Our experience: 210+ big data projects.
Our solutions
ETL for India voter data
Discover how Intsurfing extracted, standardized, verified, and transliterated data on Indian voters.
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Address processing system
See how we revamped an address parsing system, making it 2x faster with Redis, new verification algorithms, caching, and deduplication.
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Web scraping software
See how we built Nannostomus for large-scale data extraction with efficient modules and cost-saving resource management.
Learn more->Every big data project showcases our expertise
Our expertise lies in creating highly efficient data pipelines that support your business. We use Scala, Java, C#, .net, and Spark, working with EMR on AWS or Dataproc on GCP to process your data. Kafka helps us automate and streamline your operations. We’re also well-versed in Airflow. And because we understand how vital data quality is, we make sure your data products are top-notch.
We offer flexible service models for building big data project architecture. Outsource your entire project to us, leverage our managed team model where we handle everything from HR to team management, or use our proprietary product, Nannostomus, for efficient data collection. Whatever your choice, you can count on us to deliver excellence in every aspect of your project.
Your data challenges, our expertise
Running ETL/ELT processes
Your team has probably spent hours trying to extract, transform, and load data, only to end up with errors that slow everything down. We simplify this for you. We will either build your ETL/ELT pipelines from the ground up or help you optimize the existing ones.
Let`s say you collect data from multiple sources but don’t have a way to automate the process. We’ll create a custom pipeline that handles everything, from extraction to transformation to loading. This way, you end up with an automated process that gives you clean, ready-to-use data.
Integrating data from multiple sources
You’ve got data coming from your CRM, other internal systems, and fresh data from dozens of websites—all in different formats. It’s tough to get them to work together, right? We sync up all your data, no matter where it comes from, so you get a clear, unified view.
For example, if you find it challenging to match customer data between your CRM and sales system, we’ll ensure everything aligns perfectly.
Inaccurate data analytics
You might be pulling reports, only to find gaps or inconsistencies that leave you questioning the results. That’s frustrating, right? With our big data project methodology, we ensure your data is accurate, complete, and truly reflective of your business.
For instance, if you see discrepancies in your sales reports because some data isn’t being captured or analyzed properly, we’ll fix those issues. We’ll fine-tune your analytics process so you get clear, reliable insights every time.
Processing large volumes of data
Having mountains of information is great, but processing it is another story. We help you handle these large volumes of data without breaking a sweat.
Let’s say you’re trying to process customer behavior data from multiple sources, but it’s taking forever and slowing down your decision-making. We optimize your data processing so that what used to take hours now happens in minutes. With us, you get faster, more reliable insights for your rapid decisions.
Migrating data to new platforms
Do you have information you can’t afford to lose, but the thought of moving everything over is daunting? We get it. That’s why we’re here to make your data migration smooth and stress-free.
You may need to switch to a more powerful CRM but are worried about losing customer data or facing downtime. We handle the entire process so that your data moves without disruptions. By the time we’re done, you’ll have everything in place on your new platform.
Scalability in existing cloud infrastructure
When your business grows, your cloud infrastructure needs to keep up, but scalability can be a real challenge. You might notice slowdowns or limits that weren’t there before, and suddenly your systems can’t handle the load. We optimize your existing cloud infrastructure, ensuring it scales as your business expands.
For example, if you’ve recently launched a new product and your cloud services struggle to manage the increased traffic, we’ll step in to boost performance and capacity.
Tech stackwe use in our big data science projects
AWS
Scala
Apache Spark
C#
.NET
Hadoop
GCP
Kafka
Java
How to start a big data project with Intsurfing
Scoping is where we clarify your project’s framework. Here, we identify the cooperation model that fits your needs—outsourcing, a managed team, or our Nannostomus product. We’ll also define the services required, whether it’s data pipeline development, data migration, or cloud optimization. We`ll also align the budget and timeline with your project on big data.
This is where we design the technical roadmap to guide the entire project. We select the right tools, frameworks, and technologies to create a robust, scalable system that serves your business as you want it to. Our architects map out how each component will interact to guarantee integration across your entire data ecosystem. Every decision is made with your goals in mind, whether it`s optimizing for speed, scalability, or cost-effectiveness.
Our team writes code, configures systems, and builds out the infrastructure. We use the Scrum approach, breaking the project into manageable sprints to ensure steady progress and quick adjustments. Each component is continuously tested and refined to guarantee everything works perfectly before moving forward. Throughout this phase, we keep you in the loop with regular updates, so you get a clear view of the project’s status.
Now it’s time to bring everything to life in your live environment. Implementation is where all our hard work on the AWS big data project pays off, and your new system starts working for you. We deploy the system, tweak it for peak performance, and make sure it integrates with your existing tools. We know the last thing you want is downtime, so we plan everything to minimize any disruptions.
Even after your system is up and running, our work doesn’t stop. We provide ongoing support and maintenance to keep everything running. This means regular check-ins, updates, and optimizations to ensure your system stays at peak performance. If anything unexpected comes up, we’re just a call or message away, ready to jump in and resolve issues quickly.
Make big data work for you
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