Skip to main content

What is data lake and how it works


Data-Lake:
#Data-Lake:
A data lake is a method of storing data within a system or repository, in its natural format,that facilitates the collocation of data in various schemata and structural forms, usually object blobs or files.

Traditional database theory dictates that you design the data set before entering any data. A data lake, also called an enterprise data lake or enterprise data hub. Then get all these data sources and dump them all into a big Hadoop repository, and you won’t try to design a data model beforehand. Instead, it provides tools for people to analyze the data, along with a high-level definition of what data exists in the lake. eople build the views into the data as they go along. It’s a very incremental, organic model for building a large-scale database.

As part of its Intuit Analytics Cloud, Intuit has a data lake that includes clickstream user data and enterprise and third-party data. But, the focus is on “democratizing” the tools surrounding it to enable business people to use it effectively. Hadoop is that the platform isn’t really enterprise-ready. It needs capabilities that traditional enterprise databases have had for decades — monitoring access control, encryption, securing the data and tracing the lineage of data from source to destination.

Comments

Popular posts

Blue Prism complete tutorials download now

RPA blue prsim tutorial popular resources I have given in this post. You can download quickly.Learning Blue Prism is really good option if you are learner of Robotic process automation. The RPA is also called "Robotic Process Automation"- Real advantages are you can automate any business process and you can complete the customer requests in less time.

The Books Available on Blue Prism 
Blue Prism resourcesDavid chappal PDF bookBlue Prism BlogsVideo Training
RPA training The other Skills you need
Basic business skills and Domain skills are more than enough to be successful in this automation careerScripting languages like Perl/JSON/JavaScript/VBScript.  The interesting point is learning any RPA tool is not a problem. You can learn tool quickly. The real point is how quickly you apply your knowledge to implement automated tasks is important.


Also read
Robotic RPA Software developer skills you needBlue Prism tutorials download to learn quicklyPopular RPA tools functionality differen…

Three popular RPA tools functional differences

Robotic process automation is growing area and many IT developers across the board started up-skill in this popular area. I have written this post for the benefit of Software developers who are interested in RPA also called Robotic Process Automation.

In my previous post, I have described that total 12 tools are available in the market. Out of those 3 tools are most popular. Those are Automation anywhere, BluePrism and Uipath. Many programmers asked what are the differences between these tools. I have given differences of all these three RPA tools.

BluePrismBlue Prism has taken a simple concept, replicating user activity on the desktop, and made it enterprise strength. The technology is scalable, secure, resilient, and flexible and is supported by a comprehensive methodology, operational framework and provided as packaged software.The technology is developed and deployed within a “corridor of IT governance” and has sophisticated error handling and process modelling capabilities to ensu…

HBASE hadoop database really new features to handle growing data volumes

Hbase is Java implementation of Google's Big table. The data stored in HABSE is as shown below. Which is actually two parts.
Row Key : 00001 Column  : (Column Qualifier:Version:Value)Features or key points of HBASE...
HBase data stores consist of one or more tables, which are indexed by row keys.Data is stored in rows with columns, and rows can have multiple versions.By default, data versioning for rows is implemented with time stamps.Columns are grouped into column families, which must be defined up front during table creation. Column families are stored together on disk, which is why HBase is referred to as a column-oriented data storeIn addition...
HBASE is distributed data store,which leverages a network attached cluster of low-cost commodity servers to store and persist data.HBASE architecture is littel trick to know.

Region Servers...
RegionServers are the software processes (often called daemons) you activate to store and retrieve data in HBase.

The big difference...
Main poin…