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Scale it to your needs up to petabytes of data by simply adding nodes. Distributed and replicated data storage is inherently safe against hardware failures. PetaPylon uses state-of-the-art data processing technologies such as high speed log normalization. Integration with your system made easy by simply respecting standards. PetaPylon is built from cheap nodes and performance scales linearly with the number of nodes.

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Scale it to your needs up to petabytes of data by simply adding nodes. Distributed and replicated data storage is inherently safe against hardware failures. PetaPylon uses state-of-the-art data processing technologies such as high speed log normalization. Integration with your system made easy by simply respecting standards. PetaPylon is built from cheap nodes and performance scales linearly with the number of nodes.
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Home - PetaPylon | petapylon.com Reviews

https://petapylon.com

Scale it to your needs up to petabytes of data by simply adding nodes. Distributed and replicated data storage is inherently safe against hardware failures. PetaPylon uses state-of-the-art data processing technologies such as high speed log normalization. Integration with your system made easy by simply respecting standards. PetaPylon is built from cheap nodes and performance scales linearly with the number of nodes.

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Solutions - PetaPylon

http://petapylon.com/solutions

If you keep investing to expensive centralized storage for your company it might be the time to think ahead a bit and see where it is all going. Storing data in one place and analyze it elsewhere will lead to an inefficient IT management that affects business success. PetaPylon Big Data Warehouse is a Hadoop based. Significant proportion of data generated today is not well formed machine generated log data. Even the IT system of a middle size company can generate such data in the multi GB range per d...

2

Big Data Warehousing - PetaPylon

http://petapylon.com/solutions/big-data-warehousing

Raquo; Big Data Warehousing. If you keep investing to expensive centralized storage for your company it might be the time to think ahead a bit and see where it is all going. Storing data in one place and analyze it elsewhere will lead to an inefficient IT management that affects business success. There are two different approaches of dealing with big data:. Send all data to the cloud and use a cloud based big data service such as Google BigQuery. Build your own private data warehouse on site. If you have...

3

The Big Data Paradigm Shift - PetaPylon

http://petapylon.com/the-big-data-paradigm-shift

The Big Data Paradigm Shift. Raquo; The Big Data Paradigm Shift. Moving from centralized to distributed. We are in the middle of a paradigm shift how we store and process large data sets. Understanding the key features of this paradigm shift is essential for future business success. This effects infrastructural investment and long-term IT strategic decisions for businesses. Size of global data is growing exponentially. Is there anything new about it? CPU processing speed increased a bit slower “onl...

4

Blog - PetaPylon

http://petapylon.com/about/blog

Streaming data to Cloudera Impala. PetaPylon’s ETL solution can stream data to an Impala table while you can query it with only a few seconds latency. Pretty neat eh? Here is how it works. Design goals We had the following main goals of the streaming load module: Low latency data access High speed query execution. PetaPylon works with RapidMiner.

5

ETL - PetaPylon

http://petapylon.com/solutions/etl

Extract transform and Load (ETL) processes are a key part of Data Warehouses. Our ETL solution provides an efficient, scalable, reliable real-time data feeding process into the analytic database. This is important especially when it comes to Big Data problems. One of the most frequent data import/export process failure is CSV format mismatch error. Our ETL solution provides support for well-defined CSV formats including standards (e.g.: RFC4180. With field level validation and error recovery capabilities.

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Home - PetaPylon

Scale it to your needs up to petabytes of data by simply adding nodes. Distributed and replicated data storage is inherently safe against hardware failures. PetaPylon uses state-of-the-art data processing technologies such as high speed log normalization. Integration with your system made easy by simply respecting standards. PetaPylon is built from cheap nodes and performance scales linearly with the number of nodes.

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