With the advent of
new technology, digital transformation has experienced a drastic change.
In such scenario,
most companies aim at harnessing information from different kinds of data without
fail. Thankfully, now organizations can do this by accessing a variety of
solutions.
Let’s have a look
how the big giants in the business address the problem. For example, eBay being
a digital business is doing exceptionally well. It was always a digital endeavour
and hence embraced the latest technology. Same is with big IT companies which
aim to enhance their existing processes and create new experiences. Data is the
most significant asset of any big company. The scenario often witnesses sites
like eBay which manages huge data of listing of active buyers regularly. The
figure gets multiplied every week. It is evident that company with a huge
volume of data ensures its success on the fact that how fast it can process the
data to boost sale.
Relying on Technical Strategy!
The very first
challenge that eBay encountered was to find a platform. Besides traditional
data warehouses, it needed a platform that could store a large volume of data.
The factors like type and structure of the data and the speed of analysis lead
to evolvement of a traditional data warehouse structure which is called as data
lakes. For instance, the organization requires keeping around nine quarters of
historical trends data to offer insights on items like year after year growth.
It also requires to analyze data in real-time to help clients throughout their
buying cycle.
Challenges on the Way!
The quality to
assist data at the scale of a company was a main concern in the selection of
technology. The company decided to work with Hadoop because it facilitated with
an open source platform which was scalable and the vendor was ready to work
with the company to design more product enhancements. Relying on Hadoop, the
company combined other two components like streams and services.
A big technical
challenge was to deploy a system which can rapidly analyze and perform action
on data as soon it arrives into the company’s systems. Now there are various
rapid methods to enhance streaming data analysis. eBay is now working with
several tools encompassing Apache Spark, Kafka, Storm.
The data services
layer provides functions that assist an organization to access and query data.
It also enables the company’s data analysts to find information tags which have
been related to data and makes it consumable to people with right level of
permission and security. It also uses an interactive query engine on Hadoop
which is known as Presto. The company has now been at the forefront of using
the big data solutions. It also contributes its insight back to the open source
community. Madrid Software Trainings in association with industry experts
provides Hadoop training in
delhi.
Challenges that are
faced by organizations in adopting analytics are a few. The biggest challenge
is to make an evolution from a knowing culture to a learning culture. It means
from a culture that depends on heuristics in decision making to a culture which
is data driven. It embraces the power of technology and data and not the cost.
Initially, it ends up being imagination. The power for fear is tremendous in
evolving ourselves to think and act differently today. It is the game of
mind-set change. In simple words, from an expert-based mind set to one which is
more dynamic and learning-oriented.
Finding the set of
tools that assist companies to generate value through the process efficiently
is another challenge. The technology is still changing and the sources are yet
to be evolved. To keep pace with the latest technology, more people with big
data skills are needed. Join Big Data Hadoop institute in
delhi to upgrade your skill.
When it comes to
big data, data privacy is one of the biggest challenges which mean what is
shared versus what is not shared. Consumers are interested to share if there is
value returned. One-way sharing will not do any wonders. The protection of data
is another challenge that needs to be overcome.
However, big data
has been changing the way decision maker’s act in various areas like retail and
hospitality or legal industry. In past few years, it has been observed
drastically in various sectors and healthcare is no exception. Now, you can be
quick to share that medical research has always counted on data analytics,
which is not true. However, big data has made a slow move in the rest of the
healthcare system.
