Remove Data Warehouse Remove Insurance Remove Metrics
article thumbnail

Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

Insurance 150
article thumbnail

Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Configure monitoring, limits, and alarms in Amazon Redshift Serverless to keep costs predictable

AWS Big Data

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Open the workgroup you want to monitor.

Metrics 98
article thumbnail

Mobile Analytics: Tracking Click-to-Call Mobile Ad Campaigns

Occam's Razor

Just when you thought you were finally getting more comfortable with website analytics and the metrics you report, here comes the massive explosion of mobile data! At one level it is the normal impressions and clicks data, but on another level we are getting new data and metrics we normally don't use.

Analytics 113
article thumbnail

Optimize your workloads with Amazon Redshift Serverless AI-driven scaling and optimization

AWS Big Data

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. This post also includes example SQLs, which you can run on your own Redshift Serverless data warehouse to experience the benefits of this feature.

article thumbnail

Read and write S3 Iceberg table using AWS Glue Iceberg Rest Catalog from Open Source Apache Spark

AWS Big Data

In today’s data-driven world , organizations are constantly seeking efficient ways to process and analyze vast amounts of information across data lakes and warehouses. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines. S3FileIO').config('spark.hadoop.fs.s3a.aws.credentials.provider','org.apache.hadoop.fs.s3a.SimpleAWSCredentialProvider').config('spark.sql.catalog.spark_catalog.rest

Data Lake 116
article thumbnail

11 Digital Marketing “Crimes Against Humanity”

Occam's Razor

I fundamentally believe that having a vibrant bi-directional conversation on a destination you control with policies you set and data you control is not just insurance, it is your duty to your customers. Making lame metrics the measures of success: Impressions, Click-throughs, Page Views. How can you not love that? " 22.

Marketing 127