Tag: Cloud database

March 22, 2017

Domain Related, Hosting Related

Reading Time: 5 minutes

Taking a critical look at big data gives companies valuable insights that allow them to make better-informed strategic decisions. Looking at these insights - and then making smart strategic moves based on your deductions - gives you the edge over your competitors and provides a more complete picture of your business. Undertaking big data analytics isn’t the simplest of processes though. You need the computing resources in place for it to be done effectively, and here at 4GoodHosting we like to share what we know as a Canadian web hosting provider who understands Internet marketing as well. So, What Exactly is Cloud Analytics? Cloud analytics is a cloud-based solution which enables businesses to carry out analyses and related intelligence procedures through integrated cloud models, whether that’s with hosted data warehouses, SaaS business intelligence (BI) or cloud-powered social media analytics. A whole range of analytical tools and techniques are put to work to help companies extract information from massive data and then present it in a way that is easily categorized, readily available via a web browser, and - most importantly - digestible and comprehensible for those who have interests in it. A Unified Vision For The Business Many companies face problems when different elements within the organization do not share the same perception of what is going well for the company - and what isn’t. Often, they are all working from their own data sets without a collectively agreed-upon ‘big picture.’ Cloud analytics makes it easier to identify and firmly define what that big picture should be. One of the crucial advantages of using cloud analytics is its ability to consolidate big data from all sources and communication channels that a company employs. The capacity that cloud computing offers allows everything to feed in in a linear and timely manner: you can gather large-scale data from all your internal apps, devices, social networks and data subscriptions. Needless to say, that would be difficult to do in-house and on a single network. Using a cloud-based data management platform lets you easily blend data from a range of sources, enabling it to be matched, merged and cleansed – with the collective volume...

June 13, 2016

Hosting Related

Reading Time: 4 minutes

What is meant by NoSQL databases? NoSQL databases schemas and applications have now emerged into the mainstream as a modern tool for organizations battling big data requirements. But what does NoSQL actually imply, and what advantages and disadvantages does NoSQL deliver for data storage? Here is everything you ever wanted to know but were afraid to ask about NoSQL. To begin with, NoSQL”is not a specific database product. It is a term that refers to a general category of database methodology and techniques; and a handful of vendors have implemented NoSQL administration in different ways. Yet all NoSQL products share a basic defining characteristic; which is that NoSQL implementations do not use the “relational-database” model of traditional SQL-style databases; such as currently ubiquitous in shared hosting “MySQL”. “Traditional” DBs Gaining an understanding of exactly what NoSQL means requires a recap on how most databases today have typically functioned for the past several decades. With a relational database like MySQL, the database architect or programmer needs to define and detail in advance where the data is going to be stored. Different tables are created, different pieces of data are stored inside different tables, and data is retrieved based on table structure. So MySQL, and other relational databases, are close to perfect if you know ahead of time what structure your data will be represented in; and also have a sense of how much data that will need to be stored. But what happens when your storage needs not so predictable? What if your applications data storage needs to be highly scalable? Relational databases don’t work quite so well in those situations. Simplicity, Openness, and Scalability NoSQL allow you to stream data into a database without defining a formal storage structure ahead of time. As a result you do not need to write as much cryptic code for an application to interact with the database. Also you can retrieve data quickly without having to tell your application where precisely to pinpoint what data you want within a large, rigid, syntactically very sensitive database structure. NoSQL DB’s also tends to scale better as they are designed to be able to run easily on...