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With increasing scale and speed of data, it's highly likely you're dealing with big data. The ability to properly leverage this data to produce meaningful insights will increase your competitiveness and be essential to growth.
Rapidly accumulating huge amounts of varied data comes with significant challenges and it's common to see rapidly escalating costs and reduced productivity as you struggle to cope with these challenges. We design, implement and improve big data analytics solutions so you can overcome the challenges of transforming raw data into valuable insights.
Elastic Big Data Processing
We leverage MapReduce-based systems to vastly simplify the build and operation of big data environments and applications to increase time to insight. With an agile architecture it's easy to provision clusters, scale horizontally, and reconfigure clusters and notebooks for collaborative development.
Hadoop Ecosystem
Run your choice of open source distributed frameworks (e.g. Apache Hadoop) and process massive amounts of data at high velocities. Our solutions easily integrate powerful Hadoop tools to effectively process big data. Common integrations include Apache Spark for rapid processing of large data sets, Apache Flink to run real-time stream processing on high-throughput data sources and TensorFlow for ML & Deep Learning Applications.
Low-Cost High-Volume Storage
With a multitude of data sources, we help you easily ingest and store large quantities of varied, raw data at rapid speeds in a cost effective data lake. Through seamless integration with your processing workloads, we help significantly reduce processing times and deliver insights at speed.
Value from Big Data
Combining the right storage and compute resources, we help you analyse data at scale to uncover new relationships and unlock valuable insights with data mining, predictions, recommendations and pattern finding.
Cost Efficient Clustering
For short-running jobs, we implement transient clusters that shut down automatically after a job is complete to cut costs and let you do more with your resources.
High Volume Streaming
Reduce time-to-insight with stream processing and real-time analytics. We combine a number of technologies to ingest high-velocity/volume streaming data and carry out latency-sensitive processing.
Data Security & Governance
With data spread over multiple, loosely coupled storage and compute resources, we ensure your data is encrypted at rest and in transit, and implement strong access control rules to help protect your data from accidental corruption.
Scalable & Cost Effective
We leverage comprehensive tooling to help control the cost of storing and analyzing all your data at scale and with speed.
Broad & Deep Capabilities
Big data workloads are as varied as the data assets they analyse. Our team can expertly build any big data application to support any workload regardless of volume, velocity, and variety of data.
Trusted & Secure
With our extensive security partner network, we ensure security at every architectural layer of our solutions to meet the strictest requirements and protect your distributed systems.