Watch out for "Immortal Time" in conversion rates
Learn about "immortal time" and how it impacts conversion rates.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
5 Tools to Build Modern Data Pipelines
Data pipelines are a critical element of any modern, data-driven organization. With the right tools in hand, data analysts can quickly build resilient data pipelines for your analytics infrastructure. From orchestration to monitoring, these tools can march your business towards advanced levels of automation, as well as improved transparency into how your pipeline functions along every step of its journey.
Unleash your Google Cloud data with ThoughtSpot, Looker, and BigQuery
ThoughtSpot is helping customers reimagine how they use data, analytics, and AI with Google Cloud tools like BigQuery and Looker.
What Is Embedded Analytics?
Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.
How to go from spreadsheets to a modern data stack with limited resources
Learn how growth consultant Kat Gardiner guides early-stage organizations in developing a scalable data strategy, without breaking the bank.
Prepare your data with Cloudera Data Engineering
Cloudera Data Engineering is a cloud-native service that provides an all-inclusive toolset for orchestrating and automating complex data pipelines, with built-in visual monitoring. It is fully integrated with the Cloudera Data Platform and enables data to be used by any data engineering team enabling analytics or ML across the business-delivering curated, quality datasets securely and transparently across all use cases.
Accelerate the ML Lifecycle with Unravel and Databricks
Join Craig Wiley, Senior Director of Product Management, Databricks, Chris Santiago, Vice President of Solutions Engineering, Unravel Data and Nick Pelaez, Machine Learning/Data Science Tech Marketing, Databricks to see how customers accelerate the ML lifecycle to unlock business value.
Projects in SQL Stream Builder
Businesses everywhere have engaged in modernization projects with the goal of making their data and application infrastructure more nimble and dynamic. By breaking down monolithic apps into microservices architectures, for example, or making modularized data products, organizations do their best to enable more rapid iterative cycles of design, build, test, and deployment of innovative solutions.
Google Sheets to BigQuery: 3 Ways to Connect & Migrate Data
In this blog post, we will be covering extensively how you can move data from Google Sheets to BigQuery. Before we get started, let’s cover some background concepts to help build our understanding.
Brief overview of Cloudera Stream Processing
Cloudera Stream Processing lets developers and analysts build real-time data products using industry-standard SQL. In this demo, you will see SQL Stream Builder quickly transform Kafka topics into tables to be queried and SQL queries transformed into continuous Flink jobs.