Question

Challenges of conventional system in big data

Answer 1

Uncertainty of Data Management Landscape: Because big data is continuously expanding, there are new companies and technologies that are being developed everyday. A big challenge for companies is to find out which technology works bests for them without the introduction of new risks and problems.The Big Data Talent Gap: While Big Data is a growing field, there are very few experts available in this field. This is because Big data is a complex field and people who understand the complexity and intricate nature of this field are far few and between. Another major challenge in the field is the talent gap that exists in the industryGetting data into the big data platform: Data is increasing every single day. This means that companies have to tackle limitless amount of data on a regular basis. The scale and variety of data that is available today can overwhelm any data practitioner and that is why it is important to make data accessibility simple and convenient for brand mangers and owners.Need for synchronisation across data sources: As data sets become more diverse, there is a need to incorporate them into an analytical platform. If this is ignored, it can create gaps and lead to wrong insights and messages.Getting important insights through the use of Big data analytics: It is important that companies gain proper insights from big data analytics and it is important that the correct department has access to this information. A major challenge in the big data analytics is bridging this gap in an effective fashion.

Answer 2

⛤Hey There⛤
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Challenges of conventional system in big data

Three Challenges That big data face.

⛤Data
⛤Process
⛤Management

Volume

1.The volume of data, especially machine-generated data, is exploding,


2.how fast that data is growing every year, withnew sources of data that are emerging.


3.For example, in the year 2000, 800,000petabytes (PB) of data were stored in the world,and it is expected to reach 35 zettabytes (ZB) by2020 (according to IBM).


Processing


More than 80% of today’s information isunstructured and it is typically too big to manageeffectively.

Today, companies are looking to leverage a lotmore

data from a wider variety of sources both insideand outside the organization.

Things like documents, contracts, machine data,sensor data, social media, health records,emails, etc. The list is endless really.


Management


A lot of this data is unstructured, or has acomplex structure that’s hard to represent inrows and columns.

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Hope It Helps.☺️