If you manage a direct to consumer platform generating high volumes of disparate data we can help setup and operate a big data analytics production platform that can manage all types of batch, interactive and real-time workloads.
Architecture and Frameworks
We help you harness disparate data sources to create and capture more value added, leveraged data analytics. We can analyze data of all shapes and sizes, located anywhere in your enterprise or beyond. Our Data Flow Pipeline Platform offers a scalable and low latency architecture using a broad range of open source frameworks including Flume, Kafka, Hadoop MapReduce, HDFS, HBase, Hive, Spark and others to customize a pipeline tailor made for the workload whether batch interactive or real-time.
Big Data Analytics – Transformation, Ingestion, Processing
The benefits of leveraging this powerful frameworks allow us to focus on key aspects of your domain problem including modeling data and selecting efficient formats for data persistence, establishing an effective plug and play integration between multiple and wide ranging data sources and processing pipelines, and enabling ad hoc interactive querying and data mining of the processed data as well as algorithm driven machine learning strategies to increase and grow important business KPI’s like AOV, add to cart, checkout conversion, etc.
Big Data Visualization
We can combine multiple sources and present data cohesively on an optimized Dashboard for better decisions making. We help you gather, interpret, and deliver the insights that shape timely and smart decisions throughout the C-suite.
We work with you to get Right Data to Right People, transforming Big to Agile.