Question

challenges in conventionall system (pls send the pdf)

Answer 1

Explanation:

Background image

Data ChallengesVolume•The volume of data, especially machine-generated data, is exploding,•how fast that data is growing every year, with new sources of data that are emerging. •For example, in the year 2000, 800,000 petabytes (PB) of data were stored in the world, and it is expected to reach 35 zettabytes (ZB) by 2020 (according to IBM).

Background image

Volume•Social media plays a key role: Twitter generates 7+ terabytes (TB) of data every day. Facebook, 10 TB. •Mobile devices play a key role as well, as there were estimated 6 billion mobile phones in 2011.•The challenge is how to deal with the size of Big Data.

Background image

Variety, Combining Multiple Data Sets•More than 80% of today’s information is unstructured and it is typically too big to manage effectively. •Today, companies are looking to leverage a lot more•data from a wider variety of sources both inside and outside the organization. •Things like documents, contracts, machine data, sensor data, social media, health records, emails, etc. The list is endless really.

Background image

Variety•A lot of this data is unstructured, or has a complex structure that’s hard to represent in rows and columns.

Answer 2

$\huge\mathfrak\red{} Answer$

Challenges of Conventional Systems

Challenges The challenges when dealing with Big Data in three dimensions:

•data,

•process,

•management.

Data ChallengesVolume

•The volume of data, especially machine-generated data, is exploding

,•how fast that data is growing every year, with new sources of data that are emerging.

•For example, in the year 2000, 800,000 petabytes (PB) of data were stored in the world, and it is expected to reach 35 zettabytes (ZB) by 2020 (according to IBM).