In most working environments, there are two things people tend to dislike: First, excessive meetings that prevent employees from making progress on their to-do lists. And second, paperwork. Whether it’s processing financial statements, reading inventory forms, or completing onboarding paperwork for employees, organizations have to deal with a slew of document types to keep operations running.
Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations—mainly data centers—has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.
Data integration is essential for analytics, regression analysis and your first forays into generative AI.
In software development, an API-first approach has emerged as a powerful methodology for building robust and interoperable systems. An API, or Application Programming Interface, acts as a set of rules and protocols that enables different software applications to communicate with each other. It defines how different software components should interact and exchange data.
Countly has many powerful features, and one of them is Hooks. You can set up custom triggers and actions, and we want to expand it even further. But for now, let’s check some simple but powerful use cases you can implement. Notifying you in Slack about new crashes happening in your app.
Every business that analyzes their operational (or transactional) data needs to build a custom data pipeline involving several batch or streaming jobs to extract transactional data from relational databases, transform it, and load it into the data warehouse. In this post, we show how you can leverage Amazon Aurora zero-ETL integration with Amazon Redshift and ThoughtSpot for GenAI driven near real-time operational analytics.
