type

project_id

private_key_id

private_key

client_email

client_id

auth_uri

token_uri

auth_provider_x509_cert_url

client_x509_cert_url

Delve into ETL processes to transfer data. Learn to extract, transform, and load using SQL, Python, and Apache Spark. Explore automation with Apache Airflow and pandas. Gain business intelligence insights.

testing.tar.gz

pymysql

Flask

mysql_fullExtract

binlog1 - connect_to_binglog

binlog2 - process_events

binlog3 - export_to_csv

gcloud

spark_MCAR

spark_MAR

spark_MNAR

spark_MNAR2

spark_MNAR3

spark_MNAR4

spark_duplicates1

spark_duplicates2

spark_duplicates3

spark_duplicates4

spark_duplicates5

spark_duplicates6

spark_duplicates7

spark_duplicates8

flight_data1

flight_data2

flight_data3

flight_data4

flight_data5

database_exercise

database_exercise1

spark_cleanData1

spark_cleanData2

spark_cleanData3

airflow_standalone

airflow_standalone-copy

airflow_standalone1

pipeline1_extract1

pipeline1_extract1-copy

pipeline1_extract

pipeline1_extract_data-copy

pipeline1_transform1

pipeline1_transform2

pipeline1_transform3

airflowtesting

ETL stands for extract, transform, and load. It’s a collection of processes that combine data from various sources and load them into data warehouses or other data repositories. ETL is crucial for providing data used for business intelligence and analytics.

In this course, you’ll experiment with extracting data from various database solutions such as MySQL, PostgreSQL, and MongoDB. You’ll use query and scripting languages like SQL, Python, and Apache Spark to process data and load it to data repositories or cloud solutions like Google’s GCP. Finally, you’ll learn how to schedule your ETL pipelines using cronjobs or automate and monitor them using open-source tools like Apache Airflow and Python’s pandas library.

After completing this course, you’ll have a strong grasp of various methods, tools, and techniques for transferring data from a source to its destination using ETL pipelines.

Transferring Data with ETL

What’s a common method for extracting data from a relational database?

What’s a common method for extracting data from a relational database?

They’re incompatible with multiple software.

They’re inefficient for storing large volumes of data.

What’s the disadvantage of using structured data formats for data storage?

What’s the disadvantage of using structured data formats for data storage?

```
SAVE (
SELECT
country,
count() as "Number of Customers"   
FROM customers    
group by country
)
TO '/tmp/query_results.csv'
DELIMITER ','
CSV HEADER;
```

```
COPY FROM (
SELECT
country,
count() as "Number of Customers"
FROM customers
group by
country
)
TO '/tmp/query_results.csv'
DELIMITER ','
CSV HEADER;
```

```
STORE (
SELECT
country,
count() as "Number of Customers"
FROM customers
group by
country
)
TO '/tmp/query_results.csv'
DELIMITER ','
CSV HEADER;
```

```
COPY (
SELECT
country,
count() as "Number of Customers"
FROM customers
group by
country
)
TO '/tmp/query_results.csv'
DELIMITER ','
CSV HEADER;
```

What’s the correct syntax for saving the results of a `SELECT` query as a CSV file in PostgreSQL?

What’s the correct syntax for saving the results of a <code>SELECT</code> query as a CSV file in PostgreSQL?

To parse and navigate the returned content

To program an API for users to extract data

What’s the purpose of the `requests` library in Python for web scraping?

What’s the purpose of the <code>requests</code> library in Python for web scraping?

The requested resource could not be found on the server.

The request was successful, and the server returned the requested response.

An unexpected error occurred on the server while processing the request.

What does it mean when a GET request to a server returns a response code of 200?

What does it mean when a GET request to a server returns a response code of 200?

An API (application programming interface) is a set of rules and standards that allows two software programs to communicate with each other, usually in a format both can understand, such as JSON. A specific type of API, called REST API, allows clients to perform CRUD operations with the server by sending HTTP methods like GET, POST, PUT, and DELETE.

An API is a simple key-value format used to represent information, such as HTML or XML. REST API stands for REpresentational State Transfer API and is used for internal applications to access a company’s database or for external applications to access it if authorized.

An API can be used by developers to extract large batches of data from services like Facebook by adding additional information to the URL, like an API key for authorization.

An API is a software that allows humans to communicate with computers by sending requests and receiving responses in natural language.



What’s an incorrect definition of an API and its role in software communication?

What’s an incorrect definition of an API and its role in software communication?

To serve as a backup in case of data loss or corruption, allowing the database to be reconstructed from the log file in case of a crash

To enable efficient data retrieval and performance optimization by reducing the number of read operations from disk

To keep a record of all changes made to the database, including data manipulation and definition language statements, so that it can be used to synchronize distributed databases

To store log activity data about the company, which can be a valuable source in ETL pipelines for business analysis and reporting

What’s the incorrect usage of a log file in RDBMS solutions?

What’s the incorrect usage of a log file in RDBMS solutions?

Test your knowledge of data extraction from various sources.

Introduction

E: Extract

T: Transform

L: Load

Orchestration

ETL Pipeline: Fraud Detection Preprocessing

Conclusion

Quiz: Extracting Data