Stop for just a second and think about how much data you generated today. Did you check your email? Maybe go for a run with your Fitbit? Or, maybe you’re a business that has a lot of users connecting to…
Continue reading In the Digital Age, Managing Data is Critical for Competitive Advantages
Shinesty is among the quirkiest brands on the web. The company sells clothing, costumes and general fun for those who want to stand out at a party. One look at their website, Instagram feed or Facebook page and you’ll see,…
Continue reading Why Shinesty Chose Panoply: ease of use and speed to insights
Data preparation, part of the data management process, involves collecting raw data from multiple sources and consolidating it into a file or database for analysis. Data preparation is an initial step in data warehousing, data mining, and machine learning projects.…
Continue reading Top Data Preparation Tools for Your Business
When we remember that we are all mad the mysteries disappear, and life stands explained.– Mark TwainMerriam-Webster (Definition):Be – to equal in meaning; to belong to the class of ; to have an objective existence…Weird – of strange or extraordinary…
Data as a Service (BDaaS) is a reality today. Increasing cloud usage, and new cloud services, mean you can set up data infrastructure that just works—without maintaining servers and with minimal setup and integration.Organizations undergoing digital transformation need to understand…
Continue reading Data Platform As A Service: IaaS, PaaS And SaaS
When we say “big data”, many think of the Hadoop technology stack. Is this the big data stack?Well, not anymore. Big data concepts are changing. The data community has diversified, with big data initiatives based on other technologies:The common denominator…
Continue reading Big Data Stack in Big Data Analytics | Panoply Blog
The idea is pretty simple: the more you have of something, the more challenging it is to manage. This absolutely holds true when it comes to data. Today, we’re seeing the “datafication” of the modern business and almost all organizations,…
Continue reading Big Data Management: 5 Key Points to Remember
We use databases to store, organize, query, and process structured data in computer systems quickly and efficiently. In this post, I will highlight how two leading databases, MySQL and Oracle, are different. Without delay, let’s now jump into the details…
Just ten years ago, even the most advanced analytics professionals only had to manage a handful of data sources. But data volume, velocity, and variety are now increasing exponentially.In 2016, IBM estimated that 90% of the world’s data had been…
Continue reading Data Warehousing Concepts: Everything You Need to Know in 4 Minutes
Humans are visually motivated. When we see a movie, we’re drawn to the most beautiful and exotic settings, the most striking and recognizable actors, the biggest explosions. What we don’t spend a lot of time thinking about is the work…
Continue reading Business Intelligence and Data Warehousing Meet: Magic Ensues
Both business and tech analysts agree that a capacity for advanced analytics is becoming mission-critical to the basic viability for all companies. While some believe that we are only three to five years to this point, others estimate that there…
Continue reading Becoming an analytics driven organization: challenge accepted
Meet Justin Mulvaney, he’s the data analyst at Spacious, a company based in New York City. We recently sat down with Justin to talk about his background, how he serves the data needs of a fast-growing startup, and how a…
Continue reading How Justin Mulvaney at Spacious Saves Time With Panoply
