Intsurfing

About

At Intsurfing, we create automated data pipelines and design ETL processes to help your organization integrate data from different sources and transform it for analysis. Our team also builds, optimizes, and maintains cloud infrastructures on AWS, GCP, and Azure.

To simplify data extraction from web sources and documents, we use our proprietary AWS-based engine, Nannostomus. Once the data is collected, we transform it into the format you need and load it into SQL, NoSQL databases, ElasticSearch, S3, or wherever you store your data. Everything is automated to ensure your pipelines are fast, reliable, and error-free.

We rely on a powerful tech stack: Scala, Java, .NET, C#, and Python, along with Docker, Kubernetes, Jenkins, Hadoop, and Apache Spark. If you're already using other CI/CD tools, no problem—we can adapt to your existing infrastructure.

With Intsurfing's cloud services, you'll get a fully optimized setup. From building your system to fine-tuning cloud performance for cost savings, our certified cloud experts handle it all.

To extract data from web sources or documents, Intsurfing uses the proprietary AWS cloud-based engine Nannostomus. Then, we transform data into the desired schema and load it into SQL databases, NoSQL databases, Elastic Search, S3, or other storage options. Every step is automated so your pipelines are fast, consistent, and error-free.

To make things work, our team uses Scala, Java, .NET, C#, and Python. Our tech stack also has Docker, Kubernetes, Jenkins, Hadoop, Apache Spark, and more. But we can also use other CI/CD tools depending on the infrastructure setup already in place.

With our cloud services, you gain a fully optimized infrastructure. From developing a system to cost-optimizing cloud performance, our certified cloud developers do it all.

Keywords

cicd, job scraping, big data, data analysis, microservices, data standardization, data wrangling, backend api, big data & database, etl, cloud, scala, web data harvesting, api, database, spark, backend, serverless, web scraping, nosql, web crawling

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