Month: January 2023

It's no secret that a tech startup is only as good as its engineering team. It's tempting to follow that statement by saying an engineering team is only as good as its talent. That's true, to some extent, but it takes expertise and leadership to get the most out of your talent—and, of course, to identify and recruit the right employees in the first place. To use the most obvious analogy, even an all-star soccer team is unlikely to win a championship without a savvy coach at the helm. Similarly, even the most stacked engineering team (pardon the pun) risks falling short without a smart and persistent leader.

As the engineering lead at a growing up startup, I've experienced success and navigated numerous challenges. While a leader's role is multifaceted, steering the ship through difficult times is one of the most critical Aspects. So let's take a look at the three biggest challenges I've encountered and how they can be overcome.

Data is one of the most critical components of any business, as it allows us to personalize and customize our products for potential consumers. Yet, as important as data is, studies have shown that about 50‑70% of data collected by organizations goes unused and becomes what Gartner calls Dark Data. We can attribute this large amount of unused data to the inefficiencies in the systems that manage them.

This post discusses how methods like Data Meshes and Data Fabrics, which have emerged in the past decade, can help mitigate the problems associated with data management.

The new version of .NET enhanced the performance of the Min, Max, Average, and Sum methods for arrays and lists. How much do you think their execution speed has increased? Two times or five times? No, they got even faster. Let's see how that was achieved.

How Has LINQ Enhanced?

LINQ (Language-Integrated Query) is a simple and convenient query language. It allows you to express complex operations in a simple way. Almost every .NET developer uses LINQ. However, this simplicity of use comes at the price of execution speed and extra memory allocation. In most situations, it has no significant effect. However, in cases when performance is critical, these limitations may be pretty unpleasant.

A friend of mine runs a company that has almost 100 clients. His company is delivering IT services to its clients, managing databases, servers, apps, etc. Some of his clients have 1,000 + employees and create hundreds of millions of database records each month. For most people, such numbers would result in data becoming completely opaque.

How do you manage hundreds of millions of database records, divided unto thousands of databases?

Imploding and Exploding are two crucial PHP features that are available for use on strings or arrays. Implode() and explode() are two built-in PHP functions that can help us with these tasks.

When working with arrays and strings in PHP, the imploding and exploding functions are frequently utilized. Using a code sample as a guide, we will learn how to utilize implode in PHP. We will also look at an example of how to utilize explode in PHP.

When you are selecting databases for your latest use case (or replacing one that’s not meeting your current needs), the good news these days is that you have a lot of options to choose from. Of course, that’s also the bad news. You have a lot to sort through.

There are far more databases to consider and compare than ever before. In December 2012, the end of the first year DB-Engines.com first began ranking databases, they had a list of 73 systems (up significantly from the 18 they first started their list with). As of December 2022, they are just shy of 400 systems. This represents a Cambrian explosion of database technologies over the past decade. There is a vast sea of options to navigate: SQL, NoSQL, and a mix of “multi-model” databases that can be a mix of both SQL and NoSQL, or multiple data models of NoSQL (combining two or more options: document, key-value, wide column, graph, and so on).