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Cloud Data Warehouse Architecture: Backbone of Modern Data
Collecting information is one thing; storing it the right way is another challenge. Modern businesses need dynamic, scalable systems that turn raw data into real insights—and that's where cloud data warehouse architecture comes in.
Explore the key components, models, and best practices for an effective cloud data warehouse architecture and how NaNLABS can guide and support you.
Data Engineering for EV Networks: 3 Business Challenges
Scaling an EV charging network isn’t easy. From choosing the right sites to minimizing downtime without blowing the budget, it's smart data use that makes it possible.
Explore how Cloud Data Engineering can help solve common EV Charging Network challenges, including data fragmentation, uptime, and operational costs.
Cloud-Native Observability Platform for EV Charging Company
An EV charging company needed to design a scalable, cloud-native data architecture to process information, gain insights fast, and improve reliability. Learn how NaNLABS supported them to achieve these goals.
An EV charging company needed to access data coming from multiple EV charging stations. Along with NaNLABS, it built an observability tool to drive insights, here’s how.
Reducing Fleet Downtime with Real-Time Data Analytics
Every minute an EV fleet is out of service means lost revenue, inefficiencies, and customer dissatisfaction. Discover how real-time analytics can transform your operations to minimize downtime and optimize costs.
Downtime isn’t just an operational challenge—it’s a strategic risk that affects revenue, asset utilization, and scalability. In an uptime-critical industry, reactive maintenance isn’t enough; real-time insights are the key.
In-House vs. Outsourced Data Engineering: Which Is Best?
Data collection, processing, and analysis are essential for gaining a competitive edge and driving innovation. But should you build this capability in-house or outsource to data engineering experts? Let’s break down the pros and cons.
Building, managing, and scaling efficient data pipelines requires a skilled team. The question is—should you develop that expertise in-house or leverage an external team to drive smarter, data-driven decisions?
AI in Customer Experience: Boost Engagement and Cut Costs
Wow your customers at every stage of the lifecycle with AI-powered features. Learn the benefits of using AI in customer experience, real-life examples, and pitfalls.
AI models allow you to automate repetitive tasks, drive insights from data, and improve the customer experience. Here’s how.
How Databricks Transformed Real-Time Data for Analytics
Databricks completely changed how we stream and process real-time data. This makes it the go-to choice for building advanced analytics. Here’s how to use this service to solve common data management challenges.
Process data from diverse sources in real-time with Databricks for advanced analytics. Here’s what Databricks can do for you (with examples).
How to Secure Access to Your Infrastructure with AWS
Securing cloud infrastructure is essential, but traditional bastion host setups often come with challenges. What if I told you that you could still leverage bastion hosts without the hassles? Dive in to find out how!
Securing access to your infrastructure is crucial. Dive into our comprehensive guide to learn how to do it with AWS Session Manager and a Bastion host.
8 Auto Industry Challenges Solved with AWS Solutions
AWS offers purpose-built services for addressing unique automotive industry challenges. Here’s a compilation of AWS automotive solutions that help you tackle each need along with real-life use cases.
Wondering which AWS service to use to power connected vehicles? Here’s a list of AWS automotive solutions based on the challenges each of them solves.
Cloud-Native Data Engineering in Automotive: 2025 Trends
Self-driving cars and over-the-air (OTA) updates are two examples of how cloud-native solutions have shifted the automotive industry. Here’s how carmakers worked in the past compared to today, and future industry trends.
Learn how cloud-native data engineering shifted the automotive industry and supports upcoming trends such as in-car personal virtual assistants.
Choosing AWS Services: 11 Top Solutions for RESTful APIs
There are over 200 AWS services. So, how can you know which one covers your needs? In this article, we explore the 11 AWS services we use and recommend the most to help you make a decision.
With over 200 AWS services, choosing the right ones for your software can be a steep task. Here’s a review of the top 11 solutions from the AWS Service list.
Top Challenges in Data Engineering Platforms to Overcome
Data engineering is the cornerstone of modern business, powering efficiency, innovation, and predictive decision-making. However, it comes with unique challenges that we’ll address in this article.
Are you facing data engineering challenges? Discover actionable solutions to integration, security, storage, scalability, performance, and compliance issues.