Motivation: Reduce the intake time in financial/insurance data pipelines The ability to make informed decisions has become a differential asset for the organizations’ success. Companies must collect high volumes of […]
Finance or Insurance Company? How to speed up data processing and why you should
Introduction Technological growth is constantly modifying the way in which business is conducted. The ease with which enormous volumes of data are collected, stored and processed is allowing old-fashioned, corporate […]
Measuring the Return on Investment of LeanXcale on Data Pipelines
Data pipelines on data-driven companies In recent years, companies have started to make the most of their data assets. This means they can utilize their resources better, personalize their portfolio […]
360º View at Any Scale
360º View of Monitored Systems at Any Scale: LeanXcale Linear Horizontal Scalability
Motivation: Supporting 360º View of Monitored Systems at Any Scale Monitoring applications must deal with systems of very different sizes; from a simple web server to several large data centers. […]
Blend Current and Historical Data
Blending Seamlessly Current & Historical Data: LeanXcale Bidimensional Partitioning
Motivation: Support Any Historical Monitoring Data Depth with High Efficiency One of the main tasks of a monitoring tool is to collect historical data. Tracking historical data allows companies to […]
Real Time KPIs
KPI Calculation: LeanXcale Online Aggregates
Motivation: Supporting High Data Ingestion Rates and Performing Frequent Aggregate Queries In real time analytics, a major requirement is to be able to ingest data at high rates, while at […]
High Data Ingestion: LeanXcale Dual Interface SQL & NoSQL
Motivation: Supporting High Data Ingestion Rates and Efficient SQL queries The cost of monitoring solutions highly depends on the required footprint to ingest the monitoring data and to query these […]