Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 114

Strategy Development Data Analytics 114

Altexsoft

FEBRUARY 10, 2021

Unless you meet it in the article saying that “only 13 percent data science projects make it into production.” Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. How DataOps relates to Agile, DevOps, and MLOps.

Analytics 75

Analytics DevOps Development Software Review 75

Daniel Bryant

JANUARY 28, 2022

In the previous two parts of this series on Testing Microservices, you have learned about the concept of request isolation and explored how this enables multiple developers to “share” a single staging environment and still get the fast development/testing feedback loops. The quality of the deployment environment is high (production realism).

Microservices 96

Microservices Testing Software Review Technical Review 96

Altexsoft

JUNE 7, 2021

How does it work? How does it work? What are its limitations and how do the Hadoop ecosystem address them? This article gives you all the answers — one by one. Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. Why did the need for Spark arise at all?

Big Data 98

Big Data Tools Data Storage 98

Confluent

MAY 9, 2019

To read the other articles in this series, see: Journey to Event Driven – Part 1: Why Event-First Thinking Changes Everything. Yes, we can transact across partitions in Apache Kafka ® , and with traditional database transactions you get many “trust” semantics for free; however, they are pushed down into the database runtime.

Microservices 92

Microservices Metrics Systems Review Architecture 92

Altexsoft

SEPTEMBER 21, 2023

It is developed in Java and built upon the highly reputable Apache Lucene library. What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? But like any technology, it has its share of pros and cons.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Instaclustr

MARCH 4, 2019

Well, that’s how they are meant be. Its purpose is to define the scope of services that the MSP offers, including: guarantees on metrics relevant to their business and technology customer responsibilities issue management compensation commitment when MSPs fail to deliver on the SLA. But hold on!

Technical Review 43

Technical Review Open Source Case Study Metrics 43

Daniel Bryant

DECEMBER 3, 2019

CONFERENCE SUMMARY Day two operations, new architecture paradigms, and end users In this second part of my KubeCon NA 2019 takeaways article ( part 1 here ), I’ll be focusing more on the takeaways in relation to the “day two” operational aspects of cloud native tech, new architecture paradigms, and end user perspective of CNCF technologies.

Technical Review 10

Technical Review Microservices Software Review Cloud 10

Bernd Rucker

JULY 18, 2019

I showed how this allows you to leverage workflow automation in a lot more use cases , also in low latency, high-throughput scenarios. I revealed that Zeebe plays in the same league as e.g. Apache Kafka. In this article I want to go deeper. Say hello to cloud-native workflow automation?—?part part 2 In Zeebe.io?—?a

Scalability 42

Scalability Data Center Data Engineering 42

Confluent

OCTOBER 24, 2019

As a next step, specifically for this article I’ve added SSL and combined some topics together, using the subject name strategy option of Confluent Schema Registry , making it more production like, adding security, and making it possible to put multiple kinds of commands on one topic. The bank application.

Banking 18

Banking Software Review Testing Applications 18

Altexsoft

MARCH 30, 2023

In this article, we’ll highlight the reasoning behind this choice and the challenges related to it. To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64