Remove Data Schemas Remove Data Storage Remove Events Remove Metadata
article thumbnail

AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.

AWS 98
article thumbnail

Implementing the Netflix Media Database

Netflix Tech

A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve. NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries.

Media 94
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

50 PySpark Interview Questions and Answers For 2023

ProjectPro

The StructType and StructField classes in PySpark are used to define the schema to the DataFrame and create complex columns such as nested struct, array, and map columns. StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. appName('ProjectPro').getOrCreate()

Hadoop 52
article thumbnail

Top 100 Hadoop Interview Questions and Answers 2023

ProjectPro

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40
article thumbnail

17 Super Valuable Automated Data Lineage Use Cases With Examples

Monte Carlo

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. This is where data lineage can help you scope and plan your migration waves. Data lineage can also help if you are specifically looking to migrate to Snowflake like a boss.