How .NET Framework coalesce With Big Data for Software Development – 360 Bytes

Businesses of all the sizes have started to identify the value of big data collections and need to take benefit of them. The growth of software systems has a vital role in big data Analytics.
Once the Organisations are about to begin their big data journey, all they start by batch processing their large data assets. This implies collecting and combining weblog data, the user clicks from an app and telemetry from IoT devices.

The Technologies in the Large Data Analysis Space

There are a lot of technologies in the big data space. The .NET Framework is one of the technologies among them. .NET developers are also database developers. With the declaration of Hadoop, Microsoft has offered a big data analytics software to its network. A year later, the tech has brand recognition as well as substantial incorporation with .NET & Visual Studio that is clearly deliberate to Microsoft.

What is Hadoop?

Hadoop is an open source big data technology that supports processing and storage of big data sets and consist of a lot of tech skill like NoSQL databases, analytics and so on. The best thing about this technology is that it is affordable due to its low utilization cost and typical hardware. Big data is not really a new technology, but it is used for a lot of technologies. Nearly, some of the technologies are already present, but these days, this term is being used for various technologies.

Key Benefits of Hadoop

Due to key benefits, Hadoop is recognized as a great technology for most of the traditional enterprises:

Scalable

It is highly flexible storage platform as it stores and distributes large sets of data across several servers executing in parallel. Moreover, it let organizations to run apps on various nodes that include a lot of data terabytes.

Flexible

Using Hadoop, Organizations can easily access sources of new data and knock into various types of data, both organized as well as non-organized to measure value. This allows businesses to make use of Hadoop to extract useful business insights from social media, email conversations, clickstream data and so on. It is also used for other purposes like data warehousing, log processing, recommendation systems, market campaign analysis, fraud detection and so on.

Cost-effective

Hadoop provides cost-effective storage solution. It is designed as a scale-out architecture that stores all data of a company to be used later on. The Cost Savings is amazing. It offers storage and calculation competences for hundreds of pounds equivalent to 1 terabyte.

Robust to Failure

The key benefit of Hadoop is its use in fault tolerance. Whenever data is sent to a particular node, it is being replicated to other nodes that results in a replica of the data, which is always present for the use.

Fast

Data is stored on the distributed file system that is meant to map data to its location in the group. The tools for processing data are present on the same server wherever data is located, resulting in the fast process of the data. Hadoop process terabytes at much faster rate.

Navigating with Hadoop

·         Major technologies in the system and how they incorporate with Hadoop & .NET.

·         HBase: Real-time big data NoSQL Use Hadoop for Storage Purpose.

·         Hive: Used for Querying data in Hadoop with SQL-like language.

·         Spark: A compute engine that uses Hadoop to collect data in-memory for fast access.

Will Big Data be Relevant with .NET development?

Data Analytics is a large industry phenomenon at the present scenario. There is less supply of the professionals. Microsoft equates Windows Development with enterprise development using .NET, VB, Relational Database Server with SQL server using a combination of the product.
Developers characterize Hadoop now work in lab environments, no matter it is big organizations or start-ups in academic organizations. Practitioners of large data work in lab-like environment and they are from IT and business units.

Data analytics & .NET

Large organizations look for big volumes of data for understandings as well as to make decisions in the real time. Organizations using .NET development as a platform help to capitalize the technology. One can take the benefit of flexible big-data based solutions with combination of .NET technology and IIS server. This proves beneficial for the organizations.

Big Data for .NET Developers

Cloud Data Services released by the Microsoft execute in a data analytics space. A developer should have the understanding of the technologies and their impact as well. With the development of .NET technology and call for ultimate user experience, .NET development obviously lead to better opportunities in this new era specifically on the mobile side. This will allow more interaction of online business with their targeted audience.
With the growth in the development of .NET solutions, Microsoft created a large system to streamline the entire process of web development.