In this session you will learn what is MongoDB? How MongoDB is changing the business of Big Data.MongoDB is an open-source document database that provides high performance, high availability, and automatic scaling.MongoDB stores data in flexible, JSON-like documents, meaning fields can vary from document to document and data structure can be changed over time.MongoDB is a document oriented database. It is an open source product, developed and supported by a company named 10gen.
MongoDB’s document model is simple for developers to learn and use, while still providing all the capabilities needed to meet the most complex requirements at any scale. We provide drivers for 10+ languages, and the community has built dozens more.
How MongoDB is changing the Business of Big Data?
Modern data is vast, unstructured, and sometimes unwieldy. It’s big and complicated, and we have big expectations for what it can do—and trying to store, process, and analyze all of it has led to the development of NoSQL databases.
The leading NoSQL database, MongoDB, has come out ahead in the field for a few reasons. It’s the database component used in the MEAN software stack, it’s open-source, and it’s cross-platform compatible. It also has some impressive built-in features that make it an excellent choice for businesses that need fast, flexible access to their data, whether it’s to make real-time, on-the-fly decisions, or to create tailored, data-driven experiences for users. It’s not just limited to the MEAN stack, either—it’s compatible with .NET applications, the Java platform, and more. It’s been used by organizations like Metlife, ADP, The Weather Channel, Bosch, and Expedia.
MongoDB is able to meet new data challenges that are difficult (if not impossible) to accomplish well with relational databases. MongoDB enables you to:
1. Store large volumes of data that often have little to no structure. Relational databases store structured data like a phonebook. But for growing, unstructured data—for example, a customer’s preferences, location, past purchases, and Facebook likes—a NoSQL database sets no limits, and allows you to add different types of data as your needs change. Because MongoDB is flexible and document-based, you can store these JSON-like binary data points (referred to as BSON) in one place without having to define what “types” of data those are in advance.
2. Make the most of cloud computing and storage. Cloud-based storage is an excellent cost-saving solution, but requires data to be easily spread across multiple servers to scale up. MongoDB can load a high volume of data and give you lots of flexibility and availability in a cloud-based environment, with built-in sharding solutions that make it easy to partition and spread out data across multiple servers.
3. Develop and release quickly. If you’re developing within two-week Agile sprints, cranking out quick iterations, or needing to make frequent updates to the data structure without a lot of downtime between versions, modifying a relational database will slow you down. With MongoDB’s dynamic schemas, you can try new things, and fast. Your data doesn’t need to be prepped ahead of time, and your team can incorporate anything new, quickly, and at a lower cost.
4. Scale database architecture efficiently and inexpensively. With MongoDB, it’s easy to spread data out across commodity hardware on-site or in the cloud without needing additional software.
MongoDB’s document model is simple for developers to learn and use, while still providing all the capabilities needed to meet the most complex requirements at any scale. We provide drivers for 10+ languages, and the community has built dozens more.
How MongoDB is changing the Business of Big Data?
Modern data is vast, unstructured, and sometimes unwieldy. It’s big and complicated, and we have big expectations for what it can do—and trying to store, process, and analyze all of it has led to the development of NoSQL databases.
The leading NoSQL database, MongoDB, has come out ahead in the field for a few reasons. It’s the database component used in the MEAN software stack, it’s open-source, and it’s cross-platform compatible. It also has some impressive built-in features that make it an excellent choice for businesses that need fast, flexible access to their data, whether it’s to make real-time, on-the-fly decisions, or to create tailored, data-driven experiences for users. It’s not just limited to the MEAN stack, either—it’s compatible with .NET applications, the Java platform, and more. It’s been used by organizations like Metlife, ADP, The Weather Channel, Bosch, and Expedia.
MongoDB is able to meet new data challenges that are difficult (if not impossible) to accomplish well with relational databases. MongoDB enables you to:
1. Store large volumes of data that often have little to no structure. Relational databases store structured data like a phonebook. But for growing, unstructured data—for example, a customer’s preferences, location, past purchases, and Facebook likes—a NoSQL database sets no limits, and allows you to add different types of data as your needs change. Because MongoDB is flexible and document-based, you can store these JSON-like binary data points (referred to as BSON) in one place without having to define what “types” of data those are in advance.
2. Make the most of cloud computing and storage. Cloud-based storage is an excellent cost-saving solution, but requires data to be easily spread across multiple servers to scale up. MongoDB can load a high volume of data and give you lots of flexibility and availability in a cloud-based environment, with built-in sharding solutions that make it easy to partition and spread out data across multiple servers.
3. Develop and release quickly. If you’re developing within two-week Agile sprints, cranking out quick iterations, or needing to make frequent updates to the data structure without a lot of downtime between versions, modifying a relational database will slow you down. With MongoDB’s dynamic schemas, you can try new things, and fast. Your data doesn’t need to be prepped ahead of time, and your team can incorporate anything new, quickly, and at a lower cost.
4. Scale database architecture efficiently and inexpensively. With MongoDB, it’s easy to spread data out across commodity hardware on-site or in the cloud without needing additional software.
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