How Big data affects tech giants? and What are the solutions they used?

In the daily routine tones of applications, we are using these days like Gmail, Facebook, Instagram, Amazon, etc. Interaction with them, it collects our data. From the moment when we wake up to sleep time. From paying taxi rent to Salary pay, we are using these technologies to make our life more efficient to live — all of these technologies collect our data.

This data collected by companies are used to develop their products and make services more efficient. Recommendation systems become more and more powerful to recommend songs, films, shopping items, and course selection from online websites. facial recognition systems used by police and the prediction of weather, all of these have become true with this huge data.

To handle this much data is a very big task by MNCs, So let’s take a look what kind of problems they are facing right now,

Problems that is now facing by tech companies and business organizations:

1. Data source sychronization

Datasets are becoming more diverse and bigger, So we have big challage to incorporate them into comman analytic platform. Think about it… It will create a gap and lead us to wrong insights. right….

2. The Shortage of professionals who can solve big data problems

In real world we are product data at every minutes. On facebook every day users are upload approximately 500TB data. Insightful hah.. Exponential rise of data need to be process, that's why a huge demand of data scientists and big data analysts has been created in market. Now its become an important to hire data scientists for big organization but they aren’t sble to. Why???? Beacuse shortage of data scientists.

3. Voluminous data in big data platform

It surprising that data is growing with every day. Its indicates that business organizations need to handle a bigger amount of data on day to day basis. The amount and variety of data available these days can overwhelm any data engineer and that is why it is considered vital to make data accessibility easy and convenient for brand owners and managers.

4. Data Storage and Quality

With development of technologies data creation is increase on daily basis. Lots and lots of amount of data have been created.

But…… The big problem is how to stores it?

Popular data storages like data warehouse and data lakes are stores the structured and unstructured data in its naive formate.

The real problem arise How to process it?

Probable solutions:

Hadoop

Tool like hadoop can manage such a massive volume, structured and unstructured data. This is a new technology for many professional but with the proper training of this tool we can process and stores big data.

Visualization

Visualization is also a another way to analyze the data. Visualization of data can solve the problem with proper decision.

Spark

Spark can very useful data processing tool. It create huge performance gain for high volume and diversified data.

Hybrid cloud

Expanding private cloud using a hybrid model allows erupting for the additional computational power needed for data analysis and to select hardware, software, and business process changes to handle high-pace data needs.

There more tools are available but these are more widely used ones.

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