article thumbnail

Critical Components of Big Data Architecture for a Translation Company

Smart Data Collective

Below we’ll go over how a translation company, and specifically one that provides translations for businesses, can easily align with big data architecture to deliver better business growth. How Does Big Data Architecture Fit with a Translation Company? That’s the data source part of the big data architecture.

article thumbnail

Bringing scalable real-time analytics to the enterprise

O'Reilly on Data

The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data. Borthakur was the founding engineer of HDFS and creator of RocksDB , while Bhat is an experienced product and marketing executive focused on enterprise software and data products.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Understanding Digital Interactions in Real-Time

CIO Business Intelligence

The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. All interactions are digital interactions. In a business context, this is defined as an interaction. The open data stack. Meeting new expectations.

article thumbnail

Explore visualizations with AWS Glue interactive sessions

AWS Big Data

AWS Glue interactive sessions offer a powerful way to iteratively explore datasets and fine-tune transformations using Jupyter-compatible notebooks. This post is part of a series exploring the features of AWS Glue interactive sessions. To get started today, refer to Developing AWS Glue jobs with Notebooks and Interactive sessions.

article thumbnail

Data Architecture and Strategy in the AI Era

Cloudera

But, even with the backdrop of an AI-dominated future, many organizations still find themselves struggling with everything from managing data volumes and complexity to security concerns to rapidly proliferating data silos and governance challenges.

article thumbnail

What is a Data Mesh?

DataKitchen

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The communication between business units and data professionals is usually incomplete and inconsistent. Introduction to Data Mesh. Source: Thoughtworks.

article thumbnail

7 types of tech debt that could cripple your business

CIO Business Intelligence

Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time. Engineering teams also risk drowning in tangled service interactions instead of delivering new features.

Risk 140