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. Optimizing Data Input Make Use of Data Forma t In most cases, the data being processed is stored in a columnar format.

Big Data 274
article thumbnail

Stream Processing vs. Batch Processing: What to Know

DZone

The concept of data has been there for centuries, but only now do we have enough computational resources to process and use that data. There are different ways through which we can process data. The two popular ways used for data processing are batch processing and stream processing. What Is Batch Processing?

Insiders

Sign Up for our Newsletter

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

Trending Sources

article thumbnail

Batch Processing vs. Stream Processing: Why Batch Is Dying and Streaming Takes Over

DZone

With this data comes the challenge of processing it in a timely and efficient way. Companies worldwide are investing in technologies that can help them better process, analyze, and use the data they are collecting to better serve their customers and stay ahead of their competitors. Let’s recap some of the basics first.

article thumbnail

Redefining the Boundaries of People, Process, and Platforms

DZone

The theme of their discussion was redefining the boundaries of people, processes and platforms. Day two of Dynatrace Perform began with a great discussion between Kelsey Hightower , Distinguished Developer Advocate at Google Cloud Platform and Andi Grabner , DevOps Evangelist at Dynatrace.

article thumbnail

Batch Request Processing With API Gateway

DZone

Batch request processing is a powerful technique used in web development to improve the performance of APIs. In this article, we'll explore how to implement batch request processing in Apache APISIX and look at some use cases where it can be beneficial.

article thumbnail

Processing Time Series Data With QuestDB and Apache Kafka

DZone

Apache Kafka is a battle-tested distributed stream-processing platform popular in the financial industry to handle mission-critical transactional workloads. Processed market data and orders may then be saved to a time series database for further analysis.

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