Data is regarded as the oil of the present economy. Hence, the more you can fetch it, the better it is for your business. Just like having too much oil never hurts, the same is applicable for data as well. A lot of hype is going around over the last few years regarding data lakes. In accordance with TechTarget, the data lake contributes to being the storage repository which is capable of holding a wide assortment of raw data in the native format until you need it.
One of the primary reasons for such kind of hype is that you can avail Data Lake at a reduced cut off from the pocket, in comparison to the enterprise DW. Thus, on an abstract level, the primary idea includes the stock lining of the data after which you should be finding a specific use for it in future.
In case you are planning to implement data lake strategy, at present, it is recommended to give consideration to the below mentioned six reasons:
There is an exponential rise in the total amount of data
The digital universe is growing twice in size in each two years. Thus, the total count of data which is created as well as copied annually is going to hit almost forty-four gigabytes by the end of the year 2020. It is almost ten times the data; it was in the year of 2014. It contributes to being the reason for the creation of larger repositories as the unstructured and structured data should be run against different cost limitations.
If this is not the case, the sheer heft of the rising data loads will introduce a challenge for different business firms which are still trying to figure out how to make the best use of the already existing data.
Also Read: Data Warehousing – Traditional vs Cloud!
There is an increase in the chances of presence of bad data
With the upcoming of GDPR, business organizations will require making a payment of 4-5% of total annual revenues to hold the data which was received without the consent of the consumers. For the specific business organization which has already developed the data lake solutions, the GDPR compliance can turn out to be a major trouble.
As Facebook data scandal gives rise to serious concerns globally, it is estimated that in no time, the power for the controlling of data will be transferred to the consumers from the enterprise globally. GDPR is considered to be the very first of a wide assortment of compliance laws of future. Keeping the present scenario in mind, data lakes without any kind of clear strategy can turn out to be a major headache in the future.
Security is known to be afterthought often
The data, present in the data lake may not have the sufficient standard security protection along with the database of the organization or the relational database management system. As the business firms are in the rush to be agile, different companies can give access, based on the internet to data lakes to the reliable managers of the business.
It is an indication that the data, present, is unencrypted and does not consist of access control. Several instances of inappropriate access to the data are present in the public domain which has resulted in significant damage to the revenue of the business organization as well as their reputation.
A higher level of expertise is essential to make sense of the data
Absence of governed metadata and semantic consistency indicates that only specialized trained experts will be capable of reconciling the data. Thus, the average business organization might find it challenging to find people who have high skills in different data flow technologies such as Flume and Spark. Beyond this technology expertise, the data science may be expert along with an ample experience across different industries which might turn out to be crucial to create algorithms as well as data models, which will confer a plethora of actionable insights.
Lack of controlling quality may transform the data lake into the data swamp
The primary objective of data lakes is that in case you collect and store huge volume of data, you will gain success in collecting different insights, related and relevant to business. Considering this scenario includes the ignoring of the old computing maxim of the garbage in and garbage out. It turns out to be a traditional data issue which may lead to magnified multifold in the scenario of big data. As data lakes are created, they involve the additional complexity of the unstructured data, which leads to the creation of major issues of the unusable data.
The technology landscape has become really confusing
As you conduct a simple search on different data lake products on Google, you are going to find more than a million hits. From the well renowned and reputed corporate giants such as Amazon, Google, Microsoft, IBM, start ups and medium scale industries, each individual has a significant data lake to offer. In addition to this, you can also give consideration to the technology stack.
A wide array of users may consider Hadoop as well as the different versions of the same or even they can give consideration to the different custom stacks from the leading corporate giants. Identification of the infrastructure which is required for the Data Lake, in-house or cloud may add another specific dimension to the journey.
Running as well as management of Data Lake on the ongoing basis is considered to be another crucial decision. Hence, it is essential to opt for an efficient data lake technology strategy as well as identify the right set of experts and partners prior to moving on the same path.
Of course, there are certain valid reasons owing to which people are skeptical about the data lakes. However, you need to keep in mind that the technology of Data Lake is neutral itself. You should remember that the data lakes are considered to be an immense resource for a wide assortment of business organizations. However, you should take care of the marketing pitch of the technology. Data lakes are certainly not an exception here. If you’re making any drastic changes or improvements at your product or software, doesn’t it make sense to go with a company like Indium Software - Leading Data Lake Solution Provider.
Thanks and Regards,
Gracesophia