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Data Lake Vs Data Warehouse: what’s the difference?
Data is the live blood for any kind of organization. The organization having more accurate data are...
Applications of Fog Computing: Across Various Industries
Learn the various applications of Fog Computing and its impact on different industries. Fog Computing is an essential concept in IoT (Internet of Things) as it reduces the burden of processing in cloud computing.
5 Cloud Archive Storage Solutions
Archival storage of cloud data is meant for that type of data which isn’t of use on...
Fog Computing Advantages Across Different Sectors
The need to improve upon cloud computing, in trying to manage large chunks of data in real-time...
Top 5 Use Cases of Fog Computing
In one of our earlier blogs we have already discussed various issues that hamper fog computing's working...
Role of Fog Computing in Internet of Things Explained
In today’s world of growing technologies, the industry experts have already created an alert regarding the cloud...
Facts On Technologies Driving The Digital Economy
The digital economy develops new economic policies, reformation in law on taxation debates, and for economists to ask the right questions.
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What is Hybrid Data Management? Why you need it in digital...
Hybrid Data Management fuses traditional, and big data analytics, unstructured and structured data, data in the cloud and on-premise, partner ecosystem data, and data...
Applications of Grid computing
Grid computing is a distributed architecture of a large number of computers connected to a network that share each other and many more resources.
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Open Source Data Mining Tools
Weka - This open source data mining tool that uses a machine-learning algorithm for mining the data. An organization that uses rapid prototyping prefers...
Load Balancer as a Service Explained in Detail
Load balancing is the appropriate distribution of incoming traffic across a bunch of servers. This way it ensures that no one particular server is...