ANALYTICS AND BIG DATA
Keystrata Inc, provides an end-to-end analytics platform using technologies like Big Data to improve business performance and operational efficiency.
An in-depth analysis of structured as well as unstructured data is done through the following process:
- Collect data from multiple sources.
- Store data in servers using Hadoop MapReduce, Cloudera, HortonWorks etc.
- Process the collected data to gain insights using technologies like Hive.
- Utilize trending data visualization technologies like Tableau, Splunk etc. to improve business reporting and monitoring activities.
Our solution recommends the integration of MongoDB and Hive to integrate these insights and improve the efficiency of your reporting and monitoring systems thereby impacting the overall business growth.
Solutions provided by us have helped our clients achieve efficient data migration and quicker aggregation of large datasets at an affordable cost.
Leveraging Big Data to Avoid Cybersecurity Threats
Modern enterprises are faced with challenges of large scale detection of cybersecurity threats, single platform dependency for detecting repetitive frauds, or Heuristic, probabilistic and signal detection analytics
Keystrata Inc, leverages big data technologies for feature extraction including conventional ETL, Lucene indexing, and sanitation algorithms. In addition, efficient data mining processes involves analytics such as Mahout classification and other machine learning capabilities. Pattern recognition and heuristic inference engines on Drools are applied for gaining relevant business insights from structured as well as unstructured data.
Our team of solution architects have vast experience in delivering solutions such as real-time detection of high vulnerability attacks, parallel processing of real-time collected data, and data processing of huge datasets for detecting cybersecurity attacks.