Data Science Dojo is offering Apache Zeppelin for FREE on Azure Marketplace packaged with pre-installed interpreters and backends to make Machine Learning easier than ever.
Introduction
How cumbersome and tiring it is to install different tools to perform your desired ML tasks and then look after the integration and dependency issues. Already getting headaches? Worry not, because Data Science Dojo’s Apache Zeppelin instance fixes all of that. But before we delve further into it, let’s get to know some basics.
What are Machine Learning Operations?
Machine Learning is a branch of Artificial Intelligence that deals with models that produce outcomes based on some learned pre-existing data. It provides automation and reduces the workload of users. ML converges with Data Science and Engineering and that gives birth to some necessary operations to be performed to acquire the output of any task.
These operations include ETL (Extraction, Transform, Load) or ELT, drawing interactive visualizations, running queries, training and testing ML models and several other functions.
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Challenges for individuals
Wanting to explore and visualize your data but not knowing the methodology of the new tool is not only a red flag but also demands extraneous skills to be learnt to proceed with your job. Or you would have to switch among different environments to achieve your goal which is again – time-consuming, and needless to say time is of the essence for data scientists and engineers when they must deliver a task.
In this scenario, switching from one tool to another which you may know how to use or may not, is time and cost intensive. What if a data driven interactive environment having several interpreters ready to be worked with in one place is provided and you just select your favorite language and break the ice?
ML Operations with Apache Zeppelin
Apache Zeppelin is an open-source tool that equips you with a web-based notebook that can be used for data processing and querying, handling big data, training and testing models, interactive data analytics, visualization, and exploration. Vibrant designs and pictures generated can save time for users in the identification of key patterns in data and ultimately accelerates the decision-making processes.
It contains different pre-installed interpreters but also allows you to plug in your own various language backends for desirability. Apache Zeppelin supports many data sources which allow you to synthesize your data to visualize into interactive plots and charts. You can also create dynamic forms in your notebook and can share your notebook with collaborators.
(Picture Courtesy: https://zeppelin.apache.org/ )
Key features
- Zeppelin delivers an optimized and interactive UI that enhances the plots, charts, and other diagrams. You can also create dynamic forms in your notebook along with other markdowns to fancify your note
- It’s open-source and allows vendors to make Zeppelin highly customized according to use-case requirements that vary from industry to industry
- The choice to select a learned backend from a variety of pre-installed ones or the feasibility to add your own customizable language adds to the user-friendliness, flexibility, and adaptability
- It supports Big Data databases like Hive and Spark. It also provides support for web sockets so you can share your web page by echoing the output of the browser and creating live reports
- Zeppelin provides an in-build job manager who keeps track of the condition or status of various notebooks
What Data Science Dojo has for you
Our Zeppelin instance serves as a web-accessible programming environment with miscellaneous pre-installed interpreters. In our service users can switch between different interpreters like processing data with python and then visualizing it by querying with SQL. The pre-installed backends provide the feasibility to perform the task using your accustomed language instead of learning a new tool.
- A web-accessible Zeppelin environment
- Several pre-installed language-backends/interpreters
- Various tutorial notebooks containing codes for understandability
- A Job manager responsible for monitoring the status of the notebooks
- A Notebook Repos feature to manage your notebook repositories’ settings
- Ability to import notes from JSON file or URL
- In-build functionality to add and modify your own customized interpreters
- Credential management service
Our instance supports the following interpreters:
- Alluxio
- Angular
- Beam
- BigQuery
- Cassandra
- Elasticsearch
- File
- Flink
And many others which you check by taking a quick peek here: Zeppelin on Market Place
Conclusion
Efficient resource requirement for processing, visualizing, and training large data was one of the areas of concern when working on traditional desktop environments. The other area of concern includes the burden of working with non-familiar backends or switching among different accustomed environments. With our Zeppelin instance, both concerns are put to rest.
When coupled with Microsoft Azure services and processing speed, it outperforms the traditional counterparts because data-intensive computations aren’t performed locally, but in the cloud. You can collaborate and share notebooks with various stakeholders within and outside the company while monitoring the status of each
At Data Science Dojo, we deliver data science education, consulting, and technical services to increase the power of data. We are therefore adding a free Zeppelin Notebook Environment dedicated specifically for Machine Learning and Data Science operations on Azure Market Place. Don’t wait to install this offer by Data Science Dojo, your ideal companion in your journey to learn data science!
Click on the button below to head over to the Azure Marketplace and deploy Apache Zeppelin for FREE by clicking on “Get it now”.
Note: You’ll have to sign up to Azure, for free, if you do not have an existing account.
