Informatica Data Engineering Streaming

Easily collect, process, and analyze video and data streams in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin. Amazon Kinesis enables you to ingest, buffer, and process streaming data in real-time, so you can derive insights in seconds or minutes instead of hours or days.

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

A scalable cloud database for real-time analysis on large and streaming datasets. Kinetica is designed to harness modern vectorized processors to be orders of magnitude faster and more efficient for real-time spatial and temporal workloads. Track and gain intelligence from billions of moving objects in real-time. Vectorization unlocks new levels of performance for analytics on spatial and time series data at scale. Ingest and query at the same time to act on real-time events. Kinetica's lockless architecture and distributed ingestion ensures data is available to query as soon as it lands. Vectorized processing enables you to do more with less. More power allows for simpler data structures, which lead to lower storage costs, more flexibility and less time engineering your data. Vectorized processing opens the door to amazingly fast analytics and detailed visualization of moving objects at scale.

Messaging and Integration Platform 4. Website: [Solace](https://solace.com) 5. Who should use Solace PubSub+? - Enterprises: Solace PubSub+ is designed for large enterprises that require a reliable and scalable messaging and integration platform. - Developers: Solace PubSub+ provides a comprehensive set of APIs and tools that make it easy for developers to build and deploy messaging applications. - Cloud and container users: Solace PubSub+ supports deployment on popular clouds and container platforms, making it suitable for organizations adopting these technologies. 6. Why use Solace PubSub+? - Scalability: Solace PubSub+ is built to handle high-volume message streams, making it suitable for applications with large user bases. - Reliability: Solace PubSub+ offers features like message persistence and guaranteed delivery, ensuring that messages are not lost or duplicated. - Real-time responsiveness: With Solace PubSub+, applications can achieve real-time messaging and event-driven architectures, enabling rapid response to changing conditions. - Flexibility: Solace PubSub+ supports a variety of messaging patterns and protocols, allowing developers to choose the best approach for their use case. - Cloud-native deployment: Solace PubSub+ is designed for easy deployment in cloud and container environments, allowing organizations to leverage the benefits of these technologies. 7. How to use Solace PubSub+? - Choose a deployment option: Solace PubSub+ can be deployed on-premises, in hybrid cloud environments, or fully in the cloud, depending on the specific requirements of your organization. - Configure messaging and integration: Solace PubSub+ provides a dashboard and management APIs that allow users to configure topics, subscriptions, and other messaging settings. - Develop applications: Developers can use the Solace PubSub+ APIs to integrate messaging capabilities into their applications, whether they are building standalone systems or microservices. - Monitor and manage: Solace PubSub+ provides monitoring and management tools that allow administrators to monitor message flows, troubleshoot issues, and optimize performance. 8. Project statistics: - Over 10,000 customers worldwide rely on Solace PubSub+ for their messaging and integration needs. - Solace PubSub+ supports a wide range of messaging protocols, including MQTT, AMQP, JMS, and REST. - Solace PubSub+ can handle millions of messages per second, ensuring high throughput and low latency. - Solace PubSub+ has integrations with popular cloud platforms such as AWS, Azure, and Google Cloud, enabling easy deployment and scaling.