Batch processing triggers are rarely on demand.

Select the correct statement regarding batch processing. With conventional ETL pipelines data is processed in real time.Overall accuracy of the ETL workflow has been a more important requirement than speed.Data is fed through a data pipeline in large packets.Bottlenecks within the pipeline can often be handled by anonymizing slower tasks.Select the correct statement regarding ETL workflows as data pipelines. Which of these is NOT an example of a system in the data load phase? Cleaning: merging disparate data sources.Normalizing: Converting data to common units.Data Structuring: Fixing any errors or missing values.Which of these transformations is correctly described? What is the first stage of the ETL process? Scheduled loading ETL and Data Pipelines with Shell, Airflow and Kafka Week 02 Quiz Answer Graded Quiz 01 : ETL using Shell Scripts.Which of the following loading techniques can split a single file into smaller chunks? Which of the following loading techniques is between batch and stream loading? Which of the following examples of information loss during transformation can involve false negatives? What is the biggest difference in these two approaches? ETL uses the schema-on-write approach and ELT uses the schema-on-read approach. What is used to decrease the data volume of redundant data and only extract features of interest from raw data? Extracting data from IoT devices involves large volumes of redundant data. Choosing the technique usually depends on what? There are many techniques for extracting data. Which of the following pain points does ELT address? In ELT the staging area fits the description of what? ETL processes include a storage facility called a staging area. Separation between moving and processing data.Separates the data pipeline from processing.What is the main reason for this benefit? Data wrangling is a term for another data warehouse process.Which of these three processes is also known as data wrangling? ETL process consists of Extract > Transform > Load. ELT processes apply to data lakes, where the data is transformed on demand by the requesting/calling application.Įnroll on Coursera ETL and Data Pipelines with Shell, Airflow and Kafka Week 01 Quiz Answer Graded Quiz: ETL and ELT Processes ETL processes apply to data warehouses and data marts. The other contrasting approach is the Extract, Load, and Transform (ELT) process. One approach is the Extract, Transform, Load (ETL) process. All Weeks ETL and Data Pipelines with Shell, Airflow and Kafka Quiz AnswerĪfter taking this course, you will be able to describe two different approaches to converting raw data into analytics-ready data.

Airflow etl