article thumbnail

Medallion Architecture: Efficient Batch and Stream Processing Data Pipelines With Azure Databricks and Delta Lake

DZone

In today's data-driven world, organizations need efficient and scalable data pipelines to process and analyze large volumes of data. Medallion Architecture provides a framework for organizing data processing workflows into different zones, enabling optimized batch and stream processing.

Azure 246
article thumbnail

Exploring Parallel Processing: SIMD vs. MIMD Architectures

DZone

In the landscape of computer architecture, two prominent paradigms shape the realm of parallel processing: SIMD (Single Instruction, Multiple Data) and MIMD (Multiple Instruction, Multiple Data) architectures. This approach enables efficient processing of large datasets by applying the same operation to multiple elements concurrently.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Improving customer experience with business process monitoring

Dynatrace

A business process is a collection of related, usually structured tasks or steps, performed in sequence, that achieve a defined business goal. Tasks may be manual or automatic, and many business processes will include a combination of both. Make better decisions by providing managers with real-time data about the business.

article thumbnail

Batch Processing: 4 Tactics to Make It Cost-Efficient and Reliable

DZone

Many modern applications have a batch processing aspect to them and regularly run high-volume, repetitive data jobs. Here are the four tactics for cost-efficient and resilient batch processing: Here are the four tactics for cost-efficient and resilient batch processing:

article thumbnail

Energy Efficient Distributed Systems

DZone

Energy efficiency has become a paramount concern in the design and operation of distributed systems due to the increasing demand for sustainable and environmentally friendly computing solutions.

Energy 182
article thumbnail

Cutting Big Data Costs: Effective Data Processing With Apache Spark

DZone

In today's data-driven world, efficient data processing plays a pivotal role in the success of any project. Apache Spark , a robust open-source data processing framework, has emerged as a game-changer in this domain.

Big Data 279
article thumbnail

Business Flow: Why IT operations teams should monitor business processes

Dynatrace

The business process observability challenge Increasingly dynamic business conditions demand business agility; reacting to a supply chain disruption and optimizing order fulfillment are simple but illustrative examples. Most business processes are not monitored. First and foremost, it’s a data problem.