Apache Spark: Lightning-fast, large-scale data processing to empower your business

Apache Spark has become ubiquitous in organizations across the globe for data engineering for its advantages. Spark is fast and it enables you to process data 10 to 100 times faster than the rest of the platforms. It has a thriving open-source community within Big Data enthusiasts.

Despite its advantages, organizations have not been able to truly tap into its power. They struggle with analyzing huge streams of data and complex pipelines resulting in high resource usage and long cycle times.

Knoldus helps you in identifying key issues and suggest better solutions - a refined architecture, an accurate toolset, and robust pipeline designs.

Knoldus can help you in Spark with

Fast Data Applications

We are experts in building Fast Data applications that are a combination of your data at rest and data at motion. These applications enable real-time analysis and decision making for the organization to yield better customer experience, predictability and ROI.

Batch Data Processing

We have experts to process your large amount of data in a very efficient manner by improving your performance results and at the same time optimizing your cost.

Stream Processing

We have worked with many of our clients for Stream Processing ensuring zero loss of data with efficient performance and ensuring the best analytics for your business.

Building Data Pipelines

We are proficient in designing, architecting as well as developing the perfect Data Pipelines for your streaming data processing. Our core is around Spark, Delta Lake, Kafka, Vertica, Airflow, Apache Beam and Lightbend Pipelines.

Data Analysis

We can help you with the analysis of your data with ad-hoc Spark SQL, Structured Streaming thus giving you the right results. We have expertise in tuning and optimizing queries for faster and better results.

Machine Learning

Our MachineX team of Data Scientists can help you build various ML models using Spark ML and other related frameworks that supplement speed with high-quality algorithms.

Moving on-premise cluster to Cloud

Our DevOps experts can help you with all your clustering needs and efficiently use resources to save you $$$. We exactly know how to move your on-prem cluster to Cloud by designing it in the right way ensuring zero loss of data.

Performance Tuning & Re-Architecting

Our experts can help you re-architect Spark-based data pipelines with the accurate architecture, suggest the right tools and solutions for faster execution, for instance, making pipelines truly parallel without losing the accuracy of ML models. We also help with operational aspects like deployment & testing strategy. We will be happy to help with a fixed price, 2-3 week assessment program, wherein we bring in our experts well-experienced in this aspect.

Clients for whom we built future ready products on Spark