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Data Lake Architecture
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Data Lake Architecture

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Hortonworks: HDP (Hortonworks Data Platform) is entirely based on open source projects managed by Ambari that provides an entire Hadoop ecosystem and provide controls to choose necessary components in the ecosystem based on the business needs. It is possible to set up a pure batch or streaming or hybrid mode that enables business to set up required Data Lake architecture
Cloudera: Another
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Treselle Systems Private Limited

Kodambakkam, Chennai, Tamil Nadu
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Hortonworks: HDP (Hortonworks Data Platform) is entirely based on open source projects managed by Ambari that provides an entire Hadoop ecosystem and provide controls to choose necessary components in the ecosystem based on the business needs. It is possible to set up a pure batch or streaming or hybrid mode that enables business to set up required Data Lake architecture

        Cloudera: Another well known Hadoop distribution built on slightly different stack unlike HDP and enables businesses to set up required Data Lake architecture. It has proprietary products such as Cloudera Manager Enterprise for infrastructure management that had advanced functionalities compared to Ambari and Cloudera Navigator for Data Governance capabilities

         AWS: A Data Lake architecture can be entirely built on cloud by using  AWS managed services such as API Gateway, Lambda, Elastic Map Reduce (EMR), Spark, Kinesis, DynamoDB, S3, ElasticSearch, etc. Those businesses who are already using AWS services and don’t require lot of control over the infrastructure can choose AWS

        Custom Infrastructure: Not all Big Data needs require Hadoop ecosystem and many business use cases can be achieved using custom infrastructure such as Standalone Spark clusters that satisfies most of the big data needs such as batch, streaming, machine learning, graph process and programming interfaces with Python and R. SparkSQL is capable of connecting to variety of data stores that are in RDBMS, NoSQL, S3, etc. Apache Drill is another interesting technology that can infer schema on the fly and enables to perform joins across multiple data stores such as HDFS, S3, RDBMS, NoSQL, etc

Infrastructure management & migration: Treselle can help businesses to manage their existing Big Data infrastructure as well as migrate to the most suitable infrastructure based on their busin

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Data Lake Architecture

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Legal Status of FirmPrivate Limited Company
Nature of BusinessService Provider
IndiaMART Member SinceApr 2018
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Sathyaraj

New No.7/Old No.4, 4th Avenue Dr.Ambedkar Road
Kodambakkam
Chennai - 600024 Tamil Nadu, India

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