Blog

   Collaborate across your team using ZeplVIDEOLearn how to collaborate, share, and comment across models, results, and insights in a secure, consistent way.

    (Video) Visualize your Data in Zepl Learn how to visualize your data using Zepl’s built-in Plotly editor or the library of your choice. Watch Now       (Blog) Why Data Science Teams Prefer Zepl over Jupyter Grover Righter, Consulting Data Scientist with Zepl, discusses using Zepl and Jupyter in companies ranging from…

  Introducing Notebook Accelerators Now you can jump start on your projects with fully-configured notebooks for a variety of use cases. Try these notebooks with the sample data provided, or use your own. Default Loan Predictions: Reduce risk by predicting the likelihood that a borrower will not repay. Fantasy Baseball Predictions: Run your own Fantasy…

  Customer Success Story Embrace Home Loans Doubles Its Return on Marketing Investment with DataRobot Zepl When Embrace Home Loans sought to optimize its marketing spend, the lender used DataRobot Zepl to eliminate 43 million lines of code and run real-time SQL queries on its Snowflake data. This lets the lender improve models quickly –…

  Product   Use Images to Manage Notebook Dependencies Take the hassle out of sharing notebooks by using DataRobot Zepl images, a pre-built environment with all the libraries and settings your team needs for reproducible data science. General Purpose – Fall 2021 Image Plotly (5.1.0) Snowpark (0.8.0) DataRobot (2.25.1) hdbcli (2.9.28) IRkernel (1.2) Enhanced Job…

  Product   Zepl’s Code-Based Notebook Integration to DataRobot Zepl has pre-built notebooks with all the code you need to connect to DataRobot using Python or R with the latest DataRobot API (2.25.1). Get the notebooks in Zepl’s Notebooks Documentation here. General Purpose – Summer 2021 Image (Limited Preview) Support for Snowflake Snowpark 0.8.0 Updated…

One of the biggest shortcomings of open source notebooks is the lack of sharing and collaborating capabilities. It is common practice to put several install commands at the beginning of a notebook or script to help ensure that others will be able to recreate your analysis. Unfortunately, these libraries are not shared when the notebook…

  Zepl Has Been Acquired By DataRobot!   Big news! Zepl has been acquired by DataRobot, the leader in enterprise AI, to bring Zepl’s code-based notebook capabilities to the DataRobot platform. In order to be the winner of the AI market, we must embrace the multiple personas who create AI systems — from analysts and…

    Read TechCrunch coverage of the acquisition Read VentureBeat coverage of the acquisition   Press Release below: Self-service notebook experience facilitates additional democratization of AI and collaboration for AI projects    May 11, 2021 – BOSTON – DataRobot, the leader in enterprise AI, today announced the acquisition of Zepl, a cloud data science and analytics platform. The…

Product Updates   Publish Paragraph Feature Now you can publish the results of a Zepl paragraph through an iFrame to non-Zepl users, making your insights available to anyone on your website or intranet. Learn More   Org Switcher Ideal for data science teams working with several clients or teams who want to keep their work…

The most effective way to tell a story of your data is to visualize it with charts and graphs.  Some of the more popular visualization libraries for Python, Spark, and R are Matplotlib, Seaborn, Plotly, and ggplot2.  Zepl supports the use of all these visualization libraries and using them in the Zepl notebook is the…

What is the Zepl Job Scheduler? Zepl’s provides a cloud-hosted scheduler that spins up containers or clustered resources to execute your Jupyter or Zeppelin notebooks on a user-defined schedule. Users can monitor their job statuses to never miss a failed job again. Why Use the Zepl Job Scheduler? If you maintain open source tools or…

Spring is here (finally!)   We hope you’re enjoying longer daylight and warmer temperatures after what seemed to be the longest winter ever. Below are some new features and events that our team has been working on.   Product Updates   Outline Feature Easily organize, navigate and share your notebooks with Zepl’s outline feature. Zepl…

Perseverance wins Many thanks to NASA for bringing out the space geek in all of us! Although Zepl hasn’t made it to Mars yet, we’re excited to show you what we’ve been up to lately.   Product Updates   Expanded Authentication and SSO Providers Zepl now supports protocols including OpenID, SAML and CAS. We make…

