December 19, 2018     11:40 am

A Brief Overview of Big Data Technology, Applications & Best Practices

Big Data
Big Data

Big Data is a technology used to refer to data collections that are too large or difficult for common data-processing application software to deal with well.

In data with many rows offer greater statistical power, while data with more attributes or columns may direct to a higher false discovery rate.

Its challenges involve taking data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source.

It’s associated with three key ideas: volume, variety, and velocity.
Other concepts later attributed with big data are credibility and value.

Volume:

In Volume we can say that; Teams take data from a variety of sources like; social media, business transactions,  and information from sensor or machine-to-machine data.

Velocity:

In the Velocity data streams in at unusual speed and must be dealt with on time.

Variety:

In Variety you can understand that data comes in all types of formats from structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data, and financial transactions.

Variability:

In expanding the speeds and types of data, data flows can be highly changeable with periodic tips.

when we see something trending in social media? We have to regular check seasonal and event-triggered peak data loads can be challenging to achieve even more so with unorganized data.

Complexity:

Today’s data appears from various origins, which is very difficult to link, match, cleanse and transform data across systems.

Technologies:-

Some Technology of Big Data you must know-
1. Apache Spark
2. Hadoop Eco-System
3. R
4. Cloud Data Flow
5. NoSQL Databases

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Applications:-

Some Applications are-
1. Government
2. Healthcare
3. Media
4. Education
5. Insurance

Best Practices:-

Some Best Practices of Big Data-
1. Serve Big Data with Specific Business Goals
2. Optimize Knowledge Transfer with a Center of Excellence
3. Comfort Skills Lack with Standards and Governance    
4. Top Payoff Is Arranging Unorganized with Organized Data
5. Align with the Cloud Operating Model
6. Prepare Your Discovery Lab for Achievement

Conclusion:-

The Overview of Big Data is that it is used for data collections, which is difficult for common data-processing application software to deal with well. If you need any Big Data Assignment Help chat with our experts for the help.

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