How much more can your company profit from a data lake?

A data lake is a centralized, highly scalable repository that stores large volumes of data in different formats.

And your company can profit from a data lake by extracting valuable insights from these large volumes of data to take advantage of all the business opportunities.

With a DL, you can significantly improve your organization's data operation and gain an integrated and comprehensive view.

Count on Indicium for your company's digital transformation . Happy reading!

What is a data lake?

‍Data lake is a storage infrastructure that allows large volumes of data to be collected and processed in their original form.

The main objective is to allow organizations to store everything economically, without worrying about the structure of that data when it is stored.

A data lake is designed to hold data of different structures and formats, including structured, semi-structured and unstructured data.

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The ability to store all these types of data in a single repository gives companies a more comprehensive and integrated view of their information for strategic decision-making.

Will your company profit from a data lake?

Your company can profit from a data lake by extracting valuable insights from these large volumes of data to take advantage of every business opportunity.

Comprehensive data analysis is extremely important for the success and sustainability of modern organizations.

It provides a detailed view of the operating environment, facilitating informed decision-making, driving innovation and allowing you to stand out in a competitive landscape.

Therefore, the implementation of a data lake is crucial for companies that suffer from the complexity of large volumes of data, which leads to loss of revenue.

And with storage in a data lake, your organization can enjoy benefits such as:

• scalability
• flexibility
• advanced analysis
• low cost
• vision for the future

In other words, a company that has a data lake can expect to improve its ability to manage, analyze and extract value from its data.

It also saves a lot of time and effort that would otherwise be spent processing, structuring and organizing the large volume of information.

Does your company need a data lake or a data warehouse?

This decision between data lake and data warehouse depends on your company's specific needs in terms of data management, analysis and use.

Unlike a traditional data warehouse, which usually stores structured data in organized tables and databases, a data lake is designed to deal with data diversity.

But to know which of these repositories is best suited to your business, you need to consider factors such as:

- diversity and volumes of data

Data lake: if your company deals with a wide variety of data, including raw, semi-structured or unstructured data, a data lake may be more appropriate.

Data warehouse: if most of your data is structured and you need a solution for analyzing historical data, reports and complex queries, a data warehouse may be more suitable.

- analytical objectives

Data lake: if your analyses need to be more advanced and you have to deal with raw, unprocessed data, a data lake may be more appropriate to support these objectives.

Data warehouse: if the main focus is on analyzing historical data for business reports and trend analysis, a data warehouse may be more suitable.

- integration with analytical tools

Data lake: if your company plans to integrate modern analytical tools, such as machine learning tools, a data lake can be more flexible in this respect.

Data warehouse: if integration with traditional business intelligence tools and the execution of SQL queries queries are priorities, a data warehouse may be more compatible with these needs.

In some cases, a hybrid approach combining data lake and data warehouse elements may be more appropriate, providing both flexibility and optimized performance for specific queries.

When making a decision, it's best to have someone with experience on your side who can help you understand your company's real needs.

Count on Indicium, which is a data company in New York and Brazil.

How do I start using a data lake?

It is important to ensure effective data lake governance in order to maintain data quality and security.

The process of implementing a data lake can be challenging for your company's digital transformation.

You need to pay attention:

1. define your organization's objectives and requirements;
2. evaluate the existing infrastructure;
3. choosing the right technology;
4. develop a data governance strategy;
5. designing the data lake architecture;
6. implement the infrastructure;
7. ingest data;
8. train the team;
9. optimize according to feedback;
10. monitor and continue to optimize.

Sounds like a lot, doesn't it?

Investing in a data lake not only provides operational efficiency, it also offers a solid basis for strategies that will benefit from more informed decision-making based on these large volumes of data.

That's why it's so important to have a specialized partner.

We can assess exactly what your company needs in its data operation to overcome all business challenges.

Click here and talk to Indicium.