Are you confused as to whether you should adopt a Data Lake: Here are the 5 Best Practices that actually Work

In the past, business firms used to turn to the data warehouses for the processing, storage and management of collected data. However, with the advent of big data, there was a strain on these systems. They were pushed to a capacity which in turn adds to the storage costs. Thus, few companies have begun transferring the data into a specific kind of repository, referred to as Data Lake.

The structure of Data Lake offers several benefits over various kinds of data repositories like the data mart or data warehouse owing to its capabilities for storing any kind of data, unstructured, structured, external or internal. Owing to the enhanced flexibility and absence of structure within the data lake, making changes in the queries and models of the repository, re-configuring the structure, following the requirements of the changing business is really easy.

Apart from the structural benefits, Data Lake is capable of bringing an improvement in the data democratization and accessibility. Though data scientists are considered to be the primary users of the data lakes, the presence of repositories offers faster and effective extraction of insights from the data of the enterprise. Such kind of accessibility provides a boost to the iterative exploration, thereby making the data the right contender to find answers to several issues which are less structured and need flexible solutions.

Now that you have understood that Data lake solutions is the right choice for your business, here is a list of the best practices of Data Lake which actually work. This write-up focuses on the best practices to set the data lake and how the make the best use of data integration tools for ensuring the long term success:

Getting started with the data lake

For creating a data lake which bestows support to the objectives of your business, it is a prerequisite to find answers to questions which will be identifying the requirements of your business. Few of these questions include whether the data is secure and accurate, what kind of data, you are having, etc.

Apart from understanding the state of the data, it is also a prerequisite to give consideration to who will get access to the data, how they will get the data, the advantages of data lake for making the data really accessible.

As the assessments of such factors are completed and you have found the right data management strategy, you can develop a data repository which will bestow support to your latest requirements as well as scale for accomplishing the requirements of the future data storage. With the increase in data lake as well as management solutions, you might feel like buying a tool and complete the work in no time. However, for the establishment of successful storage and management system, it is recommended to adopt the below mentioned best practices

Scaling for the data volume of tomorrow

A vast amount of data is available and it tends to grow by every passing day. You require giving consideration to how the data lake will be handling the latest and future data projects. It indicates ensuring that you have adequate processes and developers in place for the cleansing, management and governing a plethora of new data sources mostly efficiently without burning a hole in the pocket and without causing any negative impact on the performance.

Also Read: Data Warehousing – Traditional vs Cloud!

Concentrate on the outcomes of the business

You will not be capable of transforming the enterprise if you fail to understand what is crucial to the business. Understanding the core initiatives of the business firm is recognized to be the key to identify the use cases, the questions, data, analytics, underlying technology and architecture requirements for the data lake.

Expansion of the data team

The quality of data is becoming an integral part of the company wide strategy which is known to involve different people from various departments, instead of the IT team. As bad data has an effect on the business analysts, it makes sense to involve the users of the business in the process of data quality. Also, the business analysts will have the prerequisite skills and knowledge for selecting the right data, catering to the requirements of the business and offering them self service access, ensuring that the data lake is fulfilling few of the integral objectives.

Future proofing the infrastructure

The requirements of the business are changing constantly. Hence, the data lake will require running on other platforms. As various teams present within the business firm make use of various cloud providers, following the resources and preferences, the majority of the business organization function in the multi-cloud infrastructure. If your business firm has the same case, you will require ensuring that the data infrastructure will be handling the same by choosing a flexible strategy by which it is possible to maintain the agility with the change in the technology choices. The data vault methodology which offers the flexibility for on boarding different kinds of data is considered to be a sound approach.

Developing a data governance strategy

You do not require waiting till the development of Data Lake for ensuring the quality of data. You can have a perfect data governance strategy which is useful in ensuring the common and consistent responsibilities and processes. You require starting by the identification of different business drivers for the data which require careful controlling, and the benefits you can reap from the effort. Such a strategy is considered to be the basis for the data governance framework.

A data integration tool plays a vital role in overcoming the majority of the challenges, you can encounter. As you opt for the solution, you need to pick one which bestows support to each step of the management of enterprise data, starting from the ingestion of the data to the sharing of data. A data management tool plays a vital role in processing real time data and batch in any speed. They can connect to the unlimited data resources, thereby letting you add new sources at ease. 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

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