Posted on

How to Generate Customer Success Analytics in Snowflake

As the distinction between data professionals and non-data professionals becomes smaller and smaller, the need for technology that bridges the gap between the two parties is crucial. The benefits of interacting with a data warehouse, especially with large amounts of data, are unquestionable, but as a peripheral member of the core technology team who might not be very technical, it is not always practical to generate SQL queries on the fly. 

This poses a problem, especially when departments such as sales, customer success, account management, etc., want the robust insights that could come from the vast amount of data that a company is storing, but they don’t necessarily know how to quickly gather these insights. 

Posted on

Oracle BI vs. Tableau: Which Business Intelligence Tool Is Better?

In the new normal as enterprises strengthen their efforts towards digitization, the need to use data to derive valuable insights for strategic decision-making has also risen. Precisely why the Business Intelligence market is seeing tremendous growth. According to a recent report the BI market is expected to reach USD 27870 Million by 2026. With this boom in the BI market, the number of Business Intelligence software has also increased. There are over 700+ BI tools listed on Capterra and close to 500 on G2 under embedded BI software and Data Visualization tools. In this article, we will provide a detailed comparison of the two most popular BI software in the market: Oracle BI and Tableau.

Oracle BI vs Tableau - A Neck to Neck Comparison

A large number of enterprises use either Oracle BI or Tableau for their BI requirements. The user list of both these BI software includes some of the biggest global brands. So, let us see what makes Oracle BI software and Tableau popular and how these compare when it comes to product features, pricing, developer experience, and more.

Posted on

MySQL to Redshift: 4 Ways to Replicate Your Data

MySQL is the most popular open source cloud database in the world, and for good reason. It’s powerful, flexible, and extremely reliable. Tens of thousands of companies use MySQL to power their web-based applications and services every day.

But when it comes to data analytics, it’s a different story. MySQL is quickly bogged down by even the smallest analytical queries, putting your entire application at risk of crashing. As one FlyData customer said to us, “I have nightmares about our MySQL production database going down.”

Posted on

Thinking in React Hooks: Building an App With Embedded Analytics

Get hooked on React Hooks

You may have noticed that React Hooks, introduced in the React’s 16.8.0 release, have been received by the web dev community very diversely. Some warmly embraced this new way to reuse stateful logic between components, while some strongly criticized it. One thing can be said for sure — React Hooks are an incredibly hot topic now. This is confirmed by the number of articles, tutorials, video courses, and project samples on the subject.

My goal is to briefly introduce to you this powerful concept (if you are not familiar with it yet) and show how it can be applied to building a simple analytical app. Note that we’ll focus more on getting a hands-on experience rather than on debating on the pros and cons of using Hooks.

Posted on

Job Hunting in the Age of AI: How to Upskill for the 5 Hottest New Jobs

You could worry about the jobs AI will obliterate or focus on the exciting new jobs it will create. The latter will take you places.

AI is transforming global job markets. From reshaping career paths to developing new markets, it is an exciting time for people who wish to learn new skills and persevere. A report from the World Economic Forum (WEF) states that AI will create 58 million new jobs by 2022. Those who wish to capitalize on this enormous opportunity need to focus on reskilling and upskilling and take a proactive approach to learning so they can land some of the most sought-after jobs in the modern AI era.