Striim

JANUARY 4, 2023

When your applications access data from each other, it can cause high coupling, i.e., applications are highly interdependent on each other. If you make any changes in the data structure, such as dropping a table from the database, it can affect the applications that are ingesting or using data from it.

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

ProjectPro

FEBRUARY 16, 2023

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. Data engineers can perform any quality checks using the DDL commands in SQL.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

Data Engineering Weekly

FEBRUARY 12, 2023

It’s true Big Data is dead, but we can’t deny it is a result of collective advancement in data processing techniques. link] Dropbox: Balancing quality and coverage with our data validation framework Data Testing should be part of the data creation lifecycle; it is not a standalone process.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

ProjectPro

AUGUST 21, 2015

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

Hadoop Big Data Metadata Java 40