Unravel

Palo Alto, CA, USA
2013
May 6, 2021   |  By Floyd Smith
Mastercard is one of the world’s top payment processing platforms, with more than 700 million cards in use worldwide. In the US, nearly 40% of American adults hold a Mastercard-branded card. And the company is going from strength to strength; despite a dip in valuation of more than a third when the pandemic hit, the company has doubled in value three times in the last nine years, recently reaching a market capitalization of more than $350B dollars.
May 6, 2021   |  By Floyd Smith
In a press release delivered today, Unravel Data announced its appearance on CRN’s Big Data 100 list for 2021. Unravel’s entry appears in the Data Management and Integration category. Also featured in this category are other rising stars such as Confluent, Fivetran, Immuta, and Okera, all of whom spoke at new industry conference DataOps Unleashed, held in March.
Apr 27, 2021   |  By Floyd Smith
Cox Automotive is a large, global business. It’s part of Cox Enterprises, a media conglomerate with a strong position in the Fortune 500, and a leader in diversity. Cox also has a strong history of technological innovation, with its core cable television business serving as a leader in the growth and democratization of media over the last several decades.
Apr 23, 2021   |  By Sandeep Uttamchandani
Let’s start with a real-world example from one of my past machine learning (ML) projects: We were building a customer churn model. “We urgently need an additional feature related to sentiment analysis of the customer support calls.” Creating the data pipeline to extract this dataset took about 4 months! Preparing, building, and scaling the Spark MLlib code took about 1.5-2 months!
Apr 21, 2021   |  By Floyd Smith
Adobe is a legendary Silicon Valley company. From the desktop publishing era of the 1980s, powered by the Adobe Postscript page description language, through the creation and marketing of Photoshop, Illustrator, and other creative power tools, the digital revolution is unthinkable without Adobe.
Apr 15, 2021   |  By Unravel Data
The exponential adoption of IT technologies over the past several decades has had a profound impact on organizations of all sizes. Whether it is a small, medium, or large enterprise, the need to create web applications while managing an extensive set of data effectively is high on every CIO’s priority list. As a result, there has been an ongoing effort to implement better approaches to software development, data analysis, and data management.
Apr 14, 2021   |  By Rishitesh Mitra
In this blog post, I’ll set up and run a couple of experiments to demonstrate the effects of different kinds of partition pruning in Spark.
Apr 14, 2021   |  By Unravel Data
Over the past several years, there has been an explosion of different terms related to the world of IT operations. Not long ago, it was standard practice to separate business functions from IT operations. But those days are a distant memory now, and for good reason.
Mar 18, 2021   |  By Unravel Data
Data is often compared to oil – it powers today’s organizations, just like the fossil fuel powered companies of the past. Just like oil, the data that companies collect needs to be refined, structured, and easily analyzed in order for it to really provide value in the form of gaining actionable insights. Every organization today is in the process of harnessing the power of their data using advanced analytics, which is likely running on a modern data stack.
Mar 11, 2021   |  By Sara Petrie
In this episode of CDO Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Meenal Iyer, Sr. Director of Enterprise Analytics and Data at Tailored Brands. They discuss battlescars in two areas, data and metrics: Growing Data Literacy and Developing a Data-Driven Culture and Standardization of Business Metrics.
May 14, 2021   |  By Unravel
In this webinar, Unravel CDO and VP Engineering Sandeep Uttamchandani describes the fourth and final step for any large, data-driven project: the Operationalize phase. You've found your data (Discover phase), readied it for processing (Prep phase), and built out your processing logic and machine learning model(s) (Build phase). Now you need to Operationalize all your work to data as a live project, in production.
Apr 30, 2021   |  By Unravel
Organizations are moving big data from on-premises to the cloud, using best-of-breed technologies like Databricks, Amazon EMR, Azure HDI, and Cloudera, to name a few. However, many cloud migrations fail. Why? And, how can you overcome the barriers and succeed? Join Chris Santiago, Director of Solution Engineering, as he describes the biggest pain points and how you can avoid them, and make your move to the cloud a success.
