Python
Python is one of the most popular programming languages in the industry and
is an
essential tool for all data engineers.
Python has gained its popularity as it is easy to learn, and its extreme
versatility is a powerful attribute that makes it a key tool for data
engineers. It’s multi-use function means that data models can be created,
data sets can be systematised, and ML-powered algorithms can be developed;
as well as having the ability to complete various tasks in a short amount
of time. The key benefit of Python is that it helps to reduce development
time, which results in fewer expenses and faster results for companies.
When it comes to the cloud, Python is a popular choice for cloud platform
providers for implementing and controlling their services. Some of the
biggest cloud platforms, namely Amazon Web Services (AWS) and Microsoft
Azure, all accommodate Python users.
Regardless of what sector a data engineer forges their career in, they’re
almost certain to encounter Python along the way.
MongoDB
MongoDB is a key tool for any data engineer as it’s easy-to-use, highly
flexible, and can accommodate a large amount of both structured and
unstructured data. NoSQL databases like MongoDB gained traction among data
professionals thanks to their advanced functionalities that allow them to
seamlessly handle large quantities of data. MondoDB is effective, dynamic
and stores data in simple forms that are easy to understand.
As a data engineer, mastering MongoDB is essential to master as a large
part of your role is
processing huge data volumes, and this is where this tool excels. Its flexible schema makes it as
simple to evolve and store data in a way that helps programmers, making it
a popular choice among many organisations. Expertise in MongoDB can make a
data engineer a crucial cog in any company’s team and increases their
chances of embarking on a
rewarding career journey.
Databand.ai
Databand.ai is a fantastic tool that enables data engineers to track
real-time data metrics from all their tools in a user-friendly dashboard.
This tool is essential as it enables data professionals to follow all of
their
data pipeline
issues such as delays or task failures and solve them quickly.
Databand is an excellent tool for providing visibility throughout your
pipeline and tracking data lakes, allowing you to manage data quality,
freshness, and lineage. It is also extremely effective when it comes to
tracking SLA violations; monitoring the use of resources; and running
checks on your data assets.
This brilliant tool offers seamless integration with a range of popular
data engineering tools such as Apache Airflow. It also features a detailed
documentation library and the tools needed to help you develop your own
custom integrations. Databand can make a world of difference to your
workload by effectively streamlining all of your projects and displaying
them in one place, making it an essential tool to master.
Are you ready to start your data career?
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