With doolyk you can get the Qlik® data discovery experience with the power of Hadoop's Big Data Platform. doolyk helps you to obtain VALUE from the four V's of Big Data.
Scale of Data
Often seen as the only issue to solve when talking about Big Data, volume is the most evident of the problems organizations are going to face. The challenge is to be able to analyze terabytes of data at maximum detail level and to be able to discover new insights. The following step will be to use these informations to go beyond classical BI analyses and to do Advanced Analytics, applying predictive algorithms.
Different nature of data
Variety refers either to different kind of sources or sources whose structure evolves over time . That might be weblog files, CRM systems, pdf documents, e-mails, social media data, video uploads or feeds and much more.
Real Time data
Velocity means having to deal with data coming in as a stream or data you'd like to analyze in real time, without having to wait for the reload times typical of the classical BI Architectures. Examples are Internet of Things/Sensor Data, Call Detail Records (CDR), tweets, etc
To be able to trust your data, especially if it's Big Data is a key point, thus the need to have processes and algorithms that ensures data quality. De-duplication, avoiding null values, detecting and remediating to missing information on the fly through data enrichment, advanced data cleansing techniques are all part of this.