Data Security in Cloud Computing: Top 6 Factors To Consider. Do you want to know about Data Security in Cloud Computing? Then this article is for you; it lists everything you need to know about Data Security in Cloud Computing.
Cloud Storage Security and Data Encryption. For cloud storage, organizations have to take additional measures to secure cloud storage beyond the basic security measures offered by cloud storage providers like Dropbox, Amazon, Microsoft, and Google.
The NDAA guidelines reestablish an artificial intelligence advisor to the president and push education initiatives to create a tech-savvy workforce.
In this article, learn more about ETLT and see an overview of ETL and ELT, advantages and use cases, and more. Merging the Best of ETL and ELT Into a Single ETLT Data Integration Strategy
The winners of the war triggered by new data usage regulations will be companies that leverage their own data and ensure their customers' data privacy.
In this article, we'll discuss how the COVID-19 pandemic is affecting the data industry and how enterprises can prepare for the data challenges to come in 2021 and beyond.
The Internet Freedom Foundation recently published its recommendations for the Data Centre Policy by the MeitY.
This article covers data integration issues that ETL solves, the benefits of adding ETL, how this process works, and the types of ETL solutions available.
In this article, you'll learn the top 9 most damaging data breaches to date, spanning from some of the largest companies in the world.
How Federated Machine Learning Keeps Data In Your Pocket, Not In the Cloud. Let's illustrate what's happening when searching and autocomplete suggestions are presented. How is the data generated? Why should we pay attention to that?
The Invasion of Digitization: A Threat to User Data Privacy. Digitalization is, not surprisingly, driving up user data privacy concerns. Business need to take protective actions or regulators will step in. Increasingly, users are taking steps to control their own data.
The Clop group attacked Software AG, a German conglomerate with operations in more than 70 countries, threatening to dump stolen data if the whopping $23 million ransom isn’t paid.
Account takeover (ATO) attacks are on the rise, and in fact have become a go-to attack of choice cybercriminals of all stripes. In fact, in 2019 alone, ATO attacks cost consumers and e-commerce retailers a whopping $16.9 billion in losses.
As anonymised data is not good enough, other techniques have been increasingly utilised by companies to preserve privacy and security of data. In this article, we will take a look at them.
With big data comes great responsibility. Check out this article to learn how and when to use data anonymization to protect your customers' privacy and trust.
What Business Leaders Do Before Migration to the Cloud. Data warehouse transformation and up-gradation can increase the responsibilities of data engineers, DBAs, and data specialists.
With mission-critical data, you need a reliable protocol that will deliver data to the right place in the correct order.
Mobile Apps and Data Security: What Developers Ought to Learn. In the past few years, mobile app development technology is gaining much popularity. To fulfill the demands of customers.
It is important that every stakeholder has access to such their data and makes meaningful use of it.Information is no power unless it is equally accessible to all. Data can be the new age oil, but it cannot be used to fuel the world unless it is equally available, accessible, and affordable by all the stakeholders. More so in a day and age where, under the weight of the global pandemic, enterprises worldwide have embraced “Virtual Agile Delivery” as the new accepted norm of working.
If you run a website, a data lake or a data science platform, you have to protect it against hackers. Cloud simplifies, but doesn't solve security entirely. Why security is everyone's responsibility? Between 2015 and 2018, I was leading a data engineering team for a financial services company. We were the first team in the company to use Azure, and we built a data science environment.