In our previous articles, we have covered what is Big Data and how Big Data works. Building on that momentum and knowledge base, it’s important now to leapfrog ahead and understand the various ways Big Data can be stored. In this article on the Big Data storage, we will cover:
- Definition of Big Data Storage
- Types of Big Data Storage
- Benefits of Big Data Storage
- Role of Big Data online course in developing storage techniques
- Future predictions and challenges in the storage of Big Data
Let’s begin.
Definition of Big Data Storage
Referring to our oldest resources, we can define Big Data storage as an information management system (IT management) that can store and compute large datasets. Advanced definition of data storage also provides capabilities related to analytics, risk assessment, and threat mitigation.
Since we are dealing with data size of values exceeding terabytes and petabytes, it’s essential to build a storage solution that can provide abundant security and processing capability to large semi-structured and unstructured data within seconds. For example, companies like Google, Facebook, and Amazon use Big Data storage to run Big Data-driven marketing, sales, and e-commerce branding campaigns, earning revenues worth billions of dollars every day.
Understanding How Big Data Storage Works
As a result of current and future data storage technologies, big data storage has become a commodity business. Companies like Google and Amazon have gigantic data storage centers that are able to store and process data with minimal latency to handle their massive user bases. All of this means that your traditional USB stick or external hard drive is not going to cut it when talking about Big Data.
Types of Big Data Storage
A Big Data Storage is a very complex ecosystem comprising of hardware, software, and server networks, connected eternally to the RDBS.
Simple classification would include:
- Data Warehousing
- Cloud Data Storage
- Racks
- HDD and Disks
Advanced system of storage relies on the Massively Parallel Processing databases that evolve into analytics and predictive maintenance platforms that we know today.
What is a Massively Parallel Processing database?
Also referred to as MPP Database, these DBs are heavily optimized for complex analytical workloads and aggregations occurring in seconds of operations. We now see the world of containers and dockers with Kubernetes philosophy. These MPPs are precursor components to Big Data infrastructure that could evolve into the future of AIOps trained for specific IT workflows in the CI - CD landscape.
For Big Data operations, Apache HDFS is regarded as the most reliable and trustworthy foundation to run analytics and maintenance.
Benefits of Big Data Storage
There are countless benefits of using Big Data Storage. We will mention the top 5.
- Big data storage reduces the cost of data management.
- Storage frameworks secure the data from falling into cyber threat agents.
- The agility and maturity of any data driven organization are measured on the basis of how strong and secured big data storage solutions are.
- Top organizations depend on big data storage functions to stay on track with their digital transformation journeys.
- The idea of customer experience is derived from the very potency and effectiveness of Big Data Storage solutions.
- So, if you are pursuing big data online course, don’t overlook the role of Big Data storage and how finely it intertwines with the modern data analytics ecosystem.
Future of Big Data Storage
Today, Big Data storage may look like the repository of large organizations. But, given the evolution of Cloud space in the Pandemic months, we can expect this trend to turn on its head as more and more small and medium sized start investing in the storage solutions. We are already seeing a rampant investment into a device as a service market and their role in the computational storage market could further accelerate the demand for Big Data Storage in the coming months.
Without a data storage infrastructure, these companies would have long lost the battle to traditional IT and Cloud resources providers. But, they now rule the world, thanks to their constant innovations in the field of Big Data Storage field. According to a recent estimate, the Big Data storage industry would be a $250 billion industry by end of 2021, and a $500 billion industry by 2025, triggered by the growing adoption of emerging technologies like Open Source coding, AIOps, IoT, 5G, Edge / Fog and Extended Reality and so on.
Learn Big Data trends today.
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