By Roman KrayovskyyOct 04, 2017
Software Development

Finding the Right Partner to Redesign Your SDLC

How partnering with experts can make going agile completely painless.

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By Lyubomyr HumetskyySep 07, 2017
Software Development

Development To ols: Talent, Tech Leadership, & Trust

Benefit from these three things in your next software project

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By Alex OblovatnyyAug 30, 2017
Software Development

SerDe in Python

A comparison of popular serialization formats.

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By Dmytro IvanovAug 25, 2017
Software Development

Today’s Importance of Multilevel Talent in Software Development

With software design, development, and deployment, it’s more than just technological experience that makes projects successful

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By Sergii Zabigailo, Andrii OmelianenkoAug 03, 2017
Software Development

Kubernetes + Travis-CI

Despite stiff competition in the tech world, the industry is settling on Kubernetes as the default container orchestration engine.

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By Oleksandr BerchenkoJan 19, 2017
Data & AnalyticsSoftware Development

How to Load Data from a Hadoop Cluster into a MemSQL Database

In this post, system architect Oleksandr Berchenko describes two ways to load data from HDFS to a MemSQL database.

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By Yuliya Yurchyshyn, Volodymyr Dovhanyk, Nadiya TrubDec 15, 2016
Business AnalysisSoftware Development

Scope Creep: When Development Projects Don’t Go as Planned

According to PMI, 44% of projects in 2015 suffered from scope creep. Learn how to avoid it in SoftServe's new blog.

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By Oleksandr BerchenkoOct 29, 2016
Data & AnalyticsSoftware Development

How to Process Slowly Changing Dimensions in Hive

How to handle Slowly Changing Dimensions (SCD) in a data warehouse with Hive database.

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By Andrii PastushokSep 12, 2016
Software Development

Product Development Services 2.0: Startup Success for Venture Capitalists

Why Product Development Services 2.0 may be venture capitalists' panacea ensuring startups' success.

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By Oleksandr BerchenkoAug 10, 2016
Data & AnalyticsSoftware Development

Cassandra + Spark SQL Performance (including DSE 5.0)

This post focuses on quick and dirty performance comparison of different Cassandra + Spark options.

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