Welcome to the Matillion interview questions blog. Matillion is an advanced cloud-based ETL/ELT platform that extracts data from popular data sources and loads data into data warehouse platforms such as Snowflake, Google Bigquery, and Redshift. Here in this blog, we are going to cover all the important questions that are asked in any interview.
ETL (extraction, transformation, & loading) is a three-step data processing methodology wherein the data gets extracted from the source and extracted data will be converted into the required format, and in the final stage the data will be dumped into a targeted location. ETL plays a key role in the data engineering space.
ELT stands for Extract, Load, and Transform and is used for processing data. In this method, it extracts data from the source and loads it directly into the destination i.e. data lake or data warehouse. The transformation process takes place at the end.
Matillion is a cloud-based data integration platform that offers powerful features required to perform end-to-end data transformation operations. It is built for the cloud and is flexible to work with all three top cloud data warehouse platforms such as Redshift, Snowflake, Google BigQuery, Delta Lake, and Azure Synapse.
Matillion is a modern ETL/ELT cloud platform that comes with an easy-to-interact browser-based user interface. Moreover, it comes with advanced connectors to connect to different data sources.
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Data orchestration is an automatic method that connects various data sources either cloud or legacy systems and organizes information that is useful for analytics.
In data engineering data pipeline is a data transportation mechanism from source to destination. A pipeline can ingest data from source systems and this data goes through multiple stages in the pipeline and is then stored in the target location. Majorly there are two types of pipelines available which are batch data pipelines, and streaming data pipelines.
Change Data Capture (CDC) is a method that helps users to have access to accurate information. CDC identifies the changes made to the database and updates the same in the downstream process. This will eliminate data mismatch issues.
Below listed are the cool features offered by the Matillion ETL platform:
Following are the different data objects in Matillion:
Yes, Matillion processes JSON & XML files. It comes with advanced functionalities to flatten data in XML & JSON format and convert data into rows.
Matillion Connectors are components that allow ETL developers to connect to any data source and ingest data into targeted sources. Matillion has in-built advanced connectors that streamline your data ingestion process.
Matillion supports below data load types:
Variables types supported by Matillion are:
The Matillion audit log is a storage location that stores and displays user activity within the Matillion Instance.
It is a command line tool that is being used for data transfer through URLs.
Summary:
Matillion has gained a lot of traction due to its powerful yet flexible features. These Matillion interview questions blogs will be updated frequently and offer fresh content. Hope you found this blog useful!
By Tech Solidity
Last updated on January 18, 2024
