Systems | Development | Analytics | API | Testing

Data is essential to marketing. It’s how we know our audience and measure campaign outcomes. It shows us where to adjust a campaign on the fly, for even better results. But working with data is increasingly complex, and having the right stack of technologies is invaluable.

Based on the usage of thousands of Snowflake customers, leading marketers are leveraging Fivetran to tackle Customer 360.

In today's fast-paced digital landscape, harnessing the power of data has become paramount for businesses striving to deliver exceptional customer experiences and stay ahead in the competitive market. At the forefront of this data revolution stands Snowflake CDP, an innovative Customer Data Platform (CDP) that promises to redefine how businesses manage, integrate, and leverage their customer data.

Recently, I got my hands dirty working with Apache Flink®. The experience was a little overwhelming. I have spent years working with streaming technologies but Flink was new to me and the resources online were rarely what I needed. Thankfully, I had access to some of the best Flink experts in the business to provide me with first-class advice, but not everyone has access to an expert when they need one.

Traditional metrics like ticket resolution time or customer satisfaction scores (CSAT) are undeniably significant. However, to gain a more holistic picture, product analytics can be applied to: ‍

Monolithic architectures have long been the go-to when it comes to software design and building applications. However, monolithic architectures have their fair share of drawbacks and make it harder to make changes to an application efficiently. Therefore, monolithic architectures have given way to a new type of architecture that allows developer teams to make faster and more efficient changes, known as microservices architecture.

Domain-driven designs are popular in organizations that have complex domain models and wish to organize engineering around them. REST-based architectures are a common choice for implementing the API entry point into these domains. REST-based solutions are straightforward for the API builder and for API consumers concerned with data from a single API. But what about developers tasked with aggregating information across domains?

Data management is a critical aspect of any business, and secure, efficient data transfer mechanisms are an absolute must. This is where Secure File Transfer Protocol (SFTP) comes into play, offering a method to transfer files securely over networks. However, with the rise of cloud computing, a more accessible, scalable, and cost-effective solution has emerged: Cloud SFTP.

This year, we’ve witnessed a significant shift in the tech landscape. Industry giants like Amazon (AWS), Facebook, Twitter, GitHub, and others are embracing GraphQL APIs, both for their internal operations and external interactions. GraphQL, hailed as the SQL for APIs, is more than a query language – It's a runtime that efficiently retrieves data from databases.

Semantic layers are a game changer, allowing organizations to define metrics and business logic in one, centralized location. Because business users can trust that their data is built on a single source of truth, the semantic layer also empowers self-service analytics. Looker Modeler has become a leader among semantic layers, allowing users to seamlessly layer on top of their business data.