
Aurora Serverless Data Security and its Deployment
Data Security
In this article, Data Security acts as an important segment. This consists of certain standard levels and various technologies that are used for data protection. This helps to secure data from accidental destruction and altering disclosures. Overall, in this article Aurora Serverless data security is majorly pointed. The AWS creates Aurora, which is nothing but a cloud-native execution of RDBMS. Finally, the implementation of Aurora is “serverless”.

An Overview of Autopsy: Open Source Digital Forensic Platform
Data Security
Digital forensics refers to the way toward recouping information from computerized gadgets, from PC hard drives to cell phones. This movement is frequently connected with criminal or common investigations.

What are the common successful methods to do smoothing?
Data Security
What are the common successful methods to do smoothing?
Exponential smoothingExponential smoothing is a weighted moving average technique which is especially effective when frequent re-forecasting is required, and when the forecasts must be achieved quickly. It is a short-term forecasting technique that is frequently used in the production and inventory environment, where only the next period’s value is required to be forecast.

referential integrity
Data Security
Referential integrity is a subset of data integrity that refers to the accuracy and consistency of data linked between tables. Referential integrity is majorly important -if a database lacks referential integrity, this can result in return of incomplete data without any indication of an error.
Referential integrity is a property of data stating that all its references are valid. In the context of relational databases, it requires that if a value of one attribute of a relation references a value of another attribute, then the referenced value must exist.

What are the tools used for DataOps?
Data Security
What are the tools used for DataOps?
SQL tools to help users implement DataOps, monitor database performance, and provision of new databases.DataOps borrows Process Control, a key concept from Lean Manufacturing.

What are the questions you answer before making a data strategy?
Data Security
What are the questions you answer before making a data strategy? Any tips?
Nevertheless they are important to ask, and answer, when developing a big data strategy. ... Some examples of questions can be: How does big data fit in our culture? How much money do we want to spend on big data? How much time do we have to implement a big data project? Which departments should be involved?

Data strategy
Data Security
How do you define a data strategy for your organisation? What are some of the useful framework in practice ?
Data Strategy describes a “set of choices and decisions that together, chart a high-level course of action to achieve high-level goals.” This includes business plans to use information to a competitive advantage and support enterprise goals.

What You Need to Know about the EU’s 2018 General Data Protection Regulation
Data Security
Data is everything. In fact, thieves are now targeting consumer and business information rather than financial assets, simply because there is so much more value in data. Find out more about how GDPR is changing the way we all work with data in the midst of this Information age.
The General Data Protection Regulation (GDPR), agreed upon by the European Parliament and Council in April 2016, will replace the Data Protection Directive 95/46/ec in Spring 2018 as the primary law regulating how companies protect EU citizens' personal data. ... Requiring the consent of subjects for data processing.

No one is ready for GDPR
Data Security
I read an article recently stating that no one is ready for GDPR, not even the regulators, This seems to be the case, despite a flurry of 'you have to give us more permissions' emails.https://www.theverge.com/2018/5/22/17378688/gdpr-general-data-protection-regulation-eu
The General Data Protection Regulation 2016/679 is a regulation in EU law on data protection and privacy in the European Union and the European Economic Area. It also addresses the transfer of personal data outside the EU and EEA areas.

AI based Hacking
Data Security
Weaponizing AILast year, two data scientists from security firm ZeroFOX conducted an experiment to see who was better at getting Twitter users to click on malicious links, humans or an artificial intelligence. The researchers taught an AI to study the behavior of social network users, and then design and implement its own phishing bait. In tests, the artificial hacker was substantially better than its human competitors, composing and distributing more phishing tweets than humans, and with a substantially better conversion rate.The AI, named SNAP_R, sent simulated spear-phishing tweets to over 800 users at a rate of 6.75 tweets per minute, luring 275 victims. By contrast, Forbes staff writer Thomas Fox-Brewster, who participated in the experiment, was only able to pump out 1.075 tweets a minute, making just 129 attempts and luring in just 49 users.http://gizmodo.com/hackers-have-already-started-to-weaponize-artificial-in-1797688425
Artificial Intelligence as Security Solution and Weaponization by Hackers. Artificial intelligence is a double-edged sword that can be used as a security solution or as a weapon by hackers. AI entails developing programs and systems capable of exhibiting traits associated with human behaviors.