It helps to understand Big Data by focusing on its’ three main components: velocity, variety, and volume. These correlate to how fast, how much, and how many different types of data are stored and collected within an enterprise. Unstructured and semi-structured information are the hardest to extract insights from due to the difficulty involved with manually organizing hundreds of thousands of columns and rows.
InfoFaces employs technologies such as Apache’s Hadoop, along with our Big Data expertise, to overcome such challenges. We execute cost-efficient design, development and implementation strategies that leverage pre-built components and an enterprise’s existing investments in IT. We employ the Cloud to reduce the up-front and ongoing costs of processing and mining massive sets of data. Our partnerships with leading Big Data vendors help us provide a solution that quickly conquers all of your data to deliver profitable and actionable insights.
We employ tools such as Cassandra, MapReduce, Spark, Databricks and Drill to provide robust, scalable databases and dynamic parallel processing. Leveraged with our other key partnerships, we help enterprises transform the way they do business. This allows our customers to increase their operating efficiencies and returns on investment as well as their overall revenue.
As an early adopter of leading Big Data technologies, our consultants can help you integrate from start to finish, regardless of the current state of your Big Data initiative. We at InfoFaces are highly experienced at combining data science with large-scale, open source information platforms to ensure clients can unlock data’s hidden potential to produce innovative, profitable business decisions. We provide our expertise to help assure your Big Data efforts are consistently successful.