What are common use cases for Data Lake Platform
Example use cases for Data Lake Platform
Provides a managed service using Kubernetes for delivering a set of integrated solutions (Data Flow, Data Transformation, Data as a Service) that ingests data from multiple data sources into a Data Lake. Offers a data workflow to orchestrate data transformation and data curation processes for analytics for business and operations.
Stores data as-is without first structuring the data. Run different types of analytics—from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions. Provides Metadata (Catalog) Management to make data visible and easily accessible to consumers.
BI Reporting - Process of gathering data to extract relevant insights Machine Learning - Process of teaching a computer system how to make accurate predictions when fed data Data Catalog (Metadata) - Informs customers about available data sets and metadata around a topic and assists users in locating it quickly. Data Management - Active and ongoing management of data through its life cycle of interest and usefulness Ad hoc analysis - Discover the value or purpose of data by analyzing it before it's fully defined. Agility is essential for every business, and a Data Lake can play an important role in the "proof of value" type of situation. Archival and historical data storage - Sometimes, data is used infrequently but does need to be available for analysis. A Data Lake strategy can be valuable to support an active archive strategy. Augment a data warehouse - A Data Lake may contain data that isn't easily stored in a Data Warehouse or frequently queried. Access the Data Lake via federated queries making its separation from the Data Warehouse transparent to end-users via a data virtualization layer.
What are common use cases for Data Flow Platform
Example use cases for Data Flow Platform Data Ingestion Stream Data Ingestion Ingest data in real-time as they arrive. Good for real-time data-driven decision processing for improving customer experience, minimizing fraud, and optimizing operations ...
What are common use cases for Data Transformation Platform
Example use cases for Data Transformation Platform Data Streaming Streaming data is the continuous flow of data generated by various sources. The data streaming can be processed, stored, analyzed, and acted upon when generated in real-time. The data ...
What are common use cases for Data as a Service Platform
Data as a Service (DaaS) has many use cases: Enabling real-time business intelligence (BI) Real-time business intelligence (RTBI) is the process of delivering business intelligence (BI) or information about business operations as they occur. ...
What are common use cases for Microservice+ Platform
Example use cases for Microservice+ Platform: Legacy applications refactoring Enterprises often decide to rebuild their IT capabilities to change the functionality, add some new features, move to the Cloud, or conduct global system modernization. ...
What are common use cases for Elastic Stack+ Platform
Example use cases for Elastic Stack+ Platform Logging and Log Analysis The ecosystem built up around Elasticsearch has made it one of the easiest to implement and scale logging solutions. From Beats to Logstash to Ingest Nodes, Elasticsearch gives ...