2013 Data Management Information 
Smart Data Collective
JANUARY 26, 2021
One of the main areas that the big data strategy covers is which data the company will use and how it will act on the information. That’s the data source part of the big data architecture. Further, big data itself incorporates working with growing amounts of data these days. That’s just staggering.
Smart Data Collective
FEBRUARY 10, 2022
Let’s take a look into some of the most common types of corporate cyber-attack in the market today, and what you can do to protect your company’s data. There are many ways to classify cyber-attacks, but the most informative method is to classify them based on their objective. It has ranked #1 since 2013.
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Smart Data Collective
AUGUST 27, 2020
Credit card companies used to brand their big data strategies as a clear benefit. MasterCard announced the use of big data to help consumers more back in 2013. To start with, retailers who want to perform an online transaction with you may ask if you’d like to have your card data stored online.
Smart Data Collective
SEPTEMBER 25, 2019
Data breaches are becoming more common in today’s society. Hackers know they can sell compromised information on the dark web or use it for purposes such as blackmail. However, encryption technology for data protection is widely available. It involves protecting information with cryptography via a scrambled code.
Smart Data Collective
APRIL 10, 2019
Once the attacker obtains the password and metadata, they can use this information for whatever purpose they want. Target experienced one of the largest attacks in the history of retail America on or before Black Friday of 2013. The thieves installed data-stealing code onto card-swipe machines at every store.
Sisense
MARCH 4, 2020
And all of this change comes down to one little word: data. In 2013 , the healthcare industry produced 153 exabytes of data; in 2020, that volume is estimated to increase over 15-fold to 2,314 exabytes. It’s projected that healthcare data is expanding faster than in manufacturing, financial services, and media.
Data Pine
MAY 14, 2019
Before we tell you why each of our entries makes the best books on data science, it’s important to give you a little context on this most exciting of modern fields. In 2013, less than 0.5% of all available data was analyzed, used, and understood. A top data science book for anyone wrestling with Python.
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