TLWR: maintaining a Node.js code base is essential to ensure its success in the long term. There are three main categories to maintain an application: dependencies maintenance, Node.js versions maintenance, and Main dependencies and architecture maintenance. There is excellent content for starting the journey as a Node.js developer; you could find a handful of articles, courses, tutorials, and videos to help developers kickstart a project and guide them through the developing process.

A year of virtual meetings, homeschooling, and social distancing has taken a toll on all of us. According to a 2021 article from the Kaiser Family Foundation, around 40% of Americans have reported symptoms of depression and anxiety during the COVID-19 pandemic. Mental health providers worldwide are struggling to meet increased patient demand while navigating increased telehealth needs.

Today’s telecom engineers are expected to handle, manage, optimize, monitor and troubleshoot multi-technology and multi-vendor networks, in a competitive and unforgiving market with minimal time to resolution and high costs for errors. With the ongoing growth in operational complexities, effectively managing radio networks, current and legacy core networks, services, and transport and IT operations is becoming a radical challenge.

Software testing for Fortune 500 companies and large enterprises has many similarities to testing for mid-market companies – primarily that it’s focused on providing a quality experience to the end-user. Most of the world’s largest companies are broken down into small agile teams, so working with massive enterprises can often feel like working with a startup team. However, there are some key differences.

When you’re working with personally identifiable information (PII), you may have to follow data privacy laws that govern how you must handle it. If the PII comes from an educational institution, that law is the Family Educational Rights and Privacy Act, also known as FERPA.

As many organizations push forward in adopting cloud-first strategies, issues often arise with addressing how their suite of applications and systems can remain integrated securely and efficiently. Whilst the movement to the cloud was a huge step in technological advancement, advancements in API technology now make “hybrid cloud” models possible, and businesses exist both in the cloud and on premises.

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. This year, we expanded our partnership with NVIDIA, enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI.

When digital disruption first hit the finance and investment markets, it seemed to signal the death knell for the traditional banks and financial institutions. For a time, it looked as though the best-known brands were doomed to become utilities: only good for basic financial transactions, weighed down by legacy processes and technologies, and viewed as little more than digital dinosaurs.

Modern enterprises leverage over 400 data sources to stay ahead of the competition. The sheer volume and complexity of data operations raise several challenges for intrepid organizations: How to cut the complexity of data operations? Enterprises turn to data lineage for the answer. Data lineage is the process of recording and visualizing data assets as they flow along your system.

We use Fivetran ourselves for rapid access to rich, query-ready marketing data — the key to transformative insights.