In: Operations Management
No handwriiten answer atleast 3 pages read carefully then answer the question. I'll rate
Technology in the news! Technology, Labor, and Society.
instructions:
Select a technology developed between 1980 and 2000, and then craft a narrative which addresses the following questions:
What is the technology?
What problem does it solve?
Who developed it?
How did this technology influence another technology?
Examples?
Is this technology, or a subset of this technology in use today?
What are some of the social and cultural effects of the technology?
Did it effect society? Was it positive, negative, neutral?
Did the technology create equal opportunities, or were they unequal in distribution or access?
How did the technology impact employment and production?
What is the relationship to labor market demand?
Did the technology increase or decrease the need for additional employees?
This writing assignment will begin your exploration of technology, investigating effects, influence, use, and adoption. You are writing a story; a story about the technology. It is not meant to be a scientific paper. It may be written in the first person, as you are describing how "you," have understood the technology and how it has influenced society, etc.
You should identify a minimum of 3 references for your paper, and they should be properly cited.
Big data is an essential part of any organisation which has
different layers. It has different stages which passes through raw
statistics or unstructured data to an actionable structured
data.
Layers are necessary to build a system which moves from raw data
material to the specific actionable data inside.
Layers which are implemented into the big data are as follows
Data source layer
Data storage layer
Data analysis layer
Data output layer
Data source layer
This is specifically here is the first layer where the data
arrives. Data which arise at this specific layer is unstructured as
well as contains multiple sales record customer database is a
feedback. It is one of the first Strategies and steps in setting up
the data strategy for assessing the specific data which is entered
into the organisation. Determination of the new sources or
available data is possible.
Data storage layer
This specific layer has all the big data which arise at your
organisation. Once the big data enters your organisation it is
stored into this specifically her. Some specifically Design Tool
have been developed to store this kind of data and as well as
Apache Hadoop dfs system or Google file system has widely been used
for scoring the big data. Every database has its own understanding
of Hadoop has its own HBase and all of them are based on the noSQL
architecture which are very popular.
Data processing layer
In this layer data is processed and analysed. Most common for
analysing and processing data is mapreduce tool. This is specific
tool uses this big data to analyse the specific and process the
specific terms which has been implemented into the big data. Larger
organisations have invested in their own Data Analytics tool as
well as teams which are part of their big data. Automatic patterns
as well as different algorithms have also been implemented into the
organisation for better big data mining. Drawing the conclusions
regarding the manual data analysis is also present.
Data output layer
This layer contains the passed data which comes out from the
organisation for the specific benefit of the teams as well as
people. Clear and concise communicate is very essential in this is
specific stage and the output can be in form of charts reports,
figures or recommendations. Big data analysiss final part is this
specific stage and the measurable improvement in at least one KPI
has to be achieved by the specification taken on the basis of the
analysis which has been carried out.
Predictive modelling is a process in which data Mining or big data
is used to create a prediction of the specific model which is later
used as a prototype. Number of forecast items and predictors are
used to obtain the specific model which is Virtually assign. When
the data has been collected from relevant predictors statistical.
Complex software algorithm as well as statistical analysis model is
design with the help of the specific softwares and they are
validated or specifically revised
Offshore data warehousing was initially developed durin 1999 for coping with the requirements of extensive data storage .
Offshore data warehousing is very widely being used for
organisations for improving the overall data warehousing needs as
well as reducing the overall cost involved in data warehousing.
Offshore development of the data warehousing provides extensive
support to the stopping as well as it also increase the overall
productivity by lowering and maintaining the cost which are heavily
invested in on shore data warehousing systems. Offshore data
warehousing systems are very flexible in terms of acquiring band
with. If a project is specifically determined with required
details,Offshore model is the most appropriate way to use with this
specific situation as it provides intensive support to the overall
structure of organisation as of your data warehousing is very
effective in terms of directly affecting the total bandwidth
captured by the organisation.
Basic limitation of the Offshore data warehousing is that it is
very stressful to the changes. For making any kind of change in the
of your data warehouse, intensive efforts are need to be done which
is directly implemented into the chain management system.
Development of the Offshore models are widely developed as per the
need of extreme data warehousing for most of the organisation which
is creating problem on land. Pirate using the overall cost and
development of the Offshore data warehousing systems, overall
implementation of multiple requirements for your organisation which
include intensive amount of big data is stored in data warehouse is
which is build Offshore for the benefit of the organisation.
Offshore data warehousing systems also have different risk involved
as the maintenance level of the Offshore warehousing system is very
high and any kind of repair which is done on the system is very
costly. Once the link is damaged between the data warehouse which
is located Offshore and the line centre, mitigating the problem and
finding the issue in the connections is one of the biggest issues
which arrived in this type of data warehousing.
All in all we can say that Offshore data warehousing has been very effective in implementing better Strategies for the organisation to reduce their overall expenses in big data storage. By lowering the overall expenses in the of big data storage by doing Offshore development of the data warehousing systems, organisations are directly focusing on creating better Strategies for managing the data and improving their overall market situation. It also increases the flexibility which makes it more efficient for the Change management of the organisations as it is a requirement of today's business.
P.S.- Please use separate threads to ask multiple questions at a time.