Apr 2, 2021   |  By Unravel
Databricks is a great solution for customers looking to unlock the powerful use cases that Spark enables, with the high performance of Databricks and the convenience of a managed service. Databricks is available in AWS, Microsoft Azure, and GCP clouds. If you are already a Databricks customer, you want to get the most out of your investment - and if you're considering Databricks, you'll be wondering how hard it is to move to the platform, and how to optimize your investment once you get there.
Mar 25, 2021   |  By Unravel
DataOps.live and Snowflake going stellar with OneWeb (the Global Satellite Network Provider) presented by David Bath, Global VP of Platforms, OneWeb, Justin Mullen CEO, DataOps.live, and Guy Adams CTO, DataOps.live.
Mar 25, 2021   |  By Unravel
Dataops Automation and Orchestration With Fivetran, Dbt, and the Modern Data Stack presented by Nick Acosta, Developer Advocate at Fivetran. Many organizations struggle with creating repeatable and standardized processes for their data pipeline. Fivetran reduces pipeline complexity by fully managing the extraction and loading of data from a source to a destination and orchestrating transformations in the warehouse.
Mar 25, 2021   |  By Unravel
A Modern Data Estate Is the Key to Data-led Digital Transformation presented by Priya Vijayarajendran, VP Data & AI at Microsoft.
Mar 25, 2021   |  By Unravel
Observability of Apache Airflow presented by Ry Walker, Founder & CTO at Astronomer. Apache Airflow has become an important tool in the modern data stack. We will explore the current state of observability of Airflow, common pitfalls if you haven't planned for observability, and chart a course for where we can take it going forward.
Mar 25, 2021   |  By Unravel
Things You May Not Know About Apache Kafka but Should presented by Patrick Druley, Senior Solution Engineer at Confluent. In this session, you will learn about some of the common misconceptions, best practices, and little-known facts about Apache Kafka. Event Streaming has changed the way businesses think about data movement and integration. If you are new to Kafka or having been creating topics and developing clients for years, there's something for everyone in this fun and informative session.
Mar 23, 2021   |  By Unravel
In this webinar, Unravel CDO and VP Engineering Sandeep Uttamchandani describes the second step for any large, data-driven project: the Prep phase. Having found the data you need in the Discover phase, it's time to get your data ready. You must structure, clean, enrich, and validate static data, and ensure that "live," updated or streamed data events are continually ready for processing.
Mar 11, 2021   |  By Unravel
Kafka & Spark data pipelines are ubiquitous in any modern data stack. Developing Spark and Kafka applications have become simpler over the years but operating them in production environments still remains challenging to say the least.
Jan 13, 2020   |  By Unravel
Learn more about AI-powered data operations for modern data applications.
Jan 13, 2020   |  By Unravel
Learn how to simplify Big Data Operations with Application Performance Management.
Jan 1, 2020   |  By Unravel
Learn how Unravel complements Cloudera Manager.
Jan 1, 2020   |  By Unravel
Learn a best practice approach to managing performance and utilization.
Dec 1, 2019   |  By Unravel
Get the visibility you need at each stage of your machine learning application development lifecyle.
Dec 1, 2019   |  By Unravel
Learn how to ensure that streaming data analytics perform reliably.
Dec 1, 2019   |  By Unravel
Application Performance Management isn't a new discipline, but it is a new best practice for Big Data. APM for big data has become a must-have for running big data in production in order to manage performance and utilization of big data applications and platforms.

Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business.

The Unravel Data Operations Platform helps ops engineers, app developers, and enterprise architects reduce the complexity of delivering reliable application performance – providing unified visibility and operational intelligence to optimize your entire ecosystem.

Deliver on the promise of data:

  • Uncover: Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end.
  • Understand: Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not.
  • Unravel: Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare for what’s next – wherever it’s deployed.

Simplify Data Operations for Modern Data Clouds.