Systems | Development | Analytics | API | Testing

Comprehensive Guide to Connecting Excel to Google BigQuery

Google BigQuery is a robust, serverless, and highly scalable data warehouse that allows businesses to analyze massive datasets in real-time. For data professionals working in mid-market companies, the ability to connect Excel to BigQuery opens up new possibilities for combining the advanced data manipulation capabilities of Excel with the powerful analytics engine of BigQuery to pass to downstream applications like Tableau or Power BI.

Connect Excel to Salesforce Using 4 Methods

Salesforce is a powerful customer relationship management (CRM) platform that holds a vast amount of business-critical data. However, many data analysts and business professionals rely on Excel for data manipulation, reporting, and analysis. The ability to seamlessly connect Excel to Salesforce is essential for companies who need to centralize their data from Excel and other data sources to Salesforce.

Koyeb Launch Week: Round 2

Welcome to our second launch week! After the success of our very first Launch Week in June, we’re back with another batch of announcements! Last Launch Week, we released: We had a blast rolling out so many new features and announcements at once, we decided we wanted to do it again! So here we are, gearing up for our second launch week in 3 months. If you follow our changelog updates on the Koyeb Community, you’ve seen what we’ve been working on and delivering since then.

How to Improve Your CRM Data Management Based on Insights From 140+ Companies

At Databox, we’re firm advocates for improving your business through data. But just having that data isn’t enough – you need to manage it well for it to serve you. Customer relationship management (CRM) software excels at capturing the data you need for your marketing and sales operations. But that data needs regular upkeep and careful analysis for you to use it effectively. If you don’t feel like you’re on top of your CRM data management, you aren’t alone.

How to build an app like Astrotalk?

The astrology business is booming rapidly and so is its popularity. Why? As it has become more accessible than ever before to a global audience due to digital transformation. Nowadays, you can see all over social media how people are talking about their zodiacs and matching their personalities or compatibility with each other. This, in turn, has led to an uprising in demand for the astrology app development company.

The ultimate guide to Laravel caching

In the web development world, speed and performance are must-haves. Whether you're building a static website, software-as-a-service (SaaS), or bespoke web software, it's important that everything loads quickly to keep your users happy. One of the most common ways to optimize for speed in Laravel is caching. Caching refers to the practice of storing data inside a "cache" or high-speed storage layer.

Speedscale vs Coder: Ephemeral Developer Environments for Different Needs

Speedscale and Coder are two distinct tools that, while both aim to increase developer productivity, serve fundamentally different purposes. Both provide software development environments for enhancing productivity and collaboration in software development teams.

Databricks Data Lakehouse Versus a Data Warehouse: What's the Difference?

Businesses today rely heavily on data to inform decisions, predict trends, and optimize operations. However, more data volume and complexity has led to growing pressure to find scalable, cost-effective solutions for data storage while staying within IT budgets. Companies want to handle both structured and unstructured data efficiently, while supporting advanced data analysis and machine learning use cases.

New research from Confluent sees IT leaders share their biggest AI implementation challenges

12th September 2024 - Skills shortages are the #1 challenge facing IT leaders looking to implement artificial intelligence in 2024. That's according to research from Confluent, released ahead of this year's BigData LDN event. The research, which surveyed over 500 UK IT leaders, explores the top challenges facing IT departments when it comes to adopting and implementing AI.