Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: How to Ensure Data Lakes Success
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > How to Ensure Data Lakes Success
Big Data

How to Ensure Data Lakes Success

alleliaspili
alleliaspili
5 Min Read
Image
SHARE

ImageIn terms of today’s enterprise data management services, a shift is now happening from the traditionally popular data warehouses to the less structured data lakes. Although there are skeptics against data lakes, many also believe that unlike data warehouses, it enables businesses to have a more unlimited view of data.

ImageIn terms of today’s enterprise data management services, a shift is now happening from the traditionally popular data warehouses to the less structured data lakes. Although there are skeptics against data lakes, many also believe that unlike data warehouses, it enables businesses to have a more unlimited view of data.

Data lakes are defined as “a massive, easily accessible, centralized repository of large volumes of structured and unstructured data”. Whereas data warehouses store data from various sources in specific static structures and categories, data lakes do not classify data when they are stored.

However, just having a data lake is not enough. A successful one must be able to provide real-time response to queries and give users an easy and uniform access interface. To ensure your data lake’s success, we have compiled a list of tips shared by data management experts.

More Read

Interesing debate on business process and decisions
How Business Analytics Can Lead to That ‘Aha’ Moment
by 2025, buildings will use more energy than any other category…
Will AI Replace Personal Trainers? A Data-Driven Look at the Future of Fitness Careers
Could book lovers finally be willing to switch from pages to…

Identify Use Cases 

In his article on InfoWorld, Strategic Developer Andrew Oliver suggests that businesses must have some use cases in mind before constructing a data lake. He says they can either be existing ones or any case that your business wants to do but couldn’t. 

Work with Data Scientists

Oliver likewise suggests that businesses work with data scientists. Data scientists and engineers provide the necessary expertise required to make the data lake a successful data and analytics tool. Businesses may choose to work with data management firms. Oliver points out, however, that there is no unicorn data scientist. Instead, the key is in hiring “technically adept facilitators”.

Use of Multiple Tools and Products

Knowledgent, suggests the next five characteristics they believe are necessary for a successful data lake and the first one involves customizing it based on multiple technology stacks. This is because there is no single open-source platform available right now that can extract maximum value out of the data lake.

Domain Specification

Data lakes must be industry-specific to cater to the industry’s unique needs. Make sure that IT intervention is not necessary to enable users to obtain data when they need it. A user interface that allows keyword, faceted and graphical search is likewise necessary.

Automated Metadata Management

Knowledgent states that “without a high-degree of automated and mandatory metadata management, a Data Lake will rapidly become a Data Swamp” and that “attributes like data lineage, data quality, and usage history are vital to usability”.

Configurable Ingestion Workflows

New sources of external information will continuously be available. Make sure to have an easy, secure and trackable content ingestion workflow mechanism that can rapidly add these new information into the data lake.

Integrate with the Existing Environment

A lot of businesses already have existing enterprise data management systems. The data lake must be able to support this and be well integrated into it to avoid replacing or ripping apart the existing environment. 

Optimized Scalable Multi-Protocol Storage 

Senior Consultant and Technologist Ed Walsh says in his article that enterprise data lakes have three critical storage requirements. First, they must be scalable to enable the business to expand capacity as needed and prevent service interruptions. Second, they must be optimized for low cost per gigabyte. Lastly, they must have multiple storage protocols to allow for simultaneous access.

These are the characteristics that data lakes must have to ensure its success. Data lakes can be an effective and successful data management solution for businesses provided that they allow users to analyze an extensive array and volume of data when and how they want it. The key is to design and implement one that is tailored specifically to address business needs.

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

big data analytics in transporation
Turning Data Into Decisions: How Analytics Improves Transportation Strategy
Analytics Big Data Exclusive
AI and fund manager software
AI And The Acceleration Of Information Flows From Fund Managers To Investors
Artificial Intelligence Exclusive
sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Big Data Symposium from TDWI – October 3rd in NYC

7 Min Read

Why Does Data Decay so Fast?

6 Min Read

Predictive modeling and today’s growing data challenges

5 Min Read

The NSA’s Data Quality Problem

2 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?