#datalakesolutions

A data lake is regarded as the centralized repository by which it is possible to store unstructured and structured data at different scales. It is possible to store the data without the requirement to structuring the data. It also helps in running various kinds of analytics, which range from visualization to dashboard, to the processing of big data, machine learning, and real time analytics, for the guidance of better and effective decisions.

Benefits of data lake solution

Business firms which are known to fetch the business value from the data are going to beat the competitive edge. Studies reveal the fact that implementation of data lake can lead to a better growth in the organic revenue. 

The leaders are capable of doing latest kinds of analytics such as machine learning over different sources such as data from social media, click streams, long files, as well as internet connected devices which are known to be stored in the data lake. 

It plays a vital role in the identification and implementation of opportunities which facilitate better and faster growth of the business by providing a boost to the productivity of the business, retaining the users, maintaining of the devices. It also plays a vital role in making informed decisions for the business.

Round the clock availability of data

With the aid of data lake solution, it is possible to ensure that the employees, regardless of their designation is capable of getting access to the data. It is referred to as data democratization. 

Take an example where at present, only the upper management in the organization is authorized to collect different kinds of data for seeking an understanding of the things, prior to taking any kind of vital decision. With the aid of Data Lake, it is possible to make the necessary data available to different levels of the employees, regardless of their designation or level. 

In case you are a member of the admin department, you will have every access to the admin data, related to the unused stationery, and used stationery, to name a few. In addition to this, you can get access to the data, which you intend to ignore. Data Lake boasts of an immense processing power which is useful to the business organization in fetching top quality of data.

Decision analysis in real time

Data lake solutions have earned a high reputation in reaping the benefits of larger quantity of consistent data along with deep learning algorithm for the arrival at the real time decision analytics.

Support to SQL as well as other different languages

Conventional data warehouse technologies bestow support to the SQL which is ideal for analytics. You require more alternatives for the analysis of data in the advanced use cases. Big Data Lake provides different options along with language support for the objective of analysis. It also comes with Hawk/Impala/Hive which bestows support to SQL.

In addition to this, it is equipped with specific features which are useful in taking different kinds of advance requirements. Say, for example, you possess PIG for the purpose of machine learning for the analysis of data flow and you can make use of Spark MLlib.

Versatile

A data lake is capable of storing both unstructured and structured data from a wide assortment of resources. Also, it is capable of storing multimedia, logs, XML, chat, sensor data, binary, social data as well as people data.

Scalable

Data lakes play a vital role in providing scalability which involve a reduced cut off from the pocket.

Also Read: Data Warehousing – Traditional vs Cloud!

Schema flexibility

For the traditional schema, it is a prerequisite to have data in the structured format. The traditional products, present in the data warehouse is known to be schema based. For analytics, it can be a glitch as the data should be analyzed in the raw form. 

With the aid of Hadoop Data Lake, it is possible to be schema free. You can also come up with a plethora of schemas for similar data. Thus, it short, it is useful in the separation of schema from the data which is certainly a good option for the analytics.

Resolving traditional challenges of warehouse

At present, the users of business depend on content repositories as well as diverse applications for bestowing support to their daily work as well as strategic goals. This results in higher demand, more effective and faster access to data, as well as analytics at the fingertips of the end users.

However, complicated database skills are required for Business Intelligence applications and traditional data warehouses for getting access to the data. Several days or hours may be consumed for the retrieval of data which are required for the analysis from the administrators of the data warehouse. Beside this, the proprietary data warehouses are useful in bringing a reduction in the flexibility and scalability.

High Performing data lake solution

Data Lake is considered to be the repository of the enterprise wide raw data. It is also combined with big data as well as other search engines. Data Lake is known to bring together data from different resources owing to which it becomes searchable. It helps in maximizing the analytics, discovery and reporting of different capabilities for the end users.

Data lake solutions have earned a high reputation for the data richness. Thus, it is capable of storing as well as processing unstructured and structured data from different types, multiple sources, which are inclusive of JSON, text, XML, video, image, and audio. 

Search is regarded as a universal tool to find information. Thus, it is likely that end users can receive the specific data, which they were looking for in no time with the aid of search engine, without any kind of SQL language.

In addition to this, open source is known to have zero licensing costs which help the system in scaling with the growth of the data. Data Lake works in conjugation with the data warehouse for ensuring an integrated data strategy. Data lake solutions work for implementation of the most effective business strategies which help in enhancing the bottom line of the business. 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 Warehouse Solution Provider.

Thanks and Regards,

Data lake solutions are often compared to data warehouse solutions but there’s a huge difference between the two of them. More and more organizations are becoming aware of the difference between the two, and hence implementing them as per the needs of an organization. Data lake solutions provides data storage facilities that are extremely easy to configure by the data scientists, hence they are highly agile.