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Introduction of Developing a
strategy for integrating Big Data Analytics into the Spotify
In this report, there is complete
information about the development of a strategy for integrating big data for
Spotify. It can be noted that Spotify is one of the biggest platforms for
screaming online music for users. This company is using a lot of remarkable big
data technologies for the ease of music listeners.
Deciding what big data technologies are right for Spotify
It can be seen that Spotify is
involved in using big data and artificial intelligence to do its business
towards the height of success and honor. This is also one of the largest on-demand
music services for the music lovers of the world. This company has a huge
history of pushing the technological boundaries towards the next level. This is
also a digital music company with more than 100 million users. This company is
always involved in enhancing the technology and services for the customers
through the help of different unique technologies
One of the best technology they
are using for big data is making the by-product of streaming music. At the
condition when there are a lot of people are listening to music at the same
time, then there is a need to access the song that is listened to by most of
the users. Moreover, it is also providing information about the device. This
company is also using its data to drive the main decisions of the company.
Moreover, at that point, the company is using the main data for the training of
the machines and its algorithms and apply it for the ease of the customers.
For enhancing the recommendation
and search engines for the ease of music lovers, the company is using API-based
products and machine learning technology. Furthermore, Spotify is also going to
adopt the blockchain startups for acquiring the new solution for decentralizing
the database of the music. Through this, it will be quite easy to connect artists
with their tracks. In that case, Spotify is applied to MightyTV service and
also audio detection service is used by the company
For the future, the Spotify Company
is overcoming the machine learning technologies by applying innovative ways for
managing the big data.
The strategic plan for adoption the technology for Spotify
It is extremely difficult for any
company that is dealing with big data for adopting any technology without any
kind of strategic plan. There are some important points in the strategic plan
of the Spotify Company. These points are discussed in a section given below
This can be done by lowering the
acquisition cost through banking for the customers. Through the help of this
plan, it will be easy for the company to highlight the problems in handling the
big data for the company. The next point is that this company is also
addressing a non-existent margin for adopting technologies for big data. This
company is adopting the subscription-based model technology because they know
that through this, they can easily adapt big data acquisition for the future. There
is another plan, and it is related to the selection of nuclear option because,
through this, they can better communicate with each other and also adopt the
new technologies. This company is also going to adopt new innovative means for
adopting these technologies in an efficient way
Standardize practices for soliciting business user expectations
For explaining this, first of all,
just define the performance expectation for reporting the big data in Spotify
Company. This company is using Big Data tools that are extremely easy to use
for the company. Through this, they can easily able to report and analyze their
data.
Also, the company is applying
some tips for clearing the requirement gathering stage for Spotify. The company
has to establish its main goals and objectives in the early stage. The next tip
is that they have to make a proper document for achieving the elicitation activity
of the company. Then after this, the company will be transparent with the main
requirements and then make proper documentation. The company can consult with
their main stakeholders and gather important points from them regarding the
problem
Acceptability for adoption: clarify Go/No-Go Criteria
The company has made a proper checklist to
clarify it in a proper way. This checklist will help the company to measure the
acceptability for adopting any kind of new technology. The point is that if
Spotify is involved in using MitghtyTV technology for users, so it will be
quite easy for them to increase the user experience. The reason is that through
this, music lovers are able to enjoy quality music at a low-cost rate, and it
will be quite beneficial for them. The
main reason is that MightyTV is video screaming application, so it will
improve their business in a proper way for the future
Prepare the data Environment for Massive Scalability
For that case, the company has a
unique plan for creating a proper data environment in the company. For that
case, the company is hiring new data engineers that will help to assemble and
create a data environment for achieving the massive scalability. The fact is
that this company was facing some challenges according to their existing
infrastructure. For solving these challenges, this company is enabling the proper
environment for big data. Now it can be noted that this company is one of the
fast-growing in the whole world. The main reason is that this music service
company is delivering to more than 40 million customers around the world. For
them, they need to apply different database technologies that will be quite
easy to overcome issues related to big data.
On the other hand, for the massive
scalability of the data the company using Cassandra, the reason is that it will
help the company to store the data by providing a persistent datastore. This
will help assemble high data loads in an efficient way for the future
Data Synchronization and replication- Change Data
It can be noted that the data
Synchronization is always one of the huge problems for the Spotify Company. At
the start, there are many users that find it extremely difficult to sync their
data for offline use. This has become one of the huge challenges for the
company. For dealing with such an issue, the company has Cassandra for storing
and scaling the data for the music lovers.
This new technology is helping
the company to manage important data in a proper way. The company has also worked
on changing the data capturing method by analyzing new technologies. Through
the help of such technologies, it will be easy to read and send the data
changes in an efficient way for the future.
Data warehouse and data marts
It can be noted that the data
warehouse of Spotify is huge. The main reason is that this company is handling a
large amount of data for the users. Their search engine is extremely big and reliable
for the music lover. The next thing is relating to the desktop notis of Wp.
Another point is that data marts are extremely big and also contain a lot of
options for the users
Promote data Reuse/ Repurpose
It can be seen that this company
is also promoting its data for its customers. This company has a huge library
in which they can easily reuse their old data in a perfect way. This means that
you don’t need to make a new account.
