Category: AWS Glue

Scope 3 emissions are indirect greenhouse gas emissions that are a result of a company’s activities, but occur outside the company’s direct control or ownership. Measuring these emissions requires collecting data from a wide range of external sources, like raw material suppliers, transportation providers, and other third parties. One of the main challenges with Scope […]

Text data is a common type of unstructured data found in analytics. It is often stored without a predefined format and can be hard to obtain and process. For example, web pages contain text data that data analysts collect through web scraping and pre-process using lowercasing, stemming, and lemmatization. After pre-processing, the cleaned text is […]

In the first part of this blog series, Optimize your modern data architecture for sustainability: Part 1 – data ingestion and data lake, we focused on the 1) data ingestion, and 2) data lake pillars of the modern data architecture. In this blog post, we will provide guidance and best practices to optimize the components […]

The modern data architecture on AWS focuses on integrating a data lake and purpose-built data services to efficiently build analytics workloads, which provide speed and agility at scale. Using the right service for the right purpose not only provides performance gains, but facilitates the right utilization of resources. Review Modern Data Analytics Reference Architecture on […]

With the rapid growth in data coming from data platforms and applications, and the continuous improvements in state-of-the-art machine learning algorithms, data are becoming key assets for companies. Modern data architectures include data mesh—a recent style that represents a paradigm shift, in which data is treated as a product and data architectures are designed around […]

Organizations have been using data warehouse and business intelligence (DWBI) workloads to support business decision making for many years. These workloads are brought to the Amazon Web Services (AWS) platform to utilize the benefit of AWS cloud. However, these workloads are built using multiple vendor tools and technologies, and the customer faces the burden of […]

This post was co-wrtiten with Jonathan Hwang, head of Foundation Data Analytics at Zendesk. In my role as a Senior Solutions Architect, I have spoken to chief technology officers (CTOs) and executive leadership of large enterprises like big banks, software as a service (SaaS) businesses, mid-sized enterprises, and startups. In this 6-part series, I share […]

For International Women’s Day and Women’s History Month, we’re featuring more than a week’s worth of posts that highlight female builders and leaders. We’re showcasing women in the industry who are building, creating, and, above all, inspiring, empowering, and encouraging everyone—especially women and girls—in tech. Many companies in the financial services and insurance industries rely […]

Data Services teams in all industries are developing centralized data platforms that provide shared access to datasets across multiple business units and teams within the organization. This makes data governance easier, minimizes data redundancy thus reducing cost, and improves data integrity. The central data platform is often built with Amazon Simple Storage Service (Amazon S3). […]

Ribbon provides communications software, and IP and optical networking end-to-end solutions that deliver innovation, unparalleled scale, performance, and agility to service providers and enterprise. Ribbon is helping customers modernize their networks. In today’s data-hungry, 24/7 world, this equates to improved competitive positioning and business outcomes. Companies are migrating from on-premises equipment for telephony services and looking […]