Data Lake
A Data Lake is a collection of raw data that is structured, semi-structured, or unstructured from any type of source. The raw nature of the data requires the skills of data engineers and data scientists.
![](https://datahead.solutions/media/interactive-datalake.png)
What is the Difference Between a Data Lake and a Data Warehouse?
Both a data warehouse and data lake store your data, but the main difference is when that data is organized and analyzed. Raw and unstructured data goes into a data lake, and then data can be selected and organized as needed. A data warehouse processes the information and organizes it into a single schema before it is stored. Then, when data is pulled, the analysis is done on the cleansed data in the warehouse.
What are the benefits?
- Complete access to all of your data
- View, slice-and-dice, export, modify, and import your database
- Create custom reports, applications, dashboards, or data visualizations
- Combine data with any other ODBC compliant data sources such as SQL, Excel, MySQL, Oracle, etc.
Call (630) 631-6153 to get in touch with Data Head Solutions® to talk about all your data movement needs!
Your Selected Data Sources Are In the Lake
![](https://datahead.solutions/media/icon-adp.png)
ADP
![](https://datahead.solutions/media/icon-access.png)
Microsoft Access
![](https://datahead.solutions/media/icon-box.png)
Box
![](https://datahead.solutions/media/icon-excel.png)
Microsoft Excel
![](https://datahead.solutions/media/icon-ganalytics.png)
Google Analytics
![](https://datahead.solutions/media/icon-quickbooks.png)
Quickbooks
![](https://datahead.solutions/media/quickbookspos.png)
Quickbooks POS
![](https://datahead.solutions/media/icon-salesforce.png)
Salesforce
![](https://datahead.solutions/media/icon-smartsheet.png)
SmartSheet
![](https://datahead.solutions/media/icon-shopify.png)
Shopify
![](https://datahead.solutions/media/icon-tsheets.png)
TSheets
![](https://datahead.solutions/media/icon-twitter.png)
Twitter