Have you ever paid a bill for electricity, internet, or water? Was that bill based upon the amount of resources you used?

Our six key points on data pipelines include: Whether you’re a one-person show reselling items on an online marketplace or a large Ecommerce enterprise with hundreds of employees, these businesses share a common factor: both generate data. The size of your business can influence the amount of data you generate, sure. But any amount of data — if it’s not adequately accessible — is worthless. Every business, especially an Ecommerce business, needs a data pipeline.

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Administrators, developers, and data engineers who use Kafka clusters struggle to understand what is happening in their Kafka implementations.

What are the best practices of the mobile team behind one of the world’s leading buy-and-sell platforms for improving productivity and the developer experience? Read on for the five main learnings from our recent customer story.

Ecommerce Google Analytics dashboards are the best way to wrangle all your store’s most important data. Discover 8 essential formats to use.

The iterative approach to software development emerged around the 1990s. What started as a small co-located, self-sustaining team approach was widely adopted by many development teams. The agile mindset paved way for multiple development frameworks, including the infamous “Scrum methodology”. With time, processes undergo metamorphoses, during which a few unpleasant practices sneak in causing distractions within the teams.

Review your applications in detail with CPU Profiles in N|Solid and find opportunities for Improve code. You can use the CPU Profiler tool in N|Solid to see which processes consume the most percentage of CPU time. This functionality can give you an accurate view of how your application is running and where it is taking up the most resources.

It is not unusual for customers to load very large data sets into their enterprise data warehouse. Whether you are doing an initial data ingestion with hundreds of TB of data or incrementally loading from your systems of record, performance of bulk inserts is key to quicker insights from the data. The most common architecture for batch data loads uses Google Cloud Storage(Object storage) as the staging area for all bulk loads.

Government organizations have a bad rap for being inefficient. But with outdated technology and limited spending, they aren’t exactly set up for success. And the expectations from stakeholders are high, with funding provided primarily by taxpayer dollars.

Selenium is the industry-standard, open-source testing automation framework. To implement Selenium, developers first need to use a locator to find dynamic web elements that help automate the cross-browser testing of their web applications. Selenium uses several locators, including XML Path (XPath). This blog explains how to use XPath as a web element locator in Selenium.