Systems | Development | Analytics | API | Testing

Putting Data FinOps into practice

A new approach to taming cloud data costs Data management services are the fastest-growing category of cloud service spending, representing approximately 40% of the total cloud bill. 80% of data management professionals report difficulty accurately forecasting data-related cloud costs. In this session, you will learn how FinOps enabled a consistent view between executives, finance, business, and engineering teams, a comparison of FinOps for DevOps and for DataOps teams, and how AI is enabling new levels of efficiency for modern data stacks with DataFinOps.

What's new in Kong Ingress Controller 2.9 - Gateway Discovery #kubernetes #ingress #kic

In this tutorial, we'll dive into the seamless integration of dynamic scaling and instance discovery with KIC 2.9! Today’s release allows running the Ingress Controller and the Kong Gateway data planes separately in different pods. This feature enables KIC to scale cost-effectively as it removes the overhead of running the KIC sidecar with every single Gateway instance. Besides memory savings, users should also see a significant decrease in CPU usage.

Jet Analytics: A complete data preparation, modeling, and automation solution

Jet Analytics is a complete data preparation, automation and modeling solution that is 5 times faster than hand coded solutions and can be managed in-house. It adapts quickly to changing business needs, to ensure you always have consistent, timely, accurate data that you can trust, making it easy to deploy your front-end visualization tool (Power BI, for example) or reporting tool of choice.

ThoughtSpot for Google Cloud Platform

ThoughtSpot is partnering with Google Cloud to expand self-service analytics capabilities beyond the dashboards! Now you can use AI-powered search to query Google BigQuery in real-time, access the Looker semantic layer to obtain reliable and standardized data models, and close the productivity loop with ThoughtSpot plugins for Google Sheets, Connected Sheets, and Slides.

Telecom Data Cloud | Snowflake For Telecommunications

Telecommunications companies are under pressure to adapt and respond to changing customer preferences, market conditions, and industry regulations. The Telecom Data Cloud enables telecoms to leverage the full potential of data to help deliver exceptional customer experiences, power new revenue streams, and accelerate transformation, while also enabling the highest levels of data security, governance, and compliance. Join Snowflake customers, partners, and data providers already driving revenue and competitive advantages in the Data Cloud.

Setting up Google BigQuery as a data warehouse in minutes

In this tutorial, learn how to set up a new Google BigQuery cloud-based data warehouse account and extract data from all your data sources using Stitch in less than 3 minutes. Stitch partners with the most common data warehouses and data lakes to help move your data from sources like Shopify, MongoDB, LinkedIn Ads, Zapier, Hubspot, SendGrid, Google Analytics, and more. Google Analytics. Watch this step-by-step tutorial on how to set up Google BigQuery for data storage.