As easy as it is to get swept up by the hype surrounding big data, its just as easy for organisations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt.
However, given big data's power to transform business, it's critical that organisations overcome these challenges and realise the value of big data. The cloud can help organisations to do so. Drawing from IDG's 2015 Big Data and Analytics Survey, this white paper analyses the top five challenges companies face when undergoing a big data initiative and explains how they can effectively overcome them.
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems.
Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
As easy as it is to get swept up by the hype surrounding big data, it’s just as easy for organizations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt.
However, given big data’s power to transform business, it’s critical that organizations overcome these challenges and realize the value of big data.
Download now to find out more.
The European Union’s new regulatory framework for data protection laws, the General Data Protection Regulation (GDPR), became enforceable on 25 May, 2018. Under GDPR, organisations have new obligations to improve the security and privacy practices for the personal data they collect and use. With these new obligations comes the potential for heavier fines and penalties. Fortunately, Amazon Web Services (AWS) can help guide your organisation toward compliance under the new requirements. Take advantage of our services, resources, and experts as you navigate these changes.
In January 2016, the Federal Risk and Authorization Management Program released a draft of its high-impact baseline for moving federal data to the cloud. Not long after, Amazon Web Services (AWS) accepted an offer to pilot the new security threshold. AWS worked with FedRAMP to develop a set of standards under which highly sensitive government data could securely migrate into cloud environments. If ever you doubted that cloud computing was the new frontier for federal data and software management, look around. Over 2,300 government agencies worldwide have already migrated to the AWS Cloud. And in the U.S., this will only increase with the release of FedRAMP’s high baseline standards. Previously, CSPs could only become certified at a low or moderate baseline under FedRAMP, meaning agencies had no security baseline from which to spring their sensitive data into the cloud. These new standards effectively represent the fall of the final formal barrier to federal cloud computing. Terabytes o
This document provides information to assist customers who want to use AWS to store or process content containing personal data, in the context of common privacy and data protection considerations. It will help customers understand: the way AWS services operate, including how customers can address security and encrypt their content, the geographic locations where customers can choose to store content, and the respective roles the customer and AWS each play in managing and securing content stored on AWS services.
Under GDPR, we all have new obligations to improve the security and privacy of personal data at our organisations. With the new Amazon Web Services eBook, GDPR: The Basics, you’ll gain a fundamental understanding of this new EU regulation.
In this eBook, you will learn about:
• How to view GDPR as an opportunity, and how you can build on it
• Article 32 – a core part of the security principle
• Data subject rights
• Key players and responsibilities
• And much more
This document provides information to assist customers who want to use AWS to store or process content containing personal data, in the context of common privacy and data protection considerations. It will help customers understand:
Recent regulatory additions require that companies take proactive measures like penetration testing to enforce data privacy and integrity. By deploying a distributed model companies can execute testing from different security levels which is important in challenging posture based on level of access.
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.
You may have read in the news about horrific security gaps that have the potential of bringing down whole infrastructures, leaking critical business and personal data, and exposing organizations to massive liability.
There is no question that improving organizations’ security posture is a critical requirement for infrastructure and security teams.
Financial services companies have been the target of a serious, sustained, and well-funded DDoS campaign for more than a year. What these attacks have continued to demonstrate is that DDoS will continue to be a popular and increasingly complex attack vector. DDoS is no longer simply a network issue, but is increasingly a feature or additional aspect of other advanced targeted attacks. The motivation of modern attackers can be singular, but the threat landscape continues to become more complex and mixes various threats to increase the likelihood of success. There have certainly been cases where the MSSP was successful at mitigating against an attack but the target Website still went down due to corruption of the underlying application and data. In order to defend networks today, enterprises need to deploy DDoS security in multiple layers, from the perimeter of their network to the provider cloud, and ensure that on-premise equipment can work in harmony with provider networks for effective and robust attack mitigation
All enterprises need to have mitigation solutions in place. Information security is vital in the workplace and DDoS has become more complex over time. Determine whether services are the best option for primary protection through this whitepaper.
Botnets and DDoS attacks are perceived as being malevolent and unstoppable. Fortunately there are companies like Arbor Networks, who are dedicated to analyzing and stopping botnets and DDoS attacks on a global basis.
This Frost & Sullivan white paper identifies what organizations need to know to protect their intellectual property and prepare for unexpected data breaches. Cyber threats continue to mutate and grow in volume. Read on to learn more.
Ask any cybersecurity professional and she’ll tell you that her job is getting increasingly difficult. Why? Most will point to a combination of the dangerous threat landscape, IT complexity, and their overwhelming workload. These issues are driving a major transition in enterprise security. Large organizations must move beyond a threat prevention mentality to
become proactive cyber-¬-attack “hunters” that constantly monitor their networks for signs of trouble. This shift to proactive hunting will require new technologies that collect, process, and analyze massive amounts of security data, offer intelligent security analytics for real-¬-time incident detection, integrate threat intelligence to align suspicious internal activities with
external threats, and provide analysts with the right data analytics features to query and manipulate data for historical investigations.
Published By: Arcserve
Published Date: May 29, 2015
Find out what you need to know about data protection appliances in this video brief by the Enterprise Strategy Group’s Sr. Data Protection Analyst, Jason Buffington. In this short video he’ll analyze:
-Various types of data protection appliances
-Market trends regarding appliance adoption
-What data protection specialists expect from appliances
-How Arcserve has evolved to solve the issues of today’s complex organizations
Watch this video brief today!