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.
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.
ZD100
ZD1000
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!
Spark 2.0 – What’s New
Earlier this month DataBricks provided an overview of Apache Spark's next major release, Spark 2.0. The following post shows some of the changes in the abstraction, API and Libraries. Spark 2.0 is expected to be released in early June 2016. What is Apache Spark Apache...
Apache Spark — Sparking Interest
Over the past few years we have all been enthralled with the buzz generated by IoT. Now it looks like its time for Apache Spark to take its place in the lexicon of Big Data buzzwords. While performing my research for trends on Google, I was surprised to find out that...
Apache Storm vs. Apache Spark
Storm and Spark This is the last post in the series on real-time systems. In the first post we discussed Apache Storm and Apache Kafka. In the second post we discussed Apache Spark (Streaming). In both posts we examined a small Twitter Sentiment Analysis program....