Enlighten your Big Data with Apache Spark?
Hadoop => Most cost effective and scalable system to store Big Data.
Have you formed your Data Lake yet?
How sick you are, of your data sitting in silos?
Big Data Lake at the cost of EDW bucket
Hadoop and other big data technologies let you collect all the data in one system, at a fraction of the cost of traditional EDW systems.
No need to think about, what data to save, and what to throw away. No need to archive data in tape drives.
The benefit: “Get every ounce of Insight from data”
Our expertise in Big Data systems enable us to advise you about the right strategy to create and maintain Big Data Lake.
We have right tools and expertise to process your Big Data once lake is formed.
Spark – The Unified Platform for Big Data Apps
Spark provides a single platform which has libraries for all of your Big Data compute needs.
No disparate compute tools, just libraries
Over the years, multiple technologies have emerged to cater to different big data compute needs like Storm (Streaming), MapReduce, Hive(SQL like interface), Pig (high-level scripting), Mahout(Machine Learning) etc.
These technologies came with their own set of features, as well as Challenges. Spark completely changed the game. It caters to different compute needs by simply providing right libraries. Following are the libraries which come with Spark bundled as standard:
Our team of experts can help you process data using Spark and it’s libraries, so that you can derive actionable insights that improve your business.
Eureka or Enlightenment phase
The promise of Big Data lies in being able to make more informed decisions – to increase sales, decrease costs, or execute your mission more efficiently. Our Big Data Analytics provide useful insights that until now could only be suggested by sampling, or were completely invisible.
Visualize your way to insights
The insights you need are buried in huge amounts of fast-moving data in a variety of data types. Looking at raw data is not only inefficient but also boring. Humans believe in power of stories and the moment you start visualizing data, it starts telling stories.
We have expertise in all industry leading visualization tools like Tableau, Datameer and Qlikview. We can also help you create custom dashboards which provides tailor made visualization interface.
Here are some examples of custom visualization.
Ask about our free Big Data POC at no cost or obligation.
From Our Blog
InfoObjects has focused on Big Data space for at least two years. Technology has progressed a lot during this time but technology adoption by customers is a different story. Customers were sitting on fence as they were not sure which technology flavor to adopt. Every software vendor was touting their own horn, including open-source software vendors (oxymoron :) ). Customers ... More
InfoObjects' Cloud-based LBA Engine Exceeds 100 Million Geofence Assessments in Large-scale Mobile Advertising Campaign SANTA CLARA, Calif., June 26, 2014 /PRNewswire/ -- InfoObjects of Santa Clara, California, announced a major performance milestone for location-based advertising (LBA) technology. In a recent customer engagement campaign conducted for Hipcricket, a mobile marketing and advertising technology company located in Bellevue, Washington, over 100 million geofence ... More
SANTA CLARA, Calif., Apr 21, 2014 -- via PRWEB - InfoObjects Inc. of Santa Clara, a leading IT services company focused on data-driven software applications using the power of open source technologies and Big Data, received the top award in its category as the Best Place to Work in the San Francisco Bay Area. Being ranked No. 1 by the San Francisco ... More
Cloudera's announcement of a $900M funding round is still settling down in peoples' minds. It also got me thinking about how it's going to affect us as a relatively smaller player in the Big Data/Hadoop space. Interestingly, a huge amount of this $740 has come from our very own neighbor, Intel. The following repercussions come to the forefront: Expand The Hadoop Ecosystem The ... More
Big Data space is interesting in many ways. Big Data is changing the landscape, but then landscape also is changing Big Data. In this blog, I will look at them from different angles. Gartner Big Data Hype Curve Below is Gartner's Hype cycle for emerging technologies According to this graph, Big Data is about to reach the peak of hype cycle. This data ... More
I am sure everyone is confused with the different terminology in Hadoop--words like streaming, real time, etc. So here's some clarification: Batch Batch means running the query in a scheduled way. You already know what your question is: you have written a MapReduce program to process data and your data is in a few large files as opposed to being spread out. ... More