Grouparoo

OCTOBER 6, 2021

Tianhui Michael Li The Three Rs of Data Engineering by Tobias Macey Data testing and quality Automate Your Pipeline Tests by Tom White Data Quality for Data Engineers by Katharine Jarmul Data Validation Is More Than Summary Statistics by Emily Riederer The Six Words That Will Destroy Your Career by Bartosz Mikulski Your Data Tests Failed!

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

APRIL 19, 2023

Security Security measures such as encryption, access control, and data validation are essential in programming to prevent data breaches and other malicious activities. Metrics like page load time, time to first byte, and server response time can be used to gauge performance.

Programming 59

Programming Programming Language Java Coding 59

ProjectPro

JANUARY 31, 2023

Step 4: Data Transformation and Enrichment Data transformation involves changing the format or value inputs to achieve a specific result or to make the data more understandable to a larger audience. Enriching data entails connecting it to other related data to produce deeper insights. Is SQL Good for Big Data?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

AUGUST 21, 2015

Unorganized and raw data that cannot be categorized as semi-structured or structured data is referred to as unstructured data. are all examples of unstructured data. RowKey is internally regarded as a byte array. Explain the difference between RDBMS data model and HBase data model.

Hadoop 40

Hadoop Big Data Metadata Java 40