Solving your big data integration challenges
The gargantuan volume of big data puts stress on data pipelines, causing bottlenecks and compromising data timeliness. To decrease latency and ensure data accessibility for analysis, we build lightweight, high-performance ETL and ELT systems with batch and stream processing to accelerate time to value and support the modern pace of business.
To accommodate the explosive growth of datasets, our software engineers draw on their multi-year experience in designing scalable big data architectures. Underpinned by industry-leading frameworks like Hadoop MapReduce and Apache Spark, your big data integration platform will effectively process large workloads. We also leverage cloud computing technologies to provide elastic, scalable, and fault tolerant environment for your integrated data.
Synchronizing data sources
With data extraction, migration, and transformation causing desynchronization, it’s imperative for businesses to maintain data consistency across all sources. We help you keep your data in sync through carefully scheduled updates and continuous monitoring.