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Big Data is drastically changing the iGaming landscape

Big data is transforming a wide variety of industries, including iGaming, as it gives companies the opportunity to introduce significant changes to their services. Here are a handful of ways big data is changing the iGaming landscape.

iMovo Announces New Partnership with Snowflake

We are proud to announce that we have partnered up with Snowflake. Snowflake is a fully managed service with a pay-as-you-go-model that works on structured and semi-structured data. Its unique architecture delivers proven breakthroughs in performance, concurrency and simplicity. For the first time, multiple groups can access millions of gigabytes of data at the same time, up to 200 times faster and 10 times less expensive than traditional data warehouse solutions.

Common Reasons Why Big Data Projects Fail

Data scientists believe that big data is the next big thing. Big data promises to solve customer service conundrums that have been perplexing businesses for decades. Many businesses are already using it to improve their customer service.

Mistakes to avoid when using Big Data

In today’s data driven world, information is money. Businesses around the world are investing a considerable amount of resources to mine, store, and process data that can help them uncover important patterns and other trends.

The Impact of Big Data in Healthcare

Big data is already being leveraged in the Healthcare industry. Here are ways how its already benefiting the industry, and the latest trends to keep an eye on.

How to boost your business with Data Literacy

We’ve all heard that data has increased, mainly due to the advancement, availability and high usage of technology. Being able to access and understand as much of this data as possible, already indicates the value that someone, or a business, can get out of it. Nowadays, there are a lot of tools available to analyse data, most of which offer Artificial or Cognitive Intelligence to help even further by automating part of the data analysis.

Beginner’s Guide to Big Data

What is Big Data? What differentiates it from any other data? In reality, the answer is as simple as pure volume. Big Data is a self-explanatory term. What sets it apart from other data are the methods which we use to analyse it. Smaller scale data can be analysed using some functions and perhaps even by hand, but the larger your data the more difficult it will become to do that. We require specific tools and methodologies both to properly store the data as well as to get the most value out of it.

Time to automate your workflows: Tableau releases the Data Management Add-on 

Tableau has released its latest version of its software – Tableau 2019.1. This release is the biggest one yet and it has a slew of new and exciting features. One of the most anticipated features is ‘Ask Data’ where you can use naturally written language to ask your data questions, without needing prior knowledge on how to build a visualisation yourself.  

Three types of Big Data

Data can be defined as the characters, quantities or symbols that aid the operations performed by a computer. Data can be stored and shared in the form of electrical signals that are recorded on a range of devices. This can include optical, magnetic, or mechanical recording devices.  

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