Big Data Solutions
With intelligent insights and data deciphering
Overview
Is your organisation grappling with a Big Data problem? Alphonso can help.
Data is the new oil of the 21st century, and analytics is the key to unlock this mine. Alphonso empowers organisations with deep-dived data analysis, thus enabling them to derive business critical insights. With a thorough knowhow of Hadoop ecosystem, and proven track record in creating big data solutions makes Alphonso suitable for cloud as well on-premise requirements.
We have worked across domains & have delivered Big Data solutions for Healthcare, Telecom, IIoT, BFSI sectors in the past.
Data Security & HIPAA Compliance
We take data privacy seriously. We use best of the class encryption & data-protection tools & technologies to keep all your data secure & accessible only to those authorised. We build HiPAA compliant solutions & are open to signing BAA with our customers.
Convert Raw Data to Actionable Insights
If you have tons of data, but no real insights, we can help you analyse the data & make sense out of it.
Most of the big data solutions fail since they cannot segregate good data from bad and thereby end up being Garbage-In-Garbage-Out systems.
Alphonso’s nClasser data analytics platform helps you segregate data into smart clusters & de-duplicate at ease, so you can analyse what matters without getting bogged down by sheer size of the data & the problem at hand.
Alphonso empowers organisations with deep-dived data analysis & visualisations, thus enabling them to derive business critical insights.
Build Scalable Systems to handle Big Data
If your Big Data system is not scaling up, we can help you tune your system to extract maximum possible performance.
Or, we will suggest you alternate architectures & technologies to achieve the desired scale.
A thorough knowhow of Hadoop ecosystem enables us to deliver scalable solutions in the cloud & on-premise.
Alphonso’s Hadoop expertise covers Spark, Hive, HBase, Flink, Scoop, Kafka. We typically program using Python or Scala & use R or MATLAB for modelling.
We frequently use MongoDB & Redis to solve scalability & performance related challenges, where Hadoop is not involved
nClasser
Taking Big Data to the next level
Say hello to nClasser, a solution tailored for Entity Analytics by Alphonso. Much faster than the conventional COTS floating around in the market, nClasser resolves the de-duplication and clustering of data issue for the US Healthcare.
- 10x performance improvement recorded
- High performance on low cost x-series clusters
- Natural scalability as the data size increases
Big Data Solutions
Tech brought to the table
Impressive track record in creating products & solutions across several technology domains
Distributed Processing
Hadoop, Spark
NoSQL
MongoDB
Programming
Python, Scala, Erlang
In Memory
Redis
Case Studies
Telecom Dedup & Fraud Detection
Alphonso developed & deployed a Hadoop De-duplication application to help customer meet specific compliance requirement for Indian Telecom Service Providers to limit number of connections to eight per subscriber. The application was developed using Spark, Scala, Hive, Ambari, YARN & was able to achieve 20x performance as compared to the legacy solution that was previously being used by the customer.
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IoT Data Sink Framework
Alphonso developed a robust, scalable, generic & extensible Data Sink Framework to power customer’s existing IoT platform. The framework was designed to support multiple network protocols (http, tcp, mqtt, etc), data types (structured, semi-structured, unstructured) & data formats (raw, excel, csv, json) & was developed using Node, Javascript, Hadoop, Hive, Pig & MongoDB.
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