Big Data Engineering - Exeliq

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Generate business value by gaining insights from Big Data through innovative solutions developed by statisticians and technology experts.

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Implement Big Data Solutions With Help from
Exeliq Data Architects

Data alone is not enough. Data must intersect the human cognitive experience in the right format and at the right moment, to create the right opportunity for accurate predictive insights. This is the digital evolution driving today’s critical shift from business intelligence to advanced analytics.

Successful big data implementations depend on diverse skills, including those of developers, administrators, and cloud and big data architects. But demand for such experts exceeds supply. Instead, turn to our big data engineers, who can guide you through the entire data transformation lifecycle — from planning, architecture and development, to support and operation of the platform and IaaS.

Big Data Service Features

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Exeliq Can Help With Your Big Data Needs

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Technology Stack

Modern Big Data Integration: Supports Traditional systems, as well as modern Big Data and NoSQL ecosystem.

  • Apache Spark and Apache Hadoop on Kubernetes
  • Real Time and Streaming Analytics with Apache Flink, Apache Spark.
  • Big Data Integration platform with AutoMapper and Lambda based on data transformation pipeline.
  • Data Ingestion and Data Transformation from different Sources (API’s, Databases, Files, Message Queues).
  • Data Modeling and Algorithm Management
  • Build Big Data Stack on Multi-Cloud.
  • Use cases for Healthcare, Telecom, Insurance and Retail Industry.

Big Data Solutions for Management & Governance

Amazon Web Services. Highly scalable, complete cloud platform. Microsoft Azure. IaaS and PaaS computing for development, deployment, and management. Google Cloud Platform. Developer products and cloud technologies hosted by Google.

AWS Big Data Analytics

AWS Analytics and Big Data solutions with Amazon EMR, Amazon Kinesis, Amazon Glue, Amazon Athena, Amazon DynamoDB and Amazon Aurora.

Google Cloud for Big Data

Cloud DataFlow, Cloud Dataproc and Google BigQuery for Batch and Stream Processing analytics on Google Cloud.

Azure Data Lake Solutions

Azure Stream Analytics and Data Lake Analytics with HDInsight for IoT and Streaming Solutions.

Open Source Big Data

Build Data Lake and Analytics Stack using Open Source Apache Spark and Flink, Nifi, and Kafka on Kubernetes and OpenStack.

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