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In-Stream Big Data Processing

Highly Scalable

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. In addition, we survey the current and emerging technologies and provide a few implementation tips. The article is based on a research project developed at Grid Dynamics Labs.

Big Data 154
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What is IT operations analytics? Extract more data insights from more sources

Dynatrace

Then, big data analytics technologies, such as Hadoop, NoSQL, Spark, or Grail, the Dynatrace data lakehouse technology, interpret this information. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Provide data literacy for stakeholders. NoSQL database.

Analytics 178
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Kubernetes in the wild report 2023

Dynatrace

While Kubernetes is still a relatively young technology, a large majority of global enterprises use it to run business-critical applications in production. Findings provide insights into Kubernetes practitioners’ infrastructure preferences and how they use advanced Kubernetes platform technologies. Java, Go, and Node.js

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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130
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Data Engineers of Netflix?—?Interview with Kevin Wylie

The Netflix TechBlog

I stumbled into data engineering rather than making an intentional career move into the field. I started my career as an application developer with basic familiarity with SQL. I was later hired into my first purely data gig where I was able to deepen my knowledge of big data. What drew you to Netflix?

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Redis vs Memcached in 2024

Scalegrid

However, its limited feature set compared to Redis might be a disadvantage for applications that require more advanced data structures and persistence. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Data transfer technology.

Cache 130
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Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. The posting on the AWS developer blog also has some more background.

Big Data 111