Too much data and not enough actionable insights?
A specialized data engineering squad can build solutions to address every possible issue and convert your data into valuable insights to fuel your growth. Trust us, no data challenge is too big when you've got the right sidekick in your corner!
Have a look at some of puzzles our custom solutions can solve for you:
Data Integration
Combining data from different sources, each with its own format, semantics, and structure, can be quite the headache when you're trying to get it all into one analysis-friendly format.
The solution: Build ETL pipelines to cleanse, transform, and integrate data from disparate sources, using tools like Snowflake and Apache Spark.
Data Quality and Consistency
Data that is not consistent, precise, or complete can result in flawed analyses and misguided decisions.
The solution: Leverage tools like Spark SQL and AWS Glue's DynamicFrames to establish thorough data quality checks and validation procedures throughout the data pipeline, while also automating data processes to handle routine quality issues.
Data Processing
There is no one-size-fits-all solution in data processing. The ideal processing approach depends on several factors, including the nature of the data, the requirements of the application, and the urgency of decision-making.
The solution: Use Apache Airflow, Apache Flink, Apache Spark, and AWS Glue to support
a combination of real-time, near real-time, and batch-processing based on the specific requirements of different use cases within the organization.
Scalability
As data volumes expand and processing demands escalate, systems can become overburdened, resulting in decreased performance and operational inefficiencies.
The solution: Mix approaches like data partitioning, caching, distributed computing, and compression techniques, to design a scalable architecture that can handle both vertical and horizontal scaling.
Dealing with a sales enablement platform that limited their growth, Equinix, a digital infrastructure company, enlisted NaNLABS' data engineering services to take the tool to the next level. After quickly integrating with Equinix's squad via team augmentation, our experts migrated the platform from Neo4J to MongoDB, to improve scalability and ease of maintenance. Our overall focus was security, seamless data integration, and infrastructure optimization, ensuring the platform's stability and real-time data access for their global sales team. And by introducing user-centric features like "template projects", we customized the tool to the company's dynamic sales strategies. Within 90 days, Equinix was ready to leverage this revitalized tool to secure multi-million dollar deals, showcasing the game-changing impact of tailored data engineering solutions. How Equinix Unlocked Multi-Million Dollar Wins With the Help of NaNLABS' Data Engineering Squad
Custom-made down to the last byte
We have hands-on experience across the board—from finance and cybersecurity to agriculture, and everything in between. No matter how complex the industry, our solutions will be made to measure, according to your unique needs.
At the top of our game but never satisfied
10+ years in software development consulting and data engineering haven't dulled our edge. Pushing tech frontiers is our passion, and we see every project as a chance to level up our game.
Versatile top-tier talent
We're tech polyglots here, fluent in everything from Postgres to Amazon Neptune, from Big Query to Cassandra. Whether you want to streamline data processing, build data warehouses, or implement advanced analytics, we've got the expertise on deck to handle it.
Fast yet precise
Think speed compromises quality? Not at NaNLABS! Combining an Agile methodology with the most comprehensive quality and security checks, we take pride in swiftly building outstanding fail-proof solutions for every client.
Frequently asked questions about data engineering
What data engineering technologies does your team specialize in?
Our squads are well-versed in an extensive number of technologies. We cover everything, from traditional ones such as Postgres to serverless options like DynamoDB. We specialize in various non-SQL solutions like Timescale and Cassandra, alongside high-volume databases like Redshift and BigQuery. Additionally, our expertise extends to diverse data sources and ingestion methods, including S3, MinIO, and numerous APIs, covering a spectrum from REST to GraphQL. Whatever you need, we've got a toolbox filled to the brim with tech options to create it.
How do you ensure data security and compliance in your data engineering projects?
At NaNLABS we work in strict compliance with standards like GDPR, and apply the most rigorous security measures and protocols, including the use of encryption, access controls, Key Management Systems (KMS), and AI code analyzers (such as Code Rabbit, Synk SonarQube). We're also ISO 9001:2015 certified, and our regular audits and staff training ensure your data's integrity and confidentiality throughout its lifecycle in our hands.
What kind of data engineering services does NaNLABS offer?
We're not only a data engineering agency, but a trusty sidekick who you can rely on for all your tech needs. NaNLABS' squads include AWS-certified engineers, and our experts can support you with everything from Data Infrastructure Design to Ongoing Maintenance and Optimization. If you prefer, we can also expand the powers of your own crew through team augmentation.