Data Lake: The Source of Data

Fishing is an outdoor activity that most humans tend to enjoy in their free time. The anticipation of catching a fish is what makes the entire process enjoyable for most fishermen. If you ask any experienced fishing master about where to begin your fishing journey as a beginner, he will always tell you that fishing in a big and bound from all sides water body will be fruitful for you compared to constant flowing waterbodies. This condition is true when it comes to data. Data that is already curated and used will give you a hard time if you go for processing it again. It's better to work from scratch in such conditions and that's where data lake comes into the picture.

About Data Lake

A data lake in general is a source where data in its purest form that is in its raw format is stored. Any type of structured, unstructured, or semi-structured data can be stored, processed and secured at any time. The size of the data doesn't have any hindrance when it comes to data lakes. A data lake is an adjustable and safe stage that empowers undertakings to consume any information from any structure at any speed — regardless of whether the information starts on-premises, in the cloud, or under nervous figuring conditions; store any sort or measure of data in full steadfastness; process information progressively or bunch mode; and examine information utilizing SQL, Python, R, or some other language, outsider information, or examination application.   

Pros and Cons of Data Lake

In the first place, Data Lake is an open organization, permitting clients to keep away from secure to an exclusive framework, for example, an information distribution center, which has become more critical in current information structures. Due to their ability to develop and take advantage of article stockpiling, information lakes are additionally very enduring and have a minimal expense. Moreover, modern investigation and AI on unstructured information are among the top key worries for organizations today. An information lake is an evident decision for information capacity as a result of its remarkable ability to retain crude information in various organizations (designed, unstructured, semi-organized), as well as different advantages expressed.

With proper execution data, the lake can unlock the following perks:

• They can empower the data science and machine learning domain
• They can centralize and consolidate your data
• We can integrate diverse data sources and format them

Along with all the benefits, data lakes come with some cons

Despite its advantages, a considerable lot of information data lakes' commitments presently can't seem to be satisfied because of an absence of significant highlights, for example, exchange support, information quality or administration consistency, and deficient execution enhancement. Subsequently, most business information lakes have declined into information swamps. 

Reliability issues, slow performances, and lack of security features are some of the cons that can sometimes leave a sour taste in data lake user's experience. As information volumes and configurations keep on ascending across numerous organizations, executing examination has developed more confounded and troublesome. Making an undertaking wide information lake has for quite some time been an objective that most organizations still can't seem to achieve. An information lake is the essential structural part of fostering data engineering (IA), which is expected for viable computerized reasoning execution. "There is no AI without IA," as has been said a few times.

Where Are Data Lakes Used in Today’s Times?

Businesses across all industries are adopting data lakes to boost revenue, save money, and decrease risk because they serve as the basis for analytics and artificial intelligence. Telecommunication sectors, media & financial sectors, and entertainment sectors are some of the fields where data lakes execution can effectively be seen. Having a good data lake setup from a reputed IT service company can work wonders in your niche in the long run.

The article has been written by Dr. Mukul Gupta, Director-Finance & Marketing, B M Infotrade Pvt. Ltd