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: 7 Key Benefits of Proper Data Lake Ingestion
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > 7 Key Benefits of Proper Data Lake Ingestion
AnalyticsBig Data

7 Key Benefits of Proper Data Lake Ingestion

Rehan Ijaz
Rehan Ijaz
6 Min Read
data lakes importance
Shutterstock Licensed Photo - By Stuart Miles
SHARE

It’s impossible to deny the importance of data in several industries, but that data can get overwhelming if it isn’t properly managed. The problem is that managing and extracting valuable insights from all this data needs exceptional data collecting, which makes data ingestion vital. The following will highlight seven key benefits of proper ingestion.

Contents
1. Proper Scalability2. Covering Data Types3. Capturing High-Velocity Data4. Sanitizing Data5. Data Analytics Simplified6. Stores in Raw Format7. Uses Powerful Algorithms

1. Proper Scalability

Perhaps one of the biggest perks is scalability, which simply means that with good data lake ingestion a small business can begin to handle bigger data numbers. The reality is businesses that are collecting data will likely be doing so on several levels. Data is being collected through third parties, partners, social media accounts, and other sources. Having proper scalability capabilities means you’ll be able to handle the spikes in data.

2. Covering Data Types

Having the ability to ingest data from several sources is one thing, and that’s important, but your company must also be able to collect different types of data. You’d be surprised how many forms of data there are, such as logs, XML, sensor data, social data and data from chats. All of this information needs to be collected accurately, and that can be done with quality data ingestion. Choosing poorly could end up causing you to ingest data incorrectly, and that’ll create delays and potential losses that no one wants.

3. Capturing High-Velocity Data

There’s a lot of ways to store data once it’s captured, but one of the most popular ways has to be data warehousing systems. The problem with that specific type of data storing method is that this system isn’t too good at capturing high-velocity data. Today’s businesses are capturing this type of data all the time, usually from social media accounts where data is uploaded at lightning speeds. Having a tool like data lake could help capture this type of data much more efficiently, making sure you don’t miss a thing. Data lake uses things like Kafka and Scribe to be able to collect data at these speeds without suffering from machine exhaust.

More Read

use of big data in small businesses
5 Ways To Use Big Data For Small Businesses
SAP’s Social Layer: Making Collaboration Real
How the Next Generation of Databases Could Solve Your Problems
6 Tips for Using Data Analytics for Product Page SEO
The Unlikely Marriage of Cloud Computing and Multi-Level Marketing

4. Sanitizing Data

Once the information is ingested, the data has to be sanitized. This is pretty complex, but good data ingestion must ensure that this process happens flawlessly. What happens is that all data ingested is going to be cleaned, so duplication issues and manipulations should be eliminated. The process can be tweaked if you introduce scripts or by having a data expert help create more effective sanitizing processes. No matter how hard you try, small mistakes are going to be made with data collection, but you’re addressing that issue now.

5. Data Analytics Simplified

Part of the reason you would even need a process tool to help you collect and sanitize this amount of data is so that your data analyzers can help decipher all of the information being collected. It’s here where data exploration and insight extraction beings to take place. The information could be used to highlight your company’s overall standing, or maybe it could reveal issues your company is facing. Once the insights are clear, a business owner can create plans to improve the company to continue having an edge over competitors.

6. Stores in Raw Format

Once the information is processed and analyzed, you would imagine that the data would have to be stored in some pre modeled form. This is no longer something you have to worry about because data lakes are not like a warehouse. Being able to store all the data in its raw form helps ensure you have access to it later on without jumping through hoops. Of course, at this point, data is going to be properly tagged and organized for easy access, but being able to keep everything as is makes data lakes pretty powerful. Your business analysts could ask much more complex questions about the data collected long after that initial analysis.

7. Uses Powerful Algorithms

Your business analysts won’t be doing all this work on their own. A good perk to point out about data lakes is that they can use powerful algorithms to help your analysts comprehend the gathered data. The categories, the tags, patterns, and much more could all be recognized by deep learning algorithms, which is part of the reason why data ingestion is so effective. Part of the reason data is so easily simplified in this environment is that you’ll be using algorithms to get a lot of the work done.

Hopefully, some of this information helps you understand why data lake ingestion is vital and why it needs to be considered. It’s just the next step in data exploration, and there’s no telling what else is possible.

Share This Article
Facebook Pinterest LinkedIn
Share
ByRehan Ijaz
Follow:
Rehan is an entrepreneur, business graduate, content strategist and editor overseeing contributed content at BigdataShowcase. He is passionate about writing stuff for startups. His areas of interest include digital business strategy and strategic decision making.

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

Revenge of the Nerds

4 Min Read

Predictive Analytics, an Historical Perspective: Interview with…

1 Min Read
big data use digital marketing
Big DataBusiness IntelligenceMarketing

An API Bridge Between Big Data And Digital Marketing

10 Min Read
Image
Big DataMarketing

How Big Data Is Shaping the Future of Email Marketing

5 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
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?