Perfect Integration in Migrating Data seem Easy, but is it?
Data integration may seem simple at first glance, but a lot of IT professionals know that no matter how perfect the plan, it does not always turn out perfectly.
However, that does not mean you constantly have to deal with flawed results. Done properly, data integration can be concluded with minimal errors and therefore minimal correction necessary. If you are currently tackling this problem, following are some tips to know about flawless data integration.
Small Sample Size
Choose a small sample size first where you can verify the validity of your data flow. Most IT professionals jump right into the whole collection of data, tackling 1 terabyte of information at a time. You will find that this not only increases the amount of waiting time, but it also amplifies the chances of error. Your best approach would be to test the data flow on that small sample size first. Does it work? If it does, then you can proceed with the next steps!
Trim the Data
Some data contents such as string manipulations are unnecessary and can only add weight to the process. You will find that trimming these down can speed up results without really affecting the accuracy of said results. No need to trim the complete data immediately: just do this on your sample size and observe.
Split Complex and Parallel Data Flows
Much like in mathematics, data flows should be seen as a group of small data rather than a large collection of information. When confronting complex and parallel data flows, you therefore have to split these into smaller and more manageable categories. The great thing about this is that you can run them independent of each other, therefore making it easier for you to catch problems. Keep in mind though that this might not always work so it’s best to have backup.
One important thing to keep in mind is that data integration is no longer as clear cut as it used to be. There are different categories of DI such as analytical, operational, and more. The good news is that there are numerous tools that can help organize all the information quickly, efficiently and accurately. As an added bonus point, most DI’s today rely on core values – which means that specific tools are no longer necessary for specific types. Simply choose software that works for you and run with it!
Be Careful When Joining
This cannot be stressed enough – you don’t want to join data haphazardly since one mistake can reverberate throughout the DI process. Also keep in mind that there are different types of joining and choosing the best one can improve or completely ruin dataflow. Be aware of the impact of merge, replicated, skewed, etc. joining before use.
It can be tough at first, but like all IT practices, data integration becomes more definite by following a specific protocol. Make sure to establish these habits for every task you make and perhaps add a few more as your expertise increases with the tax. Following the right steps, you’ll find yourself getting definite and usable results in the morning!
Revelations in Data Security: Is Data Ever Safe?
Data breaches are becoming more and more frequent–as well as increasingly severe–putting more information at risk to more and more people. Between the credit card breach at Target over the holiday season, right up to the recent and overwhelming Ebay debacle, this problem is not going anywhere–and if trends are any indication, it is only going to get worse.
So what is the problem? Is there a bunch of groups of hackers sitting in basements all over the world living off coffee constantly trying to crack data encryption? There very well may be true–but that is far from the real, and much larger problem.
While neither condoning nor demonizing the actions of Edward Snowden (this would require a much longer narrative), there is one thing that is true beyond a reasonable doubt: the information he leaked was very real. Part of this information may shed some light onto why people all over the world are losing their financial and personal information to pirates.
One of the major revelations Mr. Snowden informed the world about is an NSA-backed program that exists with the sole purpose of seemingly subversively ensuring that data can only be encrypted to a certain extent. The NSA–whether in conjunction with major digital providers or not–has gotten into the business of actually making data easier to access, rather than protecting it.
All encryption is essentially based on algorithms that must be broken in order to obtain data. As outlined in Mr. Snowden’s report, the NSA is actually limiting both the number of algorithms that can be used, as well as the complexity of each algorithm–with the aim of have easier access to any data, anywhere, at any time. In addition to limiting algorithms, the NSA has also been installing “back doors” within the encryption of private corporations for even easier access.
The US Government has not denied any of these claims, and the private businesses themselves are saying they had no knowledge of these tactics. While this may be disturbing from an Orwellian standpoint, it presents an even larger problem for the general public. Following the “whistle-blowing” incident, many people took a liberal stance–assuming the NSA oversights would not even pertain to them, because “they have nothing to hide”.
Everyone has something to hide. If the NSA is actively installing back door encryption as well as limiting their strength, to bypass data security systems, what is to stop one of those coffee-drinking hackers from using the tools given to them to steal personal information? The proximity in time surrounding Edward Snowden’s actions and the overall increase in the amount and severity of data breaches–it is clear there is a correlation linking the NSA to the theft of sensitive information, whether directly or indirectly.
Hackers are using government created programs to steal valuable information from individuals and businesses. As I previously stated, the NSA was able to infiltrate a company like Microsoft as early as 2007, leaving the individual and business owner with a few questions: is our data ever really safe, and will it ever be?
More importantly though, how many identities and how much financial information has been stolen in the short time it took you to read these 532 words?
Companies continue to acquiring Data focused businesses
IT giant HP in 2015 acquired Voltage Security, which provides encryption and tokenization technology. The acquisition will bolster HP’s already significant security solution portfolio and add to its Atalla security business. Financial terms of the transaction were not disclosed.
Art Gilliland, senior vice president and general manager of enterprise security products at Hewlett-Packard said in a prepared remarks: “Voltage’s proven data-centric encryption and tokenization technology will complement HP Atalla, HP’s information security and encryption business, helping our customers protect their most sensitive information whether it lives in the cloud, across mobile platforms, in big data environments, or within legacy computer systems for critical regulatory compliance.”
Founded in 2002 and based in Cupertino, California, Voltage Security provides data encryption and tokenization technology that can be applied to all kinds of data regardless of where that data resides and ts nature. It covers everything from email to enterprise data to payment systems. It also targets big data, retail and financial systems. Among its customers are industry’s top retailers, payment services and financial services.
Atalla Solutions, HP’s information security and encryption business is the most likely candidate for integration. Atalla Solutions is a data security technology for enterprises that protects data across cloud, on-premises and mobile environments. HP said Voltage Security will be integrated into its Atalla Security Solutions, expanding HP’s security offerings in payment security, encryption, tokenization and enterprise key management. Voltage’s powerful security solutions are ideal match for supporting and expanding HP’s Atalla Security business in today’s security market. It also aligns with HP’s focus on end-to-end protection of data itself. Voltage’s technology will continue HP’s leadership as a highly trusted platform across industries, protecting the most sensitive information and helping companies neutralize the impact of a security breach.
Before the acquisition, Voltage has received multiple financing rounds, its last round of venture capital funding was in 2007 when it received a $12 million Series D round led by Trident Capital.
Security companies are certainly gaining too much attention from large IT companies. Last year IBM acquired cybersecurity firm Trusteer to strengthen security portfolio, Microsoft bought Aorato to boost Active Directory security, and Google picked IAM (Identity and Access Management) startup SlickLogin.