Ops-based Data Analytics

Get real-time insights out of your data analytics platforms

Data Analytics that moves faster than the competition

You already have the data, but every organization struggles with speeding up the rate at which insights are derived from the pool of data that makes your business unique.

The transition from batch processing and SQL-only interfaces to a platform that provides standardized interfaces for ingestion of data into a data lake and extracting real-time analytics from that platform.

APIvista’s Terazo platform interfaces with industry-leading data lake technologies like HDFS, Spark, and Amazon Redshift to move data and open the data consistently to other systems.

OPS READY

Preparing your data lake and real-time analytics platform to run as a 24×7 service takes operational readiness.

Terazo helps achieve this by delivering as part of its technology stack:

  • Observation
  • Instrumentation
  • Real-time analytics with Spark
  • Logging

INTERFACE-DRIVEN

To securely and consistently open both the data and analytics up to other systems,

you need a layer to perform the critical functions of:

  • RESTful interfaces
  • Access Control
  • Intermediation
  • Synchronization

Ensure that there is a repeatable, well-defined path to publishing analytics results to the enterprise.

RESPONSIVE

Ensure that your data lake is always fronted by a platform ready to deliver results and critical features such as:

  • Orchestration
  • Message Bus
  • Access Control
  • Aggregation

Terazo gives you an event-driven message bus architecture that simplifies implementation and offloads processing effort from the supporting systems.

PUT OUR PLATFORM TO WORK FOR YOU Let's Go