DataOps is a process-oriented methodology essential for data teams, improving efficiency through automation and streamlined data management. A DataOps platform centralizes data processes, enhancing data quality, reducing labor costs, and improving analytics capabilities while managing large data volumes and various formats. Adoption of DataOps platforms can significantly benefit organizations aiming to enhance their data practices and operational effectiveness.

1. WHAT IS DATAOPS PLATFORM? WHY
YOUR TEAM NEEDS IT?
DataOps, also known as Data operations, is a process-oriented method for data teams. DataOps
contains the best quality of DevOps methodologies like faster development and easy
maintenance. Now, it has become very important for data-driven teams. Companies now use a
good DataOps platform for streamlining, automating, and managing the data pipelines.
The data teams use platforms of DataOps as centralised command centres to organise data
pipelines at various stages in one place.
In the present era, where organisations are quickly releasing their software, the need for fast
data processing is also increased. And companies can also use software release
management tools to make the software release quick & secure.
WHAT IS A DATAOPS PLATFORM?
A DataOps platform is a concentrated location where a team can gather, analyse, and apply data
to make defensible business choices. Through this platform, you can get important tools for
implementing DataOps practices.
A normal platform fulfils the need of an organisation’s data handling. It may be data collecting,
organising, storing, and using it. But these platforms don’t guarantee the efficiency in the
development cycle you get in the platforms of DataOps.

2. If any organisation wants to improve their data practices, it must consider using platforms of
DataOps. You can find many such platforms that you can use for your company.
Now, we will discuss why your organisation need the DataOps platforms in the current
scenario.
Also Read: Sand Castles and DevOps at Scale
WHY DOES YOUR TEAM NEED DATAOPS PLATFORMS?
1. Data volume
Today, organisations have huge data volumes. Analytics engineers use the data from a
data lake to create a filtered and aggregated table for business intelligence or reporting.
Organising, processing, and reporting huge volumes of data becomes easy with the
platforms.
2. Enhanced data quality
With the help of the DataOps platform, you can automate repetitive processes. It also
helps automate code testing, data quality assertions, and controlled deployments. Due
to this, the chances of wrong or unexpected data downstream reduce. Thus, you can
expect increased efficiency as well.
3. Reduces the labour cost
DataOps pay attention to the process-oriented methods and automation that later
improves workforce productivity. By adopting smart testing & observation mechanisms
into the pipeline, teams can focus on strategic tasks rather than routine tasks.
4. Improved analytics
Automated data stream receiving, processing, and aggregate analytics, together with
error eradication, allows you to understand the customers’ behaviour patterns. It also
aids in understanding the market shifts and fluctuations in price.
5. Data variety
Data not only go through multiple stages of processing; it also comes from various data
sources in different formats. With the analytical use cases in mind, it is logical to extract
the data from their source systems and store them in a centralised depository like a data
warehouse.
CONCLUSION
In conclusion, we would say that the platforms of DataOps can be very useful for data-driven
teams. Organisations can streamline their data with the help of these platforms. They can later
collect, analyse, and use the data. And companies can make use of an IT management tool if
they want to handle their resources effectively and secure their data.

3. Contact Us
Company Name: Enov8
Address: Level 2, 389 George St, Sydney 2000 NSW Australia
Phone(s) : +61 2 8916 6391
Fax : +61 2 9437 4214
Email id: enquiries@enov8.com
Website: https://www.enov8.com/