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Faster data exploration in Jupyter through Lux

Domino Data Lab

They offer a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices , can also become living documents of how that code operates. Notebooks have become one of the key primary tools for many data scientists.

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6 Principles to Make your Data Story Stick

Juice Analytics

This is the (Juicebox) Way: We made drill-down exploration the default model for the user experience. Data visualizations are automatically connected together, so slicing-and-dicing is de-facto. Rather than “telling” with a static data presentation, when you offer the ability to explore data together, it builds trust.

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Data Storytelling: What's Easy and What's Hard

Juice Analytics

Here are 25 more lessons we've learned (the hard way) about what's easy and what's hard when it comes to telling data stories: Easy: Picking a good visualization to answer a data question Hard: Discovering the core message of your data story that will move your audience to action Easy: Knowing who is your target audience Hard: Knowing what motivates (..)

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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Figure 1: Rill and Cloudera Architecture. Top-N queries.

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Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

With self-service dashboards, citizen data analysts can build live data models and dashboards without code, and business teams can use dashboards to slice, dice, and drill into anywhere to answer questions autonomously. Additional capabilities.

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

All in a distributed cloud model that spans multi-public, private & edge clouds. . Across my discussions with customers and prospects, a hybrid environment is the dominant model present or evolving in financial services firms. Orchestration and management of automated workflows . Hybrid Data Cloud includes a Multi-cloud approach.

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Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

Machine learning and predictive modeling allowed the company to use complex historical warranty claim and cost information, previous and new product attributes, and forecasting data to create a predictive data model for future warranty costs. With a tool like Sisense, it changes the game altogether.”.