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Enhance your analytics embedