Anybody who hangs out in IT or data science circles will invariably become familiar with the acronym GIGO. GIGO stands for “garbage in, garbage out” (or “good in, good out,” depending on who you ask). But semantics aside, it’s a…
Continue reading Less GIGO, more KNOW: Do’s and Don’t’s in Data Collection and Distribution
Before we get into the power of data, it’s important to understand just how much data we’re creating. A recent report from Cisco indicates that globally, the data stored in data centers will nearly quintuple by 2021 to reach 1.3…
Continue reading Don’t Let Data Collect Digital Dust: Creating Competitive Advantages through Data
We’re really beginning to experience another industrial revolution. That is, we’re actively entering into the ‘Age of Data.’ As you look at your own life, business, and world around you – you’ll quickly notice that so much of it is…
Continue reading Real World Data Warehousing Examples: Use Cases and Applications
Data architecture is the system behind how an organization collects, stores, and integrates data.All organizations should have a structure for their datasets to ensure efficiency in handling and manipulating them. Some of the advantages of having structured datasets include:Continue reading…
Continue reading What is Data Architecture? People, Process & Technology
Big data is definitely popular. In fact, more organizations are investing in their own data platforms to really gain as much value as they can out of the information they’re creating.Gartner recently pointed out in a survey that investment is…
We are creating so much data. In fact, a recent Cisco report indicates that by 2021, data center storage installed capacity will grow to 2.6 ZB, up from 663 EB in 2016, nearly a 4-fold growth. Furthermore, globally, the data…
As a company formed by data engineers and analysts, we at Panoply love data in all its forms! But when you’re working with different types of data storage and processing tools, it’s important to understand the constraints and performance abilities…
Continue reading How To Tell The Difference Between A Database And A Data Warehouse
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
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
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
