Informatica Dynamic Data Masking
Oracle Advanced Security
Imperva Data Masking
Forcepoint SimShield
Microsoft SQL
iMAsk
IBM Infosphere Optim
Informatica Persistent Data Masking
Spark Streaming
Confluent
Amazon Kinesis
Google Cloud Dataflow
Apache Flink
Leo Platform
Striim
Lenses
Informatica Dynamic Data Masking Spark StreamingNo Informatica Dynamic Data Masking videos yet. You could help us improve this page by suggesting one.
Based on our record, Spark Streaming seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 4 months ago
Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago
Oracle Advanced Security - Stop would-be attackers and reduce risk of unauthorized data exposure with advanced security database technologies from Oracle. Together, encryption and redaction form the foundation of defense-in-depth, multilayered database security solutions.
Confluent - Confluent offers a real-time data platform built around Apache Kafka.
Imperva Data Masking - Protect sensitive data from exposure in non-production environments. Imperva pseudonymizes and anonymizes sensitive data via data masking.
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Forcepoint SimShield - Filter and disguise data in secure training and testing environments, cut redundancies, and reduce testing cycle time with Forcepoint WebShield
Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
