Tag: Apache

Apache Cassandra: Features and Capabilities

Apache Cassandra stands out as one of the most robust and widely-used distributed NoSQL database management systems. Renowned for its…

Continue Reading Apache Cassandra: Features and Capabilities

Securing Data Boundaries with mask_outer() in Cassandra: Safeguarding Sensitive Information with Precision

Cassandra, a leading NoSQL database system, offers robust functionalities to empower users in securing their data effectively. Among these capabilities,…

Continue Reading Securing Data Boundaries with mask_outer() in Cassandra: Safeguarding Sensitive Information with Precision

Data Masking with mask_inner() in Cassandra: Ensuring Data Confidentiality

Cassandra, a leading NoSQL database system, offers robust functionalities to empower users in securing their data effectively. Among these capabilities,…

Continue Reading Data Masking with mask_inner() in Cassandra: Ensuring Data Confidentiality

mask_replace(value, replacement) in Cassandra: Transforming Data with Precision and Flexibility

Cassandra, a prominent NoSQL database system, offers a plethora of functionalities to empower users in handling data effectively. Among these,…

Continue Reading mask_replace(value, replacement) in Cassandra: Transforming Data with Precision and Flexibility

mask_default(value) in Cassandra: Ensuring Data Consistency and Integrity

Cassandra, a leading NoSQL database system, offers a myriad of functionalities to empower users in handling data effectively. Among these,…

Continue Reading mask_default(value) in Cassandra: Ensuring Data Consistency and Integrity

Dynamic Data Masking (DDM) in Cassandra: Safeguarding Sensitive Data

With the proliferation of NoSQL databases like Cassandra, ensuring robust data protection mechanisms becomes imperative. Dynamic Data Masking (DDM) emerges…

Continue Reading Dynamic Data Masking (DDM) in Cassandra: Safeguarding Sensitive Data
PySpark @ Freshers.in

How to run dataframe as Spark SQL – PySpark

If you have a situation that you can easily get the result using SQL/ SQL already existing , then you…

Continue Reading How to run dataframe as Spark SQL – PySpark