Fragma Data Systems
www.fragmadata.comFragma Data Systems is a Big Data Analytics solutions provider for companies across all the major industries, helping them to transform their data into insights by providing end to end solution. We are based out of Bangalore and are led by a team of experts in cross-functional domains. Fragma Data Systems has been listed as one of the 10 Fastest Growing Data Analytics Companies of 2016 in India by Silicon Review. Our Data Analytics solutions coupled with dashboards and visualizations help business teams build strategies to increase their top lines or improve efficiency leading to expansion of profit margins by exploring new patterns identified in the vast data sources of the companies. Our Data Infrastructure & Big Data Tech Stack solutions help technology teams to address the constraint of managing the explosion of data generated from various sources of structured, semi structured and unstructured data which has to be stored, cleansed and made highly available for computations to enable the business teams derive Insights from data. We provide services and solutions in In Memory Systems, Enterprise Data Warehouse/Big Data, Data Orchestration/Data Pipeline, NoSQL, Real Time Processing, Machine Learning, Real time search and Visualization Dashboards. Our technology stack includes: Hazelcast Cache, Ehcache, Hadoop,CloudEra, MapR, Spark, Apache Kafka and Apache ActiveMQ., MongoDB, Cassandra, HBase, Storm, Sanza, Spark Streaming, Python, R, SparkML, Apache, Elastic Search, Logstash, Kabana, D3JS, Qlickview, Tableau. Our technology partners include Microsoft, Cloudera, MapR and Hortonworks. We are dedicated and committed to providing business value from data to our clients. Our success relies entirely on the synergy between our three pillars – our Clients, our Team and our Partners. Our mission is simple, enabling businesses in decision making and achieving operational efficiency/excellence.
Read moreFragma Data Systems is a Big Data Analytics solutions provider for companies across all the major industries, helping them to transform their data into insights by providing end to end solution. We are based out of Bangalore and are led by a team of experts in cross-functional domains. Fragma Data Systems has been listed as one of the 10 Fastest Growing Data Analytics Companies of 2016 in India by Silicon Review. Our Data Analytics solutions coupled with dashboards and visualizations help business teams build strategies to increase their top lines or improve efficiency leading to expansion of profit margins by exploring new patterns identified in the vast data sources of the companies. Our Data Infrastructure & Big Data Tech Stack solutions help technology teams to address the constraint of managing the explosion of data generated from various sources of structured, semi structured and unstructured data which has to be stored, cleansed and made highly available for computations to enable the business teams derive Insights from data. We provide services and solutions in In Memory Systems, Enterprise Data Warehouse/Big Data, Data Orchestration/Data Pipeline, NoSQL, Real Time Processing, Machine Learning, Real time search and Visualization Dashboards. Our technology stack includes: Hazelcast Cache, Ehcache, Hadoop,CloudEra, MapR, Spark, Apache Kafka and Apache ActiveMQ., MongoDB, Cassandra, HBase, Storm, Sanza, Spark Streaming, Python, R, SparkML, Apache, Elastic Search, Logstash, Kabana, D3JS, Qlickview, Tableau. Our technology partners include Microsoft, Cloudera, MapR and Hortonworks. We are dedicated and committed to providing business value from data to our clients. Our success relies entirely on the synergy between our three pillars – our Clients, our Team and our Partners. Our mission is simple, enabling businesses in decision making and achieving operational efficiency/excellence.
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City (Headquarters)
Bengaluru
Industry
Founded
2015
Estimated Revenue
$1,000,000 to $5,000,000
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Data Engineer
Email ****** @****.comPhone (***) ****-****Business Analyst
Email ****** @****.comPhone (***) ****-****Data Engineer
Email ****** @****.comPhone (***) ****-****Senior Data Engineer
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Technologies
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