Kevin Petrie on the Rise of Observability

Jan 28, 2022 by Wayne Eckerson in Secrets of Data & Analytics Leaders

ABSTRACT:

In the physical world, you can see a bridge rusting or a building facade crumbling and know you have to intervene to prevent the infrastructure from collapsing. But when all you have is bits and bytes—how can you tell if your digital applications and data pipelines are about to go up in smoke?...

Standardizing Data Delivery with Data as a Product

Jan 20, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

Modern enterprises only want to consume vetted information. Data engineers struggle to deliver the timely, accurate data this requires. A new way to standardize and automate data delivery is to treat data as a product. You can view a data product as a modular package that data teams create, use,...

Machine Learning and Streaming Data Pipelines, Part II: Training and Operating Streaming ML Models

Jan 13, 2022 by Kevin Petrie in Decoding Data Software

ABSTRACT:

To succeed with streaming ML, data science teams must implement a feature store as part of a flexible machine learning architecture.

Getting Started with DataOps

Jan 12, 2022 by Joe Hilleary in Delving Into Data

ABSTRACT:

The DataOps methodology promises to help businesses build data solutions faster with fewer errors. Moving from theory to practice, however, takes careful planning. This article will outline the basic tenets of the strategy and give you a framework from which to launch your own DataOps initiative.

Patching Data Pipeline Leaks: Meeting the Challenge of Data Quality in the Cloud

Jan 12, 2022 by Joe Hilleary in Delving Into Data

ABSTRACT:

Data pipelines in the cloud drop data due to issues outside companies’ control. At scale, identifying these errors requires an automated approach.