March 2017 – ISS Art Blog | AI | Machine Learning

How You Can Use Cassandra in the Big Data World

Mar 31 2017

In simple terms, the goal of typical big data systems is to get some business benefit of information. Commonly, we need to collect the data, save it in a certain location, perform some analysis (up to data mining), and visualize results.

Though every business case is unique and there is still no silver bullet, some frameworks, tools and platforms are widely used as big data system building blocks. You may have heard frequently used words like Hadoop, Hive, Spark, Kafka, Cassandra, HBase and others.

This article covers the main features of Cassandra DB with respect to usage as an element of big data system infrastructure and our experience.

Wild horses are the metaphor for chaos in software project management. Harness and use their force for the project success.

Mar 27 2017

Imagine: you are a customer of a big software project that tangled in chaos. Several practices will help you make your project manageable and profitable.

Mar 24 2017

How successful is your business? How much of your business is done on the internet? Nowadays, every other businessman has a web application to offer their services online. Was it created locally or by a virtual team? I believe, a group of highly-skilled developers working across the road was hired to deliver the project. You must have paid quite a fortune for the time they dedicated to the product.
Read More

Database: How To Make a Bad Thing Work Well

Mar 22 2017

Our team uses software development and database best practice and it turned out that developers got used to some of it and stopped looking at it with a critical eye.

There is a widely known opinion that implementing a business logic on the DB side is a bad idea. In most cases it is true, and can be explained in many ways.

Smart version control for project managers

Mar 17 2017

Today I’m going to tell you about Git version control (branching) model that we use widely in ISS Art to effectively manage code base of our projects. The experienced software development teams might know this model as major ideas were found long time ago and posted in the articles:

Version Control for Multiple Agile Teams by Henrik Kniberg
A successful Git branching model by Vincent Driessen

Here, I’m going to consolidate these ideas in the way that could be easily understood by software project managers, product owners and decision-makers to explain them the technical challenges that can arise due to certain harmful business decisions, and how they can impact development costs and schedule. Examples of harmful business decisions:

Task reprioritization after development start
Request to include one more feature in release during release testing
Too many hotfix requests

Archive - March 2017

How You Can Use Cassandra in the Big Data World

Harnessing the chaos in software project management

Working in a Virtual Team

Database: How To Make a Bad Thing Work Well

Smart Version Control for Project Managers and Decision Makers

Contact us

Categories