Three Major Technology Shifts in the World of Data
May 24th, 2022
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3 mins 38 secs
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Three major technology shifts in the world of data
Technology shifts
On-premises moving to the cloud
Batch processing/loads moving to streaming data
Data warehouses moving to the data lake
SETUniversity.com
SET U
The data-centric world massively expanded in the last few years.
We saw a gradual buildup from off-premises data to on-premises data in the
landscape. Cloud technology is helping businesses to come online and serve a
wider audience. A proper online footprint is critical as it can determine a
business's future success or failure.
Technology
is growing fast on which International Data Group (IDG)
predicted the
Global Datasphere. A massive jump from 33 Zettabytes in 2018 to 175 Zettabytes
of data in 2025 took place right before our eyes. Cloud companies, data
providers, internet businesses, hardware, software, cybersecurity, network,
on-perm engineers, energy providers, marketers, and advertisers are growing
equally to cope with the leap.
These
changes depend on three major technology shifts in the world of data. Let's go
through them briefly.
Data
warehouses moving to the data lake
To
understand why and how data warehouses moving to data lakes impact technology
shifts in the world of data, we first need to learn about their properties.
A data
warehouse is a single place for companies and organizations to store, manage
and retrieve data. It can be challenging to determine which data to use in a
pool of unlimited resources. Data warehouses make sure data from a legitimate
source and still usable is stored for later use.
On the
other hand, the data lake is a streamlined repository to store all structured
and unstructured data. You can say data is stored frequently in the data lake
process. According to AWS, data lakes can handle a wide array of analytics such
as dashboards, visualizations, big data, real-time analytics, ml, and plenty
more.
As we are
moving towards machine learning and artificial intelligence-related portfolio
more and more, it only makes sense to use a repository that makes more sense to
the system.
In this
case, even though we are storing both structured and unstructured data, the
data lake is the most compatible.
Batch
processing/loads moving to streaming data
Streamlining
the data process is not easy, no matter how hard we try to make it sound. There
remain security concerns, data selection, usability, and neediness properties.
Multitude
levels of data sources are compiled into one space under the batch processing
unit, which takes time to undergo proper analysis before using the query.
It takes
a considerable amount of time to batch load data, whereas streaming data is a
great alternative. The batch processing uses STANDARD Mask format to store and
use properly, where streaming data is being processed in real-time as it is
going through the system.
Batch
data can become unusual, and storage heavy as data sits there for quite long.
Simple examples can be billing systems or payroll data that has been processed
frequently. Streaming data is preferred nowadays as data follows through the
system, it remains fresh, and analysis or reporting can be done in real-time.
On-premises
moving to the cloud
As
security, storage, maintenance, and update can be a hassle, many enterprises or
SMB decision-makers prefer cloud data migration. One of the great things about
the cloud is that when you decide to use the online services that can access
data anytime, from anywhere, on-premises data seems like the process of keeping
data in a cave.
When
deciding on the cloud, one critical component is whether you want to load data
fully or if a partial migration makes more sense. Because there, it wouldn't be
financially efficient to purchase barely used features.
After
years of perfection, cloud providers made the switch easy as there are
step-by-step guidelines, buy-what-you-need, and plenty more options stitched to
the subscription system.
On the
contrary, on-premises data can stack up and eat more storage than needed.
Planning, evaluating, establishing KPIs, setting up a budget, and choosing a
vendor are vital decisions that need proper handling before jumping to the
cloud. We've seen a record number of on-premises moving to the cloud during the
pandemic.
Final
Words
As the world is still advancing
toward the digital future, we need the combination of both utilization and
realization of efficiency and security. Migrating to the newer tech may not
always be the best option, but we beg to differ in most cases.
As data needs special care for
handling, storing, and maintaining its security, why not advance to the most
suitable option?