Summary This blog describes the steps a customer should go through once they’ve decided to move from a Free Trial into Production, including both recommended steps and some optional steps. This blog includes references to a checklist, worksheets, and key documentation that is helpful to configuration and setup. Full Post So you’ve completed your Zepl…

Make Your Life Easier (And More Secure) Tired of sending Jupyter notebooks to your teammates via email or dealing with git merge conflicts? Looking for somewhere to host your notebooks with zero setup and with the option to execute the code? Zepl provides the quickest way to share your Jupyter notebooks through a simple URL.…

I have had 40 Zoom calls with data science teams from various industries: asset management, healthcare, e-commerce, adtech, NBA teams and more. One of the most common challenges that they brought to us was around collaboration, and there are 3 main types of collaboration problems that emerged. Coder – to – coder Coder – to…

Looking forward to a great year We’re gearing up for some awesome new product enhancements and use cases in 2021, including introducing Spark clusters and a native SAP integration. Read more about it below, including a new blog on the 2021 Trends in Data Science.   Product Updates   Announcing Spark Clusters Preview Data scientists,…

As we welcome in 2021, we wanted to share with you what’s around the corner in data science, and how can you take advantage of these trends to build your business or career. Explosion of Python Projects The first trend we’re seeing in the data science world is an explosion of Python projects. Python is…

Here’s to 2021! As we all look forward to turning the calendar to a new year, we wanted to thank you for your business and partnership throughout 2020, and to share some of our end-of-the-year updates with you.   Product Updates   Scheduled Jobs Zepl users can schedule individual notebooks to execute at regular intervals…

Problem Oftentimes data science teams build their own custom libraries and store them in common repositories such as Artifactory or Github. These libraries are the culmination of many hours of work and are critical for the data science process. The inevitable need to move from local notebook development environments to cloud-based resources is pushing teams…

San Jose CA – October 20: Zepl, the data science platform built for the cloud, today announced it has achieved Elite Status in the Snowflake Partner Network. This achievement recognizes Zepl’s track record for delivering data science capabilities to customers on Snowflake’s platform. This is the third milestone between Zepl and Snowflake, following the inclusion…

“Zepl’s data science and analytics platform helps you unlock insights hidden deep within your data by analyzing multiple data sets using data science & machine learning algorithms.” — Snowflake Data-driven organizations are looking to consume as many data sources as possible to fuel their marketing analytics initiatives. Marketing analytic software is seeing exponential growth in data sources…

“According to QuanticMind, 97% of leaders believe that the future of marketing lies in the ways that digital marketers work alongside machine learning-based tools.” — Digital Marketing Institute WORKING WITH CRM (B2B) CAMPAIGNS In B2B marketing, enterprise companies use Customer Relationship Management (CRM) software such as Salesforce, Oracle, and SugarCRM to keep records of contacts in business…

Zepl has solved one of the most challenging issues around sharing open source notebooks — providing a consistent development and production environment for running and deploying notebooks. This challenge causes data science and data engineering teams to waste hours of time focused on infrastructure configuration and maintenance.   Custom Images An image in Zepl defines…

Now that remote work has become the norm, companies are grappling with how to manage their data science assets securely in this new #WFH environment. For many companies, GitHub repositories may seem to be an obvious option for collaboration among remote employees. GitHub is great for storing and sharing code, but not for storing and…

SAN JOSE CA, June 16, 2020 – Zepl, the data science platform built for your cloud data warehouse, today announced that it has deepened its technical integration with Snowflake by utilizing Snowflake’s 2.6 Spark Connector in Zepl’s SaaS product. This new integration dramatically improves performance when accessing data for analysis and minimizes costs. According to…

We are excited to announce that Zepl has joined the Snowflake Data Marketplace. Zepl’s data science and analytics platform brings predictive analytics and machine learning to  Snowflake users in minutes. Snowflake customers are using Zepl to answer the hard questions around what is the “new normal” for interacting with customers, employees and suppliers.  Taking COVID-19…

Note: This blog post was originally published by Jonathan Sander, Security Field CTO for Snowflake and published on Snowflake’s blog. We’re grateful that Jonathan “likes to call out when partners have done the right thing.”   An interesting aspect of being a security specialist in a cloud data platform company is I often sit in…

All of us are adjusting and adapting to the latest developments related to the Coronavirus during this very difficult period and at Zepl we want to be sure that our plans and status are transparent to our employees, customers and partners. Our entire leadership team is closely tracking the latest developments and we are making any…

We’re excited to announce that we are the first machine learning and data science partner in Partner Connect! Now Snowflake users can quickly create a free Zepl trial and connect Zepl to their Snowflake data immediately. They can use Zepl to explore data, build models and create visualizations to gain insights and make model-driven decisions…

Watch Zepl CTO Moon Lee and Sr. Product Manager Louis Huard present “The Holy Grail of Data Science: Rapid Development and Deployment” at a recent meetup. We were also fortunate to have Parag Shrivastava, Sr. Director of Data & Analytics, McKesson and formerly of Deloitte discuss “Leverage AI and Machine Learning To Grow New Markets…

The cloud-built Snowflake data warehouse and cloud data science platform support Yonder’s quest to help Fortune 500 brands contextualize online conversations SAN MATEO, Calif. – December 10, 2019 – Snowflake, the data warehouse built for the cloud, and Zepl, the data science platform built for the cloud, today announced that joint customer Yonder uses their…

New partnership enables customers to analyze Snowflake data at scale in just minutes SAN JOSE, Calif., June 27, 2019 (PR Newswire) – Zepl, the data science and analytics platform, and Snowflake Inc., the only data warehouse built for the cloud, today announced a new partnership that enables Snowflake customers to accelerate the ROI on their…

Today we are proud to announce our partnership with Snowflake! Zepl’s powerful Data Science as a Service (DSaaS) platform built for the cloud complements Snowflake’s highly scalable cloud data warehouse, enabling Snowflake customers to accelerate the ROI on their enterprise data warehouse solutions with machine learning and artificial intelligence capabilities. Digital transformation and innovation have…

Ever wonder how to extend the visualization features in Zeppelin? In this session Ken Ibrahim, a Solutions Architect at Zepl, will show you how to load/unload a pluggable Apache Zeppelin package at runtime using Zeppelin’s Helium framework.  

Ever wonder how iPython and Apache Spark integrate with Apache Zeppelin? Join us for this week’s TGI Zeppelin. Moon covers Apache Spark and Python interpreters and discusses architecture as well as tips and tricks.  

Zeppelin can run on clusters managed by Kubernetes container orchestration, allowing interpreters to scale out very easily. Moon Lee demonstrates how Zeppelin creates a new container for each individual interpreter and shows how the Spark interpreter can be automatically configured to use Spark on Kubernetes in client mode.  

MOUNTAIN VIEW, CA (July 12, 2018) – ZEPL, the collaboration platform built for data science teams by the creators of Apache Zeppelin, today announced the launch of an expanded enterprise offering as well as new funding from SoftBank Ventures Korea, the early stage venture arm of SoftBank Group. ZEPL (pronounced “ZEP-pull”) helps companies of all…

We had our first ZEPL big data conference in Seoul focusing on data usage, technologies, processes, and culture. Why in Seoul, Korea? Besides the obvious roots many of us have here, unlike the US, conferences around data tech, process, and overall data culture are far and few between. In addition, we wanted to cater to…

Cloud-native architecture is revolutionizing the way we design, implement, and deploy software. Here at ZEPL, we are fully embracing this modern approach, utilizing Kubernetes, containers, and scalable microservice architecture to create the foundation for the next generation of data analytics. Kubernetes is an open source platform that provides many powerful features for managing modern containerized…

  In the late ’90s and early 2000s, the Agile Software Development movement completely changed how individuals and corporations performed software development. This change from a monolithic, waterfall style of development to a more rapid, iterative approach helped developers focus more on problem solving, collaboration, and innovation. Simply doing a Google search for “Agile Development”…

From one of our Apache Zeppelin contributors — — — Hi, users. A few months ago the community started to create official docker image for Zeppelin. As of 0.7.2, release process includes building docker image. Thus, every release can ship its own docker image. You can test the docker image for 0.7.2 with this command. docker run…

We’re seeing more and more people trying to use Zeppelin on EMR with YARN but having some challenges with the setup. Here’s a tried and true set of instructions for multi-tenant environment setup with Zeppelin: 1. Create EMR cluster with Hadoop / Spark / Zeppelin enabled. Create EMR cluster using CLI or web console with…