Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Importing Data with a Script

The video tutorial explores the rich ecosystem of Elasticsearch, focusing on various methods to import data into Elasticsearch from different sources. It covers using standalone scripts, AWS services, and other systems like Kafka and Spark. A detailed example using Python to import data from a CSV file is demonstrated, including script execution and data verification.

What are some off-the-shelf components mentioned for importing data into Elasticsearch?

• Logstash and Beats

• Hadoop and Hive

• Pig and HBase

• Flume and Sqoop

Which AWS service can be used to funnel data into Elasticsearch?

• AWS S3

• AWS Lambda

• AWS EC2

• AWS RDS

What is the primary programming language used in the example for importing data into Elasticsearch?

• Python

• Java

• JavaScript

• Ruby

What format is used for bulk importing data into Elasticsearch in the Python example?

• XML

• CSV

• JSON

• YAML

What is the first step in the practical example of importing data into Elasticsearch?

• Writing a Python script

• Downloading the dataset

• Configuring Elasticsearch

• Running a query

Which command is used to delete the existing movies index in Elasticsearch?

• curl -X GET

• curl -X DELETE

• curl -X PUT

• curl -X POST

What is the purpose of the 'pretty' parameter in the Elasticsearch query?

• To reduce data size

• To enhance search speed

• To increase data security

• To format the results nicely