Lambda)
In this video, you will learn about the Map() Spark RDD function. This clip is from the chapter "Spark RDDs" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section focuses on PySpark RDDs.
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PySpark and AWS: Master Big Data with PySpark and AWS - Introduction to Course
This video gives you a brief introduction to the course. This clip is from the chapter "Introduction" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".Welcome to the course. This section introduces you to the course.
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PySpark and AWS: Master Big Data with PySpark and AWS - Installing Postgres
Learn how to install PostgreSQL in this session. This clip is from the chapter "ETL Pipeline" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers Extract Transform Load (ETL) pipeline in depth.
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PySpark and AWS: Master Big Data with PySpark and AWS - Glue Job (CDC)
This video covers glue job (CDC). This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers project work on changing data...
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PySpark and AWS: Master Big Data with PySpark and AWS - Full Load Pipeline
This video covers full load pipeline in depth. This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers project work on...
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PySpark and AWS: Master Big Data with PySpark and AWS - Creating RDS MySQL Instance
The first step for the project is to create the source, which is the MySQL database inside the RDS. Let's get started! This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS:...
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PySpark and AWS: Master Big Data with PySpark and AWS - Querying RDS
In this session, we will query RDS. This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers project work on changing...
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PySpark and AWS: Master Big Data with PySpark and AWS - Python Setup
In this lesson, we will install and set up Python in the local machine. This clip is from the chapter "Introduction to Hadoop, Spark Ecosystems and Architectures" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This...
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PySpark and AWS: Master Big Data with PySpark and AWS - MySQL WorkBench
In the session, we will download and install MySQL workbench. This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers...
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PySpark and AWS: Master Big Data with PySpark and AWS - Java Setup
In this session, we will install and set up Java in the local machine. This clip is from the chapter "Introduction to Hadoop, Spark Ecosystems and Architectures" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This...
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PySpark and AWS: Master Big Data with PySpark and AWS - Extracting Data
In this video, we will extract the first section from the ETL pipeline. This clip is from the chapter "ETL Pipeline" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers Extract Transform Load (ETL)...
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PySpark and AWS: Master Big Data with PySpark and AWS - Downloading Postgres
Learn how to download PostgreSQL in this session. This clip is from the chapter "ETL Pipeline" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers Extract Transform Load (ETL) pipeline in depth.
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PySpark and AWS: Master Big Data with PySpark and AWS - DMS Full Load
In this session, we will cover DMS full load. This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers project work on...
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PySpark and AWS: Master Big Data with PySpark and AWS - Checking Trigger
In this session, we will check triggers. This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with PySpark and AWS".This section covers project work on...
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Snowflake - Build and Architect Data Pipelines Using AWS - What Is Pushdown in Spark 3.1?
This video explains about Pushdown in Spark 3.1. This clip is from the chapter "Snowflake with Python, Spark, and Airflow on AWS" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses on Snowflake...
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Snowflake - Build and Architect Data Pipelines Using AWS - Understanding Clustering Depth and Cluster Overlap
This video helps you in understanding clustering depth and cluster overlap. This clip is from the chapter "Snowflake – Partitioning, Clustering, and Performance Optimization" of the series "Snowflake - Build and Architect Data Pipelines...
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Snowflake - Build and Architect Data Pipelines Using AWS - Snowflake- Resource Monitors
This video explains about resource monitors in Snowflake. This clip is from the chapter "Introduction to Snowflake and AWS" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses on the introduction...
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Snowflake - Build and Architect Data Pipelines Using AWS - Snowflake Object Hierarchy
This video explains about the Snowflake object hierarchy. This clip is from the chapter "Introduction to Snowflake and AWS" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses on the introduction...
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Snowflake - Build and Architect Data Pipelines Using AWS - Project Overview
This video demonstrates the project overview. This clip is from the chapter "Snowflake – Streams and Change Data Capture" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses on streams and change...
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Snowflake - Build and Architect Data Pipelines Using AWS - Lab – Set Up Snowflake Trial Account
This is a lab video on setting up a Snowflake trial account. This clip is from the chapter "Introduction to Snowflake and AWS" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses on the...
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Snowflake - Build and Architect Data Pipelines Using AWS - Lab – Set Up Encryption Keys for Kafka-Snowflake Connectivity
This is a lab video that helps you set up encryption keys for Kafka-Snowflake connectivity. This clip is from the chapter "Real-Time Streaming with Kafka and Snowflake" of the series "Snowflake - Build and Architect Data Pipelines Using...
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Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Selecting Your Clustering Keys
This is a lab video explains on selecting your clustering keys. This clip is from the chapter "Snowflake – Partitioning, Clustering, and Performance Optimization" of the series "Snowflake - Build and Architect Data Pipelines Using...
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Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Implement JavaScript UDFs
This is a lab video helps implement JavaScript UDFs. This clip is from the chapter "Snowflake – User-Defined Functions" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses on user-defined...