Cascading is a platform used to develop big data applications on Hadoop. It provides a computational engine, system integration framework, data processing, and programming capabilities. One of the key benefits of cascading is that it provides portability to development teams, so they can move existing applications without incurring the cost of rewriting. Cascading applications can run on different platforms such as MapReduce, Apache Thesis and Apache Flink and link between the platforms.
Discover the power of the Data and Analytics Roadmap and learn how to guide your organization's journey to a data-driven future. Discover what a Data Roadmap is, its benefits, how to create it, and why it's vital to your business success.
Data Observability is the ability to monitor, diagnose, and manage the quality of data throughout the data lifecycle. It is also the discipline to automatically find out the health of your data and solve problems as soon as possible.
No code is the next step in the stable completion of the development of intelligent software and application solutions. The development method also allows process specialists who develop without using code but have no IT background or expertise to design applications and software.
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