Data
is all around us. Do you know how much data we currently have?
90%
of the data in existence now was produced in the
previous two years. Additionally, the amount of data generated globally doubles
in size every two years. For a variety of connected
reasons over the past 20 years, the amount of data on the planet has
significantly increased. To illustrate the amount of data, the illustration is
shown below.
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Figure: World Data Statistics (Source) |
According
to IDC, the overall global
datasphere reached 175
zettabytes (175000 Exabytes) in 2025.
As
a result, we now know how much data we have. The topic of why data is present
everywhere and why it is necessary may have touched our minds.
Let's
say you launched a company that produces just mobile phones. You first create
100 phones every month and sell them to a single customer. As the days pass and
you continue to build your client's trust, they now request 500 phones every
week. Another 20 clients, for instance, request 10,000 phones each week. Hence,
42,000 phones monthly in total. 100 people have already been hired by you to
work for you. Let's assume that you can choose a phone without relying on
information regarding the product. Okay, so you have 200 clients at the end of
the year, and they require 1,00,000 mobile phones per week, or 4,00,000 each
month. Additionally, some of the clients require additional electronics like
monitors. These figures rise each year.
So,
the question is: how can you stay informed on your company's development,
revenue, production data, marketing data, sales data, etc.? What's more, how
can one make wise business decisions?
The
solution is that you must keep your data and utilize it to enhance your
decisions. As a result, the amount of data being collected by businesses and
their users is growing quickly.
We
can now see why the amount of data is growing. And there is no question why
data storage is necessary.
Let's
imagine you started storing your data in local databases, cloud storage, and
other places in the second year of your business and you are succeeding. Your
IT department indicated that they are unable to handle the storage of data in
databases after two years. The collected data will be enormous in scope as your
organization develops and produces 10M+ products annually. Since databases are
very simple tools, their sole purpose is to reliably and effectively store
data, occasionally quite huge amounts of it. Architectural trade-offs are
frequently necessary to preserve this basic capability, but they might restrict
an organization's ability to access, use, and analyze its own data. Your data
sources are dispersed as you have to store data in various ways. Your business
analytics teams are thus having difficulty making decisions.
Therefore,
you need to come up with a better way to keep your business expanding while
also making decisions about it quickly.
In
order to address these issues, you set up a data warehouse (such as Google Big
Query, Snowflake, Azure Synapse, etc).
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| Figure: Implementation of Data Warehouse |
Now
your business may store and access structured data in the most accurate and
dependable way possible with your data warehouse, which enhances
cross-organizational data access via reports, dashboards, and analytics tools.
Because you are confident in the reliability of the data, these enable
businesses to better monitor performance and enhance decision-making.
After
a few years, as your business continued to thrive, you opened a few
departments, including those for finance, marketing, production, and sales.
Huge amounts of data are being generated each day.
As
days go on, you & your team find out issues that you & your teams are
facing:
· Accessing departmental data is becoming more complex and time-consuming which causes problems in making effective business decisions.
· Facing difficulties while analyzing product sales deals on a daily basis, and the same things goes on for making sales predictions on weekly basis.
· Your marketing team has to wait to get the desired data for making campaigns as at the time your sales team is also accessing the warehouse that was built.
· Your data warehouse is becoming obsolete as days go on due to a hung chunk of data imported constantly.
· You have to spend a lot of money to maintain the warehouse along with a lot of pressure is imposed on your IT team.
· As your warehouse is containing some sensitive information, so you limited access to some people which is why gaining access is taking time.
So,
you discuss those with some experts about those problems and you come up with
some solutions:
You
have to enhance the user’s response time due to the reduction in the volume of
data and provide easy access to frequently requested data. For that, you have
to partition your departmental data by allowing granular access control
privileges.
Which
describes the features of Datamart. As Data mart is a subset of a data
warehouse oriented to a particular business subject line. The data mart
contains a repository of summarized data collected for analysis for specific
sections or units within organizations. It is controlled by only a single
department in an organization. Data Mart usually draws data from only a few
sources compared to Data Warehouse. Data Mart is small in size and is more
flexible compared to Data Warehouse.
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| Figure: Data Mart |
If
you use Data Mart technology, all of your issues will be resolved. The
difficulty is, how can you accomplish it while spending as little money as
possible and still offering all the amenities that a data mart typically
offers?
The
following information about Data Mart implementation is what you have learned.
· You'll require extra IT personnel to oversee your Data Mart.
· The creation of a Data Mart takes less time than the creation of a Data Warehouse. However, how many days? Ok, after gathering information, you now know that the installation procedure takes a few months to finish.
· In addition, creating a Data Mart on-site or in the cloud requires a significant financial investment.
· You must teach non-technical staff members how to use a data warehouse or data mart.
These
are the main problems with the deployment of Data Mart. You have to think again
about how to resolve those issues.
Stop
worrying right now. Microsoft has the answer to your issue. On May 24,
2022, Microsoft made
a service with the name Power BI Datamart public. Power BI Datamart will handle
every task for you. The data mart won't even need to be implemented by you
because Microsoft will do it for you.
Microsoft claims
that it is a fully managed, self-service data analytics solution with a
low-code, no-code user interface that will close the gap between business users
and the IT department. Additionally, it has the following advantages:
· Without the assistance of a database administrator, self-service users can easily do relational database analytics.
· Datamarts offer end-to-end SQL data ingestion, preparation, and exploration, including no-code experiences.
· Make it possible to create semantic models and reports using a single integrated experience.
You
might have been concerned about what else it might suggest. Microsoft also
has a response for that. It has the following features, among others:
ü 100% web-based, no other software required
ü A no-code experience resulting in a fully managed datamart
ü Automated performance tuning
ü Built-in visual and SQL Query editor for ad-hoc analysis
ü Support for SQL and other popular client tools
ü Native integration with Power BI, Microsoft Office, and other Microsoft analytics offerings
You
are probably pleased that Microsoft was able to resolve your problems. Costing
information is one of the difficulties that are still outstanding.
You
also don't need to be concerned about that. since it has included Power BI
Premium Per User and Premium Capabilities. Therefore, all you need to use is a
Power BI Premium license. You must pay $20 per month for Power BI Premium Per
User (PPU) and $4995 per month for Power BI Premium Per Capacity (PPC).
Bang!
Microsoft is going to take care of all of your issues. Continue to expand your
business.