Institute proper levels of oversight and governance
This company has made a proper
level for over sighing the rate of data. The quality of their data is extremely
high and also efficient. Anyone is able to use this data to overcome the issues
related to big data.
Governed process for mainstreaming technology
This company is also using innovation
methods for applying new technologies related to data handling. Through these
strategies, it will become quite easy to handle big data problems in an
inefficient way. The government of America has defined some important
technologies for managing big data by applying them, and the data handling
problem can be minimized easily.
Conclusion of Developing a
strategy for integrating Big Data Analytics into the Spotify
Summing up all the discussion
from above, it is concluded that Spotify is using unique strategies and
technologies for handling their data in a proper way. This is also one of the
largest on-demand music services for the music lovers of the world. This
company has a huge history of pushing the technological boundaries towards the
next level. This company is also using its data to drive the main decisions of
the company.
Moreover, at that point, the
company is using the main data for the training of the machines and its
algorithms and apply it for the ease of the customers. There are some important
points in the strategic plan of the Spotify Company. This company is also going
to adopt new innovative means for adopting these technologies in an efficient
way. The next tip is that they have to make a proper document for achieving the
elicitation activity of the company. It can be noted that the data warehouse of
Spotify is extremely huge. The main reason is that this company is handling a
large amount of data for the users.
Considerations of various Management, Data Quality and Governance
issues in Spotify
Big data and Data governance
There are many issues regarding
big data and also the data governance in this organization. The big data
problem for Spotify is extremely high. The government is required to solve this
problem in an efficient way. But it is quite difficult to solve it because the
government has put a limitation on the data. Also, the company is applying some
tips for clearing the requirement gathering stage for Spotify. The company has
to establish its main goals and objectives in the early stage. The main reason
is that MightyTV is video screaming application, so it will improve their
business in a proper way for the future. For solving these challenges, this
company is enabling the proper environment for big data. Now it can be noted
that this company is one of the fast-growing in the whole world
The difference with big datasets
It can be seen that the big data
is involved in acquiring the datasets and also its streams in a perfect way.
There is much organization that is involved in handling big data problems. But
it can be noted that big datasets are not easy to be absorbed properly. The
main reason is that there are some volume issues related to big data in
Spotify. At the condition when there are a lot of people are listening to music
at the same time, then there is a need to access the song that is listened to
by most of the users. Moreover, it is also providing information about the
device. For dealing with such an issue, the company has Cassandra for storing
and scaling the data for the music lovers. The main reason is that this company
is handling a large amount of data for the users. The government of America has
defined some important technologies for managing big data by applying them, and
the data handling problem can be minimized easily
Big data oversight of Developing a strategy for integrating Big Data
Analytics into the Spotify
There are five main concepts that
are related to big data oversight. The Spotify Company has to focus on all of
these concepts in a proper way, so then it will be extremely easy to solve
their problems related to data handling. The next tip is that they have to make
a proper document for achieving the elicitation activity of the company. The
fact is that this company was facing some challenges according to their
existing infrastructure. For solving these challenges, this company is enabling
the proper environment for big data.
This new technology is helping
the company to manage important data in a proper way. The company has also
worked on changing the data capturing method by analyzing new technologies.
Through the help of such technologies, it will be easy to read and send the
data changes in an efficient way for the future
Managing consumer data expectation
The first concept is related to
managing data expectations in an efficient way. If any company is involved in
managing such data, then there will be no pressure for them in completing the
data demand of their customers. Moreover, Spotify also has to maintain the
quality of information of its users. Through this, it will become extremely
simple to process and execute the main points about the data. Furthermore, the
company also able to overcome the issues related to the negative impacts on the
quality of the data.
Identify critical dimensions of data quality
The next point is that the
company also has to identify the main critical dimensions of the data. This is
because, through this, the company can easily improve the quality of data for
the users. The company is also able to maintain the main data of its customers
in an efficient way. For that case, the most important point is that the
company needs to identify the main difference between the controllable and
measurable data for its database. The main point is the currency of the data.
The company has to maintain the level of currency of their data for gaining
perfect results.
Consistency of Metadata and Reference Data for Entity Extraction
For this fact, the company has to
analyze the main relationship between the connectivity and the quality of data.
It can be seen that in any kind of data set, and there are different types of
data that may contain unstructured and structured sources. Moreover, all of
these sources must contain specific data set for dealing with connectivity
issues
References of Developing a
strategy for integrating Big Data Analytics into the Spotify
JWatson, H., 2014. Tutorial: Big data analytics:
Concepts, technologies, and applications. Communications of the Association
for Information Systems.
Katal, A., Wazid, M. & Goudar, R. H., 2013. Big data: issues,
challenges, tools and good practices.. In 2013 Sixth international
conference on contemporary computing (IC3).
LaValle, S. et al., 2011. Big data, analytics and the path from insights
to value. Big data, analytics and the path from insights to value.
Lodovici, M. & Bigagli, E., 2011. Oxidative stress and air pollution
exposure.. Journal of toxicology .
Philip Russom, 2011. Big data analytics. TDWI best practices report,
fourth quarter .
Wang, Y., Kung, L. & Byrd, T. A., 2018. Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change.
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