A new Python package from Fivetran and Astronomer enables connector management in Airflow.

Many technologies of the last century are out of date now, but flat file databases are still very much in use today and likely will be for a long while yet. They’ve stood the test of time for over four decades and are still going strong for a variety of reasons.

Encryption of Data at Rest is a highly desirable or sometimes mandatory requirement for data platforms in a range of industry verticals including HealthCare, Financial & Government organizations. The capability increases security and protects sensitive data from various kinds of attack that could be internal or external to the platform.

Let’s start with a real-world example from one of my past machine learning (ML) projects: We were building a customer churn model. “We urgently need an additional feature related to sentiment analysis of the customer support calls.” Creating the data pipeline to extract this dataset took about 4 months! Preparing, building, and scaling the Spark MLlib code took about 1.5-2 months!

Customers interact with your business multiple times before reaching any goal. These repeated digital interactions are what make up the customer journey. Your customers’ overall experience across the different channels as they engage with your organization (websites, social media, email, etc.) make up the customer experience. Customer journey analytics refers to the process of analyzing the experience of customers across multiple touchpoints in the customer journey.