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Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Deploy a PySpark Transformation job in AWS Glue
This is a lab video that helps deploy a PySpark transformation job in AWS Glue. This clip is from the chapter "Snowflake with Python, Spark, and Airflow on AWS" of the series "Snowflake - Build and Architect Data Pipelines Using...
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Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Create and Implement Row Level Access Policy
This is a lab video to create and implement row level access policy. This clip is from the chapter "Snowflake – Data Protection and Governance" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses...
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Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Create an Integration Object to Connect Snowflake with AWS S3
This is a lab video that helps create an integration object to connect Snowflake with AWS S3. This clip is from the chapter "Snowflake – Data Loading/Ingestion and Extraction" of the series "Snowflake - Build and Architect Data Pipelines...
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Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Column Level Dynamic Data Masking
This is a lab video that demonstrates about column level dynamic data masking. This clip is from the chapter "Snowflake – Data Protection and Governance" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This...
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Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Check Query Profile and History
This is a lab video on checking the query profile and history. 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 - Billing and Query History for Tasks
This s a lab video that demonstrates the billing and query history for tasks. This clip is from the chapter "Snowflake – Tasks and Query Scheduling" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section...
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Snowflake - Build and Architect Data Pipelines Using AWS - Introduction - Different Tables in Snowflake
This video provides an introduction to different tables in Snowflake. This clip is from the chapter "Snowflake - Tables" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses on tables in Snowflake.
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Snowflake - Build and Architect Data Pipelines Using AWS - Data Ingestion – Real-World Use Cases
This video shows data ingestion with the help of real world use cases. This clip is from the chapter "Snowflake – Data Loading/Ingestion and Extraction" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This...
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Snowflake - Build and Architect Data Pipelines Using AWS - Benefits of Micro-Partitions and Clustering
This video explains the benefits of micro-partitions and clustering. 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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PySpark and AWS: Master Big Data with PySpark and AWS - Solution 2 (Map)
In the previous video, we successfully prompted the output of the quiz using a function. In this session, we will replicate the same thing inside the Lambda function. This clip is from the chapter "Spark RDDs" of the series "PySpark and...
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PySpark and AWS: Master Big Data with PySpark and AWS - RDD Map (Simple Function)
In this lesson, you will learn how to use the Map() function excluding the Lambda 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...
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PySpark and AWS: Master Big Data with PySpark and AWS - Introduction to Spark DFs
This video session introduces you to Spark DataFrames. 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 - Finding Average-1
In this session, we will try to calculate the average of a given dataset. We will start by writing a transformation flow that will take the CSV data file as input and provide us with the average of the movie ratings from the dataset....
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PySpark and AWS: Master Big Data with PySpark and AWS - Creating Spark RDD
Let's get started with Spark RDD. In this session, you will learn how to create Spark RDDs. 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...
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PySpark and AWS: Master Big Data with PySpark and AWS - Creating DMS Instance
In this session, we will create the DMS instance. 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...
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PySpark and AWS: Master Big Data with PySpark and AWS - Creating S3 Bucket
In this session, we will create a S3 bucket so that the destination is prepared and ready to use. This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with...
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PySpark and AWS: Master Big Data with PySpark and AWS - Creating DMS Source Endpoint
So far, we have created the source and destination. In this session, we will go ahead and create the DMS source endpoint. 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 - Creating DMS Destination Endpoint
In this session, we will create the DMS destination endpoint. 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 - Connecting with RDS and Dumping Data
In this video, we will learn how to connect with RDS and the process of dumping data. This clip is from the chapter "Project - Change Data Capture / Replication Ongoing" of the series "PySpark and AWS: Master Big Data with PySpark and...
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PySpark and AWS: Master Big Data with PySpark and AWS - Connect to RDS Through PGAdmin
In this session, you will learn how to connect to RDS through PGAdmin. 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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Snowflake - Build and Architect Data Pipelines Using AWS - What Is Pushdown in UDF?
This video explains Pushdown in UDF. 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 functions in Snowflake.
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Snowflake - Build and Architect Data Pipelines Using AWS - Two Aspects of a Data Ecosystem
This video demonstrates the two aspects of a data ecosystem. 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 - Streams - Data Retention and Staleness
This video explains about the data retention and staleness in streams. 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...
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Snowflake - Build and Architect Data Pipelines Using AWS - Snowflake - Virtual Warehouses
This video explains about virtual warehouses 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...