Data has long been a critical asset for businesses like yours to understand customers, operate more efficiently, inform go-to-market strategies, and retain your best employees. In a digital world, capturing and creating data-driven insights provides a major competitive advantage for those who can turn insights into action.

When trying to find the perfect database to store your company’s valuable information and data, there are many elements to consider. And, while there are a number of great databases available for companies to choose from, the process of choosing the right database for your company’s needs and goals can still be a difficult process. However, as you weigh your options, one database that needs to be on your list of considerations is Vertica.

The API economy is growing rapidly. According to research by Coleman Parkes enterprises were twice as likely as their peers to be confident they are differentiating themselves by using Application Programming Interfaces. The same report showed that companies with advanced API management processes experience up to 47 percent better business results than those with basic API management.

Since its conception, DreamFactory has always consistently provided value to its customers with its on demand, custom generated API management tools, and we’re proud of how we’ve been able to support our customers.

Data governance is a complex topic. In a nutshell, it refers to the aspect of data management concerning an organization's ability to ensure (A) that high data quality exists throughout the complete data lifecycle, and (B) that sufficient data controls are in place to support business objectives. In practice, data governance is the collection of processes, roles, policies, and standards that ensure a balance between access and control for information throughout an organization.

In part one and two, we introduced Iguazio's feature store and discussed the benefits of using one in the ML workflow. Additionally, we ingested and transformed the data that we will be using to train our model. In this blog, we will do the following.

The start of a new year is a perfect time to reflect on what was accomplished and look forward, re-evaluate what we can do better. Change, although difficult at first, can also be very rewarding. That’s why I was excited to see similar sentiments shared at Thoughtspot beyond.2021 to move beyond the traditional dashboards of the past.

“Let’s get to the point” is something we’d all love to say in certain situations. The talkative restaurant server. The aunt who tells the same story over and over. The cooking blog that tells the author’s entire life story before the recipe. These people love to talk but they can’t read the room. They make the listener/reader work extra hard to understand the point, like finding a needle in a haystack.

WordPress is an excellent platform to start an online store, but it’s missing many crucial features to support an eCommerce experience. But what is eCommerce? It refers to all forms of online transactions, but the term is often used interchangeably with “online shopping.” The further explanation could be found on Hostinger. To create an online store and enable eCommerce features, you need to activate a payment gateway.

The Data Mesh is a fascinating approach to designing and developing data architectures – and it’s generating a lot of attention and discussion in the data world. The concept, introduced by Zhamak Dehghani, challenges the status quo idea of a centralized, monolithic data architecture. Instead, advocating for a decentralized domain-driven design.