The Best Data Orchestration Tools that Businesses should be aware

What is Data Orchestration?

Data Orchestration is the procedure that gathers, combines, and organizes data. Moreover, the data collected are from multiple sources and are processed for analysis.

Most importantly, data orchestration offers solutions to automate and streamline data. As a result, this process enables businesses to make calculated decisions. 

The tools that execute data orchestration connect the storage systems. Hence, it makes it easier for data analysis tools to access the systems as and when required.

Key Steps in Data Orchestration

Data Orchestration provides solutions for various challenges. As a result, challenges in data fragmentation, organizational silos, tech integrations, etc. are resolved. 

Most importantly, data orchestration tools require specific prerequisites to function smoothly. Hence, here are the key steps for an efficient data orchestration process:

• Collection:

Data collection is an important step in data orchestration. Here, data orchestration tools collect and gather data in real-time from various authorized sources.

• Transformation:

Hence, once the data is collected it is processed to change the format and language. Most importantly, data needs to be transformed into the desired state for a single data layer. As a result, transforming the data is an important step in data orchestration.

• Advancement and Combining:

Consequently, once the data is collected and transformed into a single data layer, it is time to combine and categorize the data. Moreover, the data becomes advanced and easy to use once categorized.

However, the agenda is not to just link the data. But, to provide a sense to the data and turn them into actionable information.

As a result, this step qualifies the data to easily comprehend and apply for actionable insights. 

• Activation:

Hence, the data is put through all the steps and is ready for real-time integrations. Here, data orchestration tools initiate the data to be assessed by data analysis tools.

Moreover, the data is synchronized with the associated data lakes and warehouses. As a result, making the data available for real-time analysis and strategy-making processes.

Why use Data Orchestration?

Most Importantly, data orchestration and its tools are a pivotal aspect of data management. Here are the reasons why:

• Businesses may find managing data time-consuming and cost inducive. Hence, data orchestration and its tools offer solutions to manage and maintain data efficiently and at a limited cost.
• Moreover, businesses utilize multiple data sets and systems that require great migrations and additional storage locations. This is where data orchestration tools help gather, collect and prepare the data for analysis. 
• Most importantly, data orchestration tools help with compliance and privacy laws. As a result, businesses need to adhere to GDPR, CCPA, etc to prove that there is ethical data gathering.
• Above all, data orchestration tools eliminate bottlenecks that stagnate the process of analysis. 
• Moreover, the data is standardized which eliminates the manual transformations that avoid human errors.
• Consequently, data orchestration tools optimize the process. As a result, it saves time and automates the steps to prepare the data for analysis.
• Moreover, it enforces and implements data governance strategies. Most importantly, it is a pivotal aspect of data governance. As a result, data governance provides data credibility improving data analysis.

Here are the Best Data Orchestration Tools that Businesses Should Employ:

Apache Airflow

Apache Airflow is free and open-source software. It is one of the best data pipeline orchestration tools.

Mostly, it is a scalable, dynamic, extensible, and elegant tool for data pipeline orchestration. Consequently, the tool was created by a community of developers to automate, schedule, and monitor workflows.

Above all, it offers robust integration with Google Cloud Platform, AWS, Microsoft, etc. In addition to data orchestration, it helps build ML models, manages infrastructure, etc.

Metaflow

Netflix built Metaflow to leverage its human-centric data orchestration capabilities. Above all, it is a python-based data orchestration tool that allows the implementation of DAGs.

Moreover, Metaflow is an intricately designed tool. As a result, data and models are stored as normal Python instance variables.

Furthermore, it helps manage data and enhance the productivity of several data scientists that work on various projects.

BMC Multi-Cloud Management

BMC Multi-Cloud Management is a cloud platform that offers data orchestration services. Similar to data orchestration tools, it manages multiple clouds and their data.

Moreover, it simplifies data for multi-cloud storage. As a result, creating and executing a hassle-free data migration process for analysis.

It certainly assists in data governance to comply and secure the data. Hence, it helps create better products and solutions while orchestrating the data and managing the cloud infrastructure.

Stitch

Stitch is another tool that offers data pipeline orchestration. As a result, it offers transparency and control over data pipelines.  

Moreover, it offers data orchestration features to manage data while it flows through sources. Therefore features like scheduling, error-handling, logging, and monitoring help orchestrate, replicate and monitor data.

K2View

K2View is one of the most unique and flexible data orchestration tools. As a result, it unifies, transforms, and enriches data. 

Most importantly, it provides data at the required speed of the business. Above all, it orchestrates complex data flows from any source.

Furthermore, K2View transforms and unifies fragmented data from pre-built systems. Hence, it also creates microservices that deliver data results in real time.

Prefect

Perfect is an open-source and lightweight data orchestration tool. It certainly runs and monitors various data flows.

Moreover, it offers solutions to maintain and inspect the state and progress of the activity. Furthermore, it offers a ready-to-use setup that automates the process and makes the flow of orchestration easy.

Hence, Prefect offers a unique hybrid execution model for confidential data. As a result, providing automatic, asynchronous scheduling and managing alerts for orchestration services.