Author archives: Shanti Subramanyam

Thoughts on Big Data Adoption

The valley gets very excited about new technologies and applications. Adoption of technologies tends to be rapid in Silicon Valley based companies, especially startups. This is understandable considering that they can iterate faster and generally have the technical skills to emulate the trend-setters. Of late, the pace of innovation especially in the Big Data space…

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The value of Big Data

Over the last few months, it seems that there is some re-thinking, with an emphasis away from the hype and more towards the value of Big Data. The whole cycle started with large silicon valley tech companies such as Yahoo!, Google and Facebook creating and deploying Big Data applications to great success. However, as large…

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Big Data as a Service

Orzota, Inc., a Big Data solutions company, today, announces the availability of the Orzota Big Data Management Platform for beta users. The platform offers Big Data as a Service on AWS and is targeted at companies that are getting started on Hadoop. By automating many of the tasks necessary for a Hadoop project from data…

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5 Steps to Running ETL for Web Companies

NOTE: This article first appeared on Datanami Mention ETL (Extract, Transform and Load) and eyes glaze over. The thought goes: “That stuff is old and meant for clunky enterprise data warehouses. What does it have to do with my internet/web/ecommerce application?” Quite a lot – actually. ETL did originate in enterprise IT where data from…

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Move your Database Backup to Hadoop

A version of this article first appeared in the Online Backup News Journal. For the past few years, we have heard a lot about the benefits of Hadoop, the dominant big data technology. But one less spoken of use case is backing databases to Hadoop. Data Warehouse Backup to Hadoop Data Warehouses, especially large ones…

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Hadoop as the source of truth

This article was originally published on SandHill.com. For the past few years, we have heard a lot about the benefits of augmenting the Enterprise Data Warehouse with Hadoop. The Data Warehouse vendors as well as the Hadoop vendors have been very careful with their terminology and showcasing how Hadoop can handle unstructured data while the…

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Orzota Joins the Hortonworks Systems Integrator Partner Program

Sunnyvale, May 16, 2014— Orzota, a big data solutions company, today announced that it has joined the Hortonworks Systems Integrator Partner Program and will deliver big data solutions powered by Hortonworks Data Platform (HDP). Hortonworks is the leading contributor to and provider of ApacheTM Hadoop®, the most widely used big data technology today. Orzota’s customers…

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Delivering Hadoop Solutions Powered by Cascading

Orzota Partners with Concurrent to Deliver Big Data Applications June 2, 2014—Orzota, Inc. a Big Data solutions company, today announced a strategic partnership with Concurrent, Inc. to accelerate the development of big data solutions for its clients. Concurrent is the company behind Cascading, the most widely used application development framework for building data applications. Orzota’s…

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Big Data in the Enterprise Data Warehouse

The role of the Enterprise Data Warehouse (EDW) is to integrate data across operational systems which may be in operational silos and geographically distributed. The diagram below shows a typical architecture of a data warehouse. Enterprise Data Warehouse Architecture The ETL software extracts data, transforms values to normalize data, filters and cleanses “bad” data and…

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