nodeSWAT

MARCH 30, 2016

Most web applications rely on some sort of access control to keep users from accessing information not meant for them. If authentication is a lock on the main door of the hotel, then access control is the individual access card they give to each user for accessing their room. We have spent quite a few blog posts on various theories about security mechanisms for web applications ( Set Up a Secure Node.js Web Application , Unvalidated Redirects , What Do You Know About Clickjacking?

Accessible 52

Accessible Accessibility Systems Database 52

Zalando Engineering

MARCH 15, 2016

The testing team at Zalando is using and extending the Selenium library in order to provide the best UI automation support for development teams. Selenium is a big library and there are many technologies bundled within it: browser drivers, WebDriver Protocol, Selenium clients and so on. If you feel lost in the Selenium jungle, you should keep on reading.

Java 52

Java Programming Language Programming Python 52

ProjectPro

MARCH 21, 2016

Mainframe legacy systems might not be a part of technology conversations anymore but they are of critical importance to a business. In 1990, analysts predicted that the big data era would witness the death of Mainframes, due to the advent of various other cheap computing resources. It’s been more than 20 years after this prediction and Mainframes seem to be going strong and will be around for quite some time. 81% of the CIOs believe that Mainframes will remain an integral part of business.

Hadoop 40

Hadoop Insurance Big Data Retail 40

Zalando Engineering

MARCH 31, 2016

When the opportunity to sit down and pick the brain of Stack Overflow co-founder Joel Spolsky came up, we here at Zalando Tech jumped at the chance. Hosting him in our very own Innovation Lab amongst a developer-heavy audience, we had our VP of Engineering Eric Bowman ask him all manner of questions about programming, the beginnings of Stack Overflow, and how his web-based project management app Trello came to be.

Entertainment 40

Entertainment Programming Project Engineering 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

Zalando Engineering

MARCH 28, 2016

The tech world has been slowly permeating popular culture for some time now, with TV shows like Mr Robot and Silicon Valley making their mark, all the way to Apple's Worldwide Developers Conference being treated like a rock concert instead of the collection of release announcements it is. Apple is also further extending its reach and creating an original TV series called ‘Vital Signs’ starring Dr.

Java 40

Java Python Structured Data Accessible 40

Zalando Engineering

MARCH 22, 2016

Apps have earned their place amongst the smartphone-savvy, but Monday’s Apple announcement signaled a new found importance in the way consumers will interact with apps in the future. The recently unveiled Apple TV upgrade will allow customers to control their apps in new ways, which begs the question of where our Fashion Store app fits into the equation.

Banking 40

Banking Building 40

ProjectPro

MARCH 10, 2016

With more than 400 million profiles (122 million in US and 33 million in India) across 200+ countries, more than 100 million unique monthly visitors, 3 million company pages, 2 new members joining the network every second, 5.7 billion professional searches in 2012,7600 full-time employees, $780 million revenue as of Oct, 2015 and earnings of 78 cents per share (phew!

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

MARCH 7, 2016

Big Data is in the middle of its journey, offering various life-changing career opportunities. If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. In this constantly changing world of big data tools and technologies, project managers and hiring managers often do not know what to look for in a particular candidate, while hiring for big data job roles.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

nodeSWAT

MARCH 27, 2016

Every application has to live somewhere — a server, a phone, a device — an environment. Before we start worrying if we have used secure coding practises and avoided common mistakes we must secure the foundation of our application otherwise all our effort in avoiding injection or request forgery and other attacks will be for naught. In this blog post we will look at setting up our Node.js application server.

Certification 52

Certification Accessible Accessibility Systems 52

ProjectPro

MARCH 12, 2016

Reader's Choice: The topic for this article has been recommended by one of our Blog subscribers. With more than- -165 million active users as of August 2015; -10+ million logins every day; -13 million transactions; - Processing more than 1.1 PB of data; - $250 billion worth of payments processed every year; -12.5 million worth payments processed everyday across 203 markets; -Holding funds in 26 different currencies; - An average of 23 transactions per PayPal account; PayPal is ranked among the t

Big Data 52

Big Data Data Analytics Hadoop Algorithm 52

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Engineering

ProjectPro

MARCH 23, 2016

“In pioneer days they used oxen for heavy pulling, and when one ox couldn’t budge a log, they didn’t try to grow a larger ox. We shouldn’t be trying for bigger computers, but for more systems of computers.” — Grace Hopper, a popular American Computer Scientist. (In reference to Big Data) Developers of Google had taken this quote seriously, when they first published their research paper on GFS (Google File System) in 2003.

Hadoop 40

Hadoop IT Big Data Retail 40

ProjectPro

MARCH 29, 2016

Cracking a Hadoop Admin Interview becomes a tedious job if you do not spend enough time preparing for it.This article lists top Hadoop Admin Interview Questions and Answers which are likely to be asked when being interviewed for Hadoop Adminstration jobs. In 2010, nobody knew what Hadoop is and today the elephant in the big data room has become the big data darling.

Hadoop 40

Hadoop Big Data Portfolio Utilities 40

ProjectPro

MARCH 15, 2016

Hadoop is beginning to live up to its promise of being the backbone technology for Big Data storage and analytics. Companies across the globe have started to migrate their data into Hadoop to join the stalwarts who already adopted Hadoop a while ago. It is important to study and understand several Hadoop use cases for these simple reasons – Hadoop is still a complex technology with several limitations and complications.

Hadoop 40

Hadoop Retail Healthcare Banking 40

Zalando Engineering

MARCH 30, 2016

Saiki is Zalando’s next generation data integration and distribution platform in a world of microservices. Saiki ingests data generated by operational systems and makes it available to analytical systems. In this context, the opportunity to do near real time business intelligence has presented itself and introduced the task of finding the right stream processing framework.

Kafka 40

Kafka Data Lake Data Warehouse Business Intelligence 40

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Building