> Sampling is one of the most widely employed approximations in big data processing.
Among various challenges in sampling design, sampling for join is particularly intriguing yet …

Merging of portions of ordered event streams is disclosed. The disclosed merging of events
can limit loss of order of events from streams in exchange for reduced computational load by …

Improved scaling of an ordered event stream (OES) is disclosed. In contrast to conventional
scaling of an OES that, in immediate response to loading exceeding a given processor …

Compaction of an ordered event stream (OES) is disclosed. An OES storage system can
employing multiple tiers of storage devices, wherein the different tiers each can provide …

The described technology is generally directed towards efficiently organizing data in a
single, non-distributed database as an ordered associated array of key-value pairs …

Real time monitoring of data streams can be used for monitoring performance, availability or
system anomaly detection which can analyze and correlate events from logs file. However …

Access control for an ordered event stream (OES) storage system is disclosed. Access to a
portion of an OES can be controlled at a key-level in relation to a key space of the OES. An …

Technischer Fortschritt und Vernetzung haben zu einem enormen Zuwachs an
kontinuierlich anfallenden Datenströmen geführt, aus denen immer schneller wertvolle …

We introduce the interval timing correlation, which can establish timing correlation
conditions to handle interval timing timestamps. Interval timestamps are adopted to handle …

Data retention for a tiered ordered event stream (OES) data storage system is disclosed.
Data retention can be applied to demoted data, eg, data demoted from a first tier to a second …