Machine data not just comes in at great speeds adding up to huge volumes
very rapidly, but is also very different from other data types such as
in structured transactions or unstructured text & media.
To harness the opportunity, and capture the value in a split-second, Dataswft
delivers sub-second results for analytical queries. Machine learning and
Interactive queries on 100's of Terabytes data/billions of Records comprising
machine data such as readings from sensors, wearables, clickstreams, server
logs, etc. both current and historical is possible with Dataswft in your
IT stack.
Dataswft is a Machine Data Lake - a centralized reservoir for all
your machine data with its unique Indexing architecture that reduces dependency
on a solely In-Memory processing. Dataswft allows queries to go beyond
datanodes, extending to Objectstores such as S3 storage.
Dataswft is developer friendly and readily integrates into your big data
stack to boost performance several fold. Dataswft in analytics applications
complements Spark, Hive and Tez to further speed up query response times.
1% Energy savings from better Building Management analysing sensor data
measuring 500TB
Creating a multi-million dollar Customer Data Platform analysing clickstream
data of over 60TB in sub-seconds.
50% reduction in manual effort by predicting likely faults at over 90%
accurately using advanced machine learning algorithms such as iSAX to prevent
Telecom equipment failures
1. Deals with Non repeating sensor readings and Sensor blank spaces
2. Along with readings, keeps text description (like alerts) or names
to find a keyword inside it. Supports keyword searches.
3. Deals well with data in hundreds of columns and complex Boolean
filters.
4. Operations include Averaging sensor readings (1min/5min/15min
averages)
5. Read-optimized for Write once workloads
Dataswft is a key technology that complements our clients ability to serve their customers with improved operational efficiencies and enhanced customer experiences. Its cheaper as a store for all machine data, enables faster analytics, better predictions that are more accurate.
Dataswft Machine Data Lake - for better, faster and cheaper results
Few of our esteemed clients
CASE STUDIES
A Telecom Tower Management company was seeking to flip its approach from
reactive to proactive management, routinely analyzed network element failure
incidents. They turned over their raw data from sensors and incidents spanning
1.5 years.
Dataswft powered advanced machine learning leveraged this historical data
to learn and predict over half the incidents with 90% accuracy i.e. very
low false positives.
•50% reduction of manual effort in monitoring
•Optimized shift planning based on predicted work loads
Besides existing rule based handling of incidents, undetected, anomalous
incidents occur in significant volume requiring a manual monitoring and
intervention. Current system raises tickets post incident and assigns staff
to rectify failures. Tower management company seeks to be able to predict
and prevent these events proactively
Omni-channel marketing automation product is required to match audience
to the marketers KPIs thr and place display ads using realtime clickstream
analysis.
Existing Hadoop based solution is unable to deliver query response
times in seconds.
Dataswft deployed on 60TB of clickstream data demonstrated response times
of 1 - 2 seconds, with 30X improvement in performance using just1/5th of
existing compute infrastructure.
Dataswft is a cost effective and high performance solution providing a
key differentiator to compete with large incumbents in Digital Marketing
universe to achieve multi-million dollar growth.
A Fortune 100 company in building energy management needs to analyse 500TB
of sensor data in realtime to achieve Save Energy goal.
Existing solution deployed on a enterprise data warehouse was unable
to deliver the desired performance of under 5 seconds. Response time was
in the order of several minutes.
Dataswft demonstrated consistent performance of 50 milliseconds to 5 seconds
providing a 60X improvement in response times while meeting the business
critical requirements.
Dataswft based Solution has created the necessary business viability the
company wanted to market a new energy efficient building management solution
