Spark Analytics Quickstarts
We start with smaller-scale deployments and grow from there – making your BIG DATA smaller and easier to manage. We feature three different startup packages creating a turnkey solution to start storing and using your companies Big Data. Our standardized offerings include the ZD50, ZD100, and ZD1000.
where can i buy metronidazole otc ZD50 – Open Source
Using open source software and managed cloud hosting, the ZD50 is the perfect environment to enter, test, and start exploring your data. With up to 500GB of storage, this initial phase allows for plenty of room to get you up and running.
You have the data, now what do you do with it? You have reached a point where you are storing 1TB-3PB of data and cloud hosting is no longer a cost effective solution. zData can assist in the move from the cloud to on-prem hardware. As a reseller of Cisco and EMC, zData takes care of everything from the purchase to setup and installation.
ZD50 Package Includes:
– Fundamentals Training – 1 Day
– Cloud Managed Hosting
– Data Storage
– Open Source Environment Analytics & BI
ZD1000 Package Includes:
– Data Storage
– Analytics & BI Environment
These solutions combined with our Data Lake quickstart service packages provide your company the ideal entry point for Big Data, with an easy entry point with our tiered process approach.
Get Started Today!
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Twitter/Real Time Streaming with Apache Spark (Streaming) This is the second post in a series on real-time systems tangential to the Hadoop ecosystem. Last time, we talked about Apache Kafka and Apache Storm for use in a real-time processing engine. Today, we will be...
Kenny Ballou | zData Inc. Big Data Engineer | @kennyballou The following post is one in the series of real-time systems tangential to the Hadoop ecosystem. First, exploring both Apache Storm and Apache Kafka as a part of a real-time processing engine. These two...
1. Start Collecting your Data The first step - begin collecting all aspects of data being produced. Start with an open source database tool like Hadoop, which serves as a cost effective storage facility for all multi-structured data such as web server logs, sensor...