Every business has unique needs; when it comes to processing, analyzing, and maintaining valuable business data, there is no one-size-fits-all solution. As a Databricks partner with over 100+ Databricks-dedicated consultants, we built ibriX to empower you to gain more value from your data.
We now present our Databricks capabilities with our home-grown accelerator, ibriX. ibriX solution accelerator is a packaged combination of AI and ML, custom scripts, reusable libraries, processes, policies, optimization techniques, and performance management with various levels of automation, including standard operating procedures and best practices.
Our exclusive predictive maintenance technique uses data analysis tools and techniques to detect anomalies in your operation and possible defects in equipment and processes so you can fix them before they result in failure.Maintenance costs are a major part of the total operating costs of all manufacturing or production plants.
– Depending on the specific industry, maintenance costs can represent between 15% & 60% of the cost of goods produced.
– For example, in food-related industries, average maintenance costs represent about 15% of the cost of goods produced. In contrast, maintenance costs for iron and steel, pulp and paper, and other heavy industries represent up to 60 % of the total production costs.
Talk to our Databricks experts
Now streamline your data processes, analytics and management with ibriX – the all-in-one Databricks accelerator.
40% increase in cost and 75% increase in productivity
Full programmatic control of the infrastructure and its security
Seamless scheduling of working bacth jobs by leveraging Cron jobs and Jenkins CI/CD schedulers
Extensive reduction of manual intervention in databricks, except for the workspace creation as a one-time setup
Advanced Analytics Solutions to Profile Customers & Arrest Churn for a Leading Payday Loans Business
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Application Performance Engineering Leveraging Elasticsearch for a Global Supply Chain Company
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Accelerating App Development Lifecycle for Complex Retail Applications by Enforcing Critical and Inclusive Testing Methods
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– ibriX provides a library of blueprints for analytics, AI & ML Use cases.
– Automation of Databricks cluster start-up and termination
– Creates pattern-based data ingestion in Databricks
– Leverages Indium-developed libraries for data ingestion, which supports simple and SCD type 2 ingestion
– Secure data sharing across organizations
– Data Lake design considerations like using Data Tiering
– Data Validation as early as possible in pipelines
– ETL/Pipeline design best practices like reusable, parameterized, restartable, etc.
– DevOps CI/CD pipelines
