Remove insights data-platform optimize-data-sharing
article thumbnail

My top learning and pondering moments at Splunk.conf22

Rocket-Powered Data Science

None of that was necessary on the Splunk.conf22 virtual conference platform. I was able to see a lot, learn a lot, be impressed a lot, and ponder a lot about all of the wonderful features, functionalities, and future plans for the Splunk platform. But the power, value, and imperative of observability does not stop there. is here, now!

article thumbnail

How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. smava believes in and takes advantage of data-driven decisions in order to become the market leader. smava believes in and takes advantage of data-driven decisions in order to become the market leader.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. With these insights, teams have the visibility to make data integration pipelines more efficient.

Metrics 103
article thumbnail

Centralize Your Data Processes With a DataOps Process Hub

DataKitchen

Data organizations often have a mix of centralized and decentralized activity. DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows.

article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity.

Testing 307
article thumbnail

How the GoDaddy data platform achieved over 60% cost reduction and 50% performance boost by adopting Amazon EMR Serverless

AWS Big Data

At GoDaddy, we take pride in being a data-driven company. Our relentless pursuit of valuable insights from data fuels our business decisions and ensures customer satisfaction. Our commitment to efficiency is unwavering, and we’ve undertaken an exciting initiative to optimize our batch processing jobs.

article thumbnail

NHL turns to venue metrics data to drive sustainability

CIO Business Intelligence

To reduce its carbon footprint and mitigate climate change, the National Hockey League (NHL) has turned to data and analytics to gauge the sustainability performance of the arenas where its teams play. The most important thing about any sustainability platform is you cannot impact what you cannot measure,” Mitchell says.

Metrics 143