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Vertisage expertise

Expertise

AWS, Azure, GCP and Data Pipelines using Apache Spark

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  • Our proficiency encompasses Amazon Simple Queue Service (SQS) for message queuing

  • Amazon Elastic MapReduce (EMR) for big data processing, and Amazon Managed Workflows for Apache Airflow for orchestrating complex workflows.

  • Our team is skilled in utilizing Amazon EC2 for scalable computing capacity

  • Amazon S3 for data storage, and Amazon Kinesis for real-time data streaming.

  • We efficiently manage scalability with Amazon EC2 Auto Scaling.

  • Our expertise extends to AWS Glue for data integration

  • Amazon Relational Database Service (RDS) for easier setup, operation, and scaling of databases, Amazon Redshift for data warehousing, and Amazon DynamoDB for NoSQL database services.

  • Additionally, we are adept at implementing AWS Data Pipeline for processing and moving data, AWS Step Functions for serverless orchestration, and Amazon Elastic Kubernetes Service (EKS) for running Kubernetes on AWS

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  • We have developed extensive expertise in a suite of Google Cloud Platform (GCP) services, enabling us to offer advanced and integrated cloud solutions.

  • Our capabilities include utilizing Cloud Pub/Sub for real-time messaging and event-driven systems, and Cloud Data Fusion for data integration and ETL processes.

  • We are proficient in managing data storage solutions with Google Cloud Storage, and adept at processing large-scale data with Cloud Dataproc.

  • Our team skillfully employs Cloud Composer for workflow orchestration, and Google Dataflow for stream and batch data processing.

  • We harness the power of Google BigQuery for fast, scalable, and cost-effective analytics and data warehousing solutions.

  • Additionally, we leverage Data Studio for insightful data visualization and reporting, ensuring comprehensive and accessible data analysis for our clients.

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  • Our team boasts extensive expertise in a range of Azure data services, enabling us to provide comprehensive cloud-based data solutions.

  • We specialize in Azure Data Factory for orchestrating and automating data movement and transformation, ensuring efficient data integration workflows.

  • Our proficiency extends to Azure Storage, where we manage large-scale data storage solutions, and we skillfully use AzCopy for high-performance data transfer to Azure Storage.

  • We are experienced in utilizing HDInsight for processing big data with open-source frameworks, and our capabilities include leveraging Azure Data Lake Storage for highly scalable and secure data lake solutions.

  • Additionally, we are adept in managing and implementing Azure Blob Storage, providing robust, unstructured data storage services, ideal for storing massive amounts of data in the cloud.

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  • We are proud to offer deep expertise in a range of cutting-edge big data technologies and frameworks.

  • Our team is highly skilled in Spark Scala, utilizing Scala programming with Apache Spark for efficient large-scale data processing.

  • We are adept in leveraging Spark SQL for interactive querying and Spark for general data processing tasks.

  • Our capabilities extend to Spark GraphX for graph processing and PySpark for integrating Apache Spark with Python.

  • Additionally, we excel in managing and analyzing data with Spark DataFrames and provide real-time data processing solutions using Spark Streaming.

  • Our expertise also encompasses using Hive for data warehousing, Cassandra for distributed database management, and HBase for non-relational, large-scale data storage.

  • In the realm of distributed systems, we proficiently use K8s autoscaler for optimizing Kubernetes applications and Kafka for building robust data pipelines and streaming applications. Moreover, our team is experienced in deploying and managing applications on OpenShift, ensuring high scalability and efficiency in container orchestration and cloud-native deployments.

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