Are data lakes a good way to manage big data?

4k views3 Upvotes11 Comments

Vice President / IT Services / Digital Workplace leader in Software, 10,001+ employees
Yes, however only if they are created and managed properly, otherwise it becomes a data warehouse
1 1 Reply
VP of IT in Software, Self-employed

Please elaborate on recommended techniques or practices for this type of governance and controls.

CIO & Digital Transformation Advisor - Independent Consultant in Software, 2 - 10 employees
It depends. It one has sources of data from multiple sources in various different formats and structures, datalake could be one of the key solutions to ensure seamless handling of such data types, process them, and fulfill the goals of data management and data intelligence.
ISSO and Director of the IRU in Healthcare and Biotech, 10,001+ employees
We have data warehouses currently and it is one of our biggest initiatives to change to data lakes. It really is dependent on how much data you have and that your managing. Data Lakes are a more agile environment and can manage a store big data. We need that for our data scientist.
CIO in Consumer Goods, 11 - 50 employees
Yes if executed under well thought approach and strategy.
Director of Technology in Government, 501 - 1,000 employees
Data Lakes can be very beneficial for entities that need to increase operational efficiencies and innovation but if there is no oversight or no purpose of the contents then it can create increased compute costs, complexity  and data integrity loss.
5 1 Reply
Chief Information Officer in Software, 11 - 50 employees

Agreed. Must have a viable and flexible  architecture and plan around short, mid, and long term operations and growth, coupled with the various types, categorization, and cross functional operations on the data collection, persistence, access, and retention process. 


Vice President - Global Head of Emerging Technologies & Digital Innovation, Self-employed
The data lake is just a beginning towards modern data management. The important thing is how you curate your lake, making it apt for data analysis. Every modern data management initiatives need to fulfill the demand from three sections of users - Data Analyst, Data Scientist, and Business users. The objective is to make the data usable and available with proper segmentation and security.
CISO in Software, 10,001+ employees
Data lakes are critical for XDR and SIEM to perform current and historical correlation and analysis.
Director of IT in Software, 201 - 500 employees
Depends on the size of data, source of data and format. Data lakes are great for a large volume of unstructured data, coming from multiple sources and with various formats. It can ingest a large amount of data quickly and can quickly adjust to the data generation stream. If you have such a use case, then Data Lake will be a good option for you. Now the important thing here is that Data Lake just aggregate large amounts of data from multiple sources and it’s a cost-effective repository, but it does not give any intelligence natively from the data, you need to apply data science to get something useful out of it.
vp information technology in Consumer Goods, 51 - 200 employees
a principle of innovation is to avoid the next logical step. that is incrementalism. i think we should avoid data lakes or other designs that create yet another copy of data and another way to spend money on storing data. we should look to leverage AI snd ML to use data in place, place only the data needed, where it is needed when it is needed. consider ALL the data at all sites a global data environment that you can use and analyze without making copies.

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CTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.
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No, but we have informal data analytics stewards38%

No, and we do not have data analytics stewards20%

Not sure1%