As a leading Big Data consulting firm, Wavicle excels at helping clients overcome the challenge of capturing, integrating, storing, and analyzing ever-increasing volumes and variety of multi-type data (streaming, batch, structured, non-structured, etc.).
Many companies today are struggling with legacy solutions and first generation Big Data solutions. Data volume and variety have outgrown legacy solutions, and first generation Big Data solutions are strained for affordability and supportability.
If your legacy solution and/or first generation Big Data strategies are no longer functioning effectively, Wavicle is eager to lend our expertise to help your enterprise solve this near-universal problem.
Growing volumes of not just more data, but more complex data, require improved data management and performance optimization at all levels. Wavicle’s Big Data services—involving structured data, unstructured data and all types of data in between—provide appropriate, scalable big data strategies and architectures that create capacity and room for growth for managing your data, both now and in the future:
- Incorporate performance optimization into a cloud-based, big data analytics framework to ramp up processing power and speed as big data volumes increase.
- Reduce data volumes early on (data aggregation, data compression, eliminate superfluous fields, mitigate data duplication) to speed up processing times.
- Include faster, parallel processing through logical and efficient data partitioning.
- Eliminate resource guzzlers – cumbersome processing steps that take up too much time, effort, and processing bandwidth.
Our expertise in Hadoop, NoSQL database, Spark, etc., adds machine learning, artificial intelligence, and IoT to accomplish these initiatives more efficiently. Wavicle’s near-shore and off-shore research teams are excited to continue the work of evolving and simplifying the steps we use to help your enterprise gain the most value from your big data.