Here is an increasing demand for NoSQL database experts, especially those highly trained on Hadoop & MongoDB. This is mainly due to the fact that NoSQL databases are replacing traditional RDBMs as NoSQL databases like It offers the flexibility to organize data in a way that makes the data usable.
This along with the proverbial explosion of data from various digital medias has forced organizations to look for alternatives to match the colossal speed of Big Data.
NoSQL databases are adept at handling Big Data using document structures for storing data in loosely defined objects, making it a best choice for handling Big Data challenges. As a result, MongoDB has now become one of the leading NoSQL database solution.
Let us look at the various reasons that make MongoDB a lucrative option for your career.
Huge Demand for MongoDB Skills:
MongoDB is fast becoming an industry trend and is gaining popularity for its powerful query language and its easy transition from a relational database to NoSQL database. With increasing implementation of Big Data and its technologies, it is a natural progression for the organizations to look for MongoDB skills.
According to a report by Allied Market Research, the growing awareness of the benefits of NoSQL over RDBMS has resulted in increased demand for MongoDB skills, especially in sectors like, social networks, retail and e-commerce.
The global NoSQL market is predicted to reach $4.2 billion by the end of 2020, growing at 35.1% CAGR between 2014 and 2020.
The adoption of NoSQL over SQL database is largely driven by trends such as integration among different NoSQL technologies and between SQL and NoSQL database and the increasing demand for Cloud Computing technology, which are dominating the IT market. More info at MongoDB Online Training
What are the other capacities that MongoDB intends to include in its architecture?
Predictions say that they will focus on the analytical performance by adopting a Spark connector that could handle bulky analytics. There is also possibility of columnar data-store while the option for streaming data through engine is always available.
The ancestor to MongoDB’s business is still the open-core model. However, it has become a much complicated and intricate collection of value-added add-ons that can only be accessed through subscription. These features include management console, extra in-memory and encrypted storage engines, BI connectivity, DBA tools and authentication with access-control options.
Currently, the targeted evolutionary step is of bringing in the cloud database business. While companies could always mount MongoDB on cloud infrastructures like Google Cloud Platform, AWS or Azure, it had to be managed on one’s own.
One could also pick up a third-party MongoDB DBaaS (DataBase-as-a-Service). Now, MongoDB is starting to launch its own DBaas called Atlas that would face competitive prices. Its features include wider replication, availability of updated versions and disaster recovering solutions.
The expansion of database is not a MongoDB-confined move. The entire database market is witnessing a move towards addition of extensions onto platforms. For instance, giants like DB2, Teradata, Oracle and SQL Server are introducing in-memory, columnar, geospatial and graph capacities. For more info MongoDB Training
Such powers are introduced through extension of query language or by graft of new storage engines. In response to the quietly increasing list of features taken up by the opponents (like Hadoop and NoSQL army), MongoDB can be prophesized to launch data-protection options (like access control at level of field).
MongoDB is well known for its ability to interpret and manipulate complex data. Currently, it is focused on new workloads (like live/operational workloads).
MongoDB is thus gradually undergoing evolution but it should remember the breeding ground of its birth: the developer-oriented platform for managing apps that need the capacity to handle the complex document-style data.
Works Well With Hadoop:
As Big Data is becoming bigger, enterprise are increasingly relying on Hadoop and prominent NoSQL databases. A recent survey conducted by Dice estimates that salaries for employees who use Hadoop and NoSQL are more than $100,000.
Meaning that the combination of these skills are the most sought after by leading organizations in the field of Big Data. More than One third of the Fortune 100 companies are harnessing the power of Hadoop & MongoDB together to create complete Big Data applications:
Many organizations are harnessing the power of Hadoop & MongoDB together to create complete Big Data applications:
- MongoDB powers the online, real-time operational application, serving business processes and end-users
- Hadoop consumes data from MongoDB, blending it with data from other sources for sophisticated analytics and Machine Learning. The result is then loaded back to MongoDB to serve smarter operational processes.
MongoDB is a Go-to Choice for Many Organizations:
Among the Fortune 500 and Global 500 companies, MongoDB is already serving 10 of the top financial services institutions, electronics companies, media and entertainment companies, retailers, etc.
Here is the list of other sectors looking for MongoDB skills:
- Retail
- Online gaming
- IT
- Social network development
- Web applications management
- Others
- Government
- BFSI
- Healthcare
- Education
To get in-depth knowledge, enroll for a live free demo on MongoDB Certification
MongoDB Programming 