Systems | Development | Analytics | API | Testing

ThoughtSpot SpotApp for Outreach

This SpotApp template will have you up and running in minutes with search and AI-driven analytics from ThoughtSpot for Outreach, the leading sales engagement platform. Outreach is a critical piece of sales infrastructure for teams that need to close deals faster - particularly in the remote world. But its canned reports aggregate most data by sequence or team. With the ThoughtSpot SpotApp for Outreach, you can uncover the actionable, granular insights sales leaders need to improve team performance, and individual contributors need to benchmark their performance against peers to increase the number of meetings they book.

SpotApp for Google Analytics and Google Ads

This SpotApp template will have you up and running in minutes with search and AI-driven analytics from ThoughtSpot for Google Analytics and Google Ads, the leading web analytics and advertising tools. Google Analytics and Google Ads are ubiquitous in digital marketing. But their canned reports and tool-specific terminology make it difficult for non-experts to uncover the insights they need to track every marketing dollar with precision and personalize customer experiences at scale. The SpotApp for Google Analytics and Google Ads brings data from both of these tools into the Snowflake Data Cloud or other popular cloud data warehouses, so marketers can leverage the power and ease of search and AI to build remarkable marketing content and programs through deeper insights.

Pushing Data to Hubspot from Your Warehouse

While traditional ETL (Extract, Transform, Load) collects data within a centralized data warehouse, reverse ETL flips the target and destination of the standard ETL process. This allows information to be pushed out of data warehouses and into powerful third-party operational systems that can provide better analytics and reporting services. With the Xplenty platform and its ETL tools, all information is sent between warehouses and third-party operational systems in an efficient and secure manner.

How to Implement Change Data Capture (CDC)

If you're looking for a better way to organize your data and ensure it stays up-to-date, you need to start utilizing CDC processes today. Change data capture uses various techniques to detect changes made in source tables and databases in real-time. Read on to learn more about change data capture and how it can be implemented to better serve your business.

Apache Kafka Deployments and Systems Reliability - Part 1

There are many ways that Apache Kafka has been deployed in the field. In our Kafka Summit 2021 presentation, we took a brief overview of many different configurations that have been observed to date. In this blog series, we will discuss each of these deployments and the deployment choices made along with how they impact reliability.

Implementing Automation and an MLOps Framework for Enterprise-scale ML

With the explosion of the machine learning tooling space, the barrier to entry has never been lower for companies looking to invest in AI initiatives. But enterprise AI in production is still immature. How are companies getting to production and scaling up with machine learning in 2021? Implementing data science at scale used to be an endeavor reserved for the tech giants with their armies of developers and deep pockets.

ETL Pipeline vs. Data Pipeline: What's the Difference?

ETL Pipeline and Data Pipeline are two concepts growing increasingly important as businesses keep adding applications to their tech stacks. More and more data is moving between systems, and this is where Data and ETL Pipelines play a crucial role. Take a comment on social media, for example. It might be picked up by your tool for social listening and registered in a sentiment analysis app.