ETL for the future - a cluster computing approach
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High-performance and highly flexible data analytics foundation enables timely insights to support data-driven decision making.
The Hybrid Data Warehouse: Fluid, Flexible, and Formidable. It offers full customization and real time stream processing, built-in security, scalability, and easy deployment.
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Here's What You Can Do with Kockpit create Your Autonomous Database in a Few Steps:
Power BI is a business analytics service that delivers insights to enable fast, informed decisions.
The whole cluster environment is totally open source which can be customized as per business requirements.
Data will be stored in distributed manner across cluster which will be processed in parallel on cluster of nodes.
Data will be totally fault tolerant, which means in case of node failure or task failure they will be recovered automatically by the framework.
Due to replication of data in the cluster, data is reliably stored on the cluster of machine despite machine failures. If your machine goes down, then also your data will be stored reliably.
Data is highly available and accessible despite hardware failure, due to multiple copies of data. If a machine or few hardware crashes, then data will be accessed from other path.
It starts with the same concept of being able to run jobs except that it first places the data into RDDs (Resilient Distributed Datasets) so that this data is now stored in memory so it’s more quickly accessible i.e. the same jobs can run much faster because the data is accessed in memory.
Every year the real time data being collected from various sources keeps shooting up exponentially. This is where processing and manipulating real time data can help us. Spark helps us to analyse real time data as and when it is collected.
Kockpit Datawarehouse works on data locality principle which states that move computation to data instead of data to computation. When client submits the algorithm, this algorithm is moved to data in the cluster rather than bringing data to the location where algorithm is submitted and then processing it.
High-growth brands trust Kockpit with their optimization efforts
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