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Title
InMobi uses machine learning for anomaly detection in ad data pipelines
…house on the lakehouse — and MLflow to build their next-generation AI platform. They’ve also found great success with Spark Declarative Pipelines for anomaly detection, with a 50% improvement in SLAs and an 80% reduction in costs. Data silos and d…
Description
InMobi, a mobile advertising platform, migrated from a multicloud data warehouse to the Databricks Data + AI Platform to unify data warehousing, AI and analytics workloads. Using Spark Declarative Pipelines for anomaly detection, InMobi achieved a 50% improvement in SLAs and an 80% reduction in costs. Teams use MLflow to build their next-generation AI platform and are exploring large language models to let end users query data conversationally. The migration also delivered 32% lower total cost of ownership, 15% faster queries, and 20% better reporting performance versus their prior multicloud data warehouse.
…lso found great success with Spark Declarative Pipelines for anomaly detection, with a 50% improvement in SLAs and an 80% reduction in costs. Data silos and data discoverability are no longer an issue either, thanks to U…
…ting to 20% better performance of reporting and insights delivery to end users. The TCO is 32% lower compared to when they used a multicloud data warehouse, and there’s been a 24% cost reduction in running their ETL pipelines as well.…
Company
InMobi
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / InMobi CUSTOMER STORY Driving meaningful connections between customers and brands 32%…
Industry
Technology & Software
…InMobi’s customers as well as their internal end users. Share this post Details Industry : Technology and Software Use Case : Data Engineering Cloud : Azure Product : Databricks SQL , Spark Decl…
Deployment model
Cloud
…his post Details Industry : Technology and Software Use Case : Data Engineering Cloud : Azure Product : Databricks SQL , Spark Declarative Pipelines , Unity Catalog Ready to…
Problem
As InMobi's data processing requirements grew to 20+ terabytes per hour, the cost of running their proprietary multicloud data warehouse skyrocketed, and its closed nature created silos that hindered collaboration and data sharing.
…er data to deliver targeted mobile advertising and lock screen experiences. But as data processing requirements increased to 20+ terabytes per hour, the cost of running their multicloud data warehouse skyrocketed, while its proprietary nature created silos that hindered collaboration and data sharing. InMobi migrated from their multicloud data warehouse to Databricks to unify th…
Solution
InMobi migrated from its multicloud data warehouse to the Databricks Data + AI Platform to unify data warehousing, AI and analytics, using Spark Declarative Pipelines for anomaly detection, MLflow to build its next-generation AI platform, and Unity Catalog for governance, while exploring large language models for conversational data queries.
…proprietary nature created silos that hindered collaboration and data sharing. InMobi migrated from their multicloud data warehouse to Databricks to unify their various workloads (data warehousing, AI and analytics), streamline operations and free up their engineers to work on more valuable tas…
Technology
Databricks SQL, Spark Declarative Pipelines, Unity Catalog, MLflow
…ls Industry : Technology and Software Use Case : Data Engineering Cloud : Azure Product : Databricks SQL , Spark Declarative Pipelines , Unity Catalog Ready to get started? Try Databricks for free Learn more about our product Talk…
Use case type
Fraud and anomaly detection
…house on the lakehouse — and MLflow to build their next-generation AI platform. They’ve also found great success with Spark Declarative Pipelines for anomaly detection, with a 50% improvement in SLAs and an 80% reduction in costs. Data silos and d…
Headline outcome
…house on the lakehouse — and MLflow to build their next-generation AI platform. They’ve also found great success with Spark Declarative Pipelines for anomaly detection, with a 50% improvement in SLAs and an 80% reduction in costs. Data silos and data discoverability are no longer an issue either, thanks to Un…
Business value
InMobi saw a 50% improvement in SLAs and an 80% reduction in costs from Spark Declarative Pipelines anomaly detection, plus 34% lower infrastructure costs, 15% faster queries, 20% fewer job failures, a 32% lower TCO and a 24% cost reduction in running ETL pipelines versus their prior multicloud data warehouse.
…r of measurable improvements across the board after the migration. Not only are infrastructure costs 34% lower than before, but there is also a 15% boost in query speeds and 20% fewer job failures compared to their previous data environment, all contributing to 20% better per…
…ting to 20% better performance of reporting and insights delivery to end users. The TCO is 32% lower compared to when they used a multicloud data warehouse, and there’s been a 24% cost reduction in running their ETL pipelines as well. More qualitatively, the team is seeing overall better reliability — with system…
AI capabilities
Fraud & Anomaly Detection
…house on the lakehouse — and MLflow to build their next-generation AI platform. They’ve also found great success with Spark Declarative Pipelines for anomaly detection, with a 50% improvement in SLAs and an 80% reduction in costs. Data silos and d…
Deployment options
cloud
…his post Details Industry : Technology and Software Use Case : Data Engineering Cloud : Azure Product : Databricks SQL , Spark Declarative Pipelines , Unity Catalog Ready to…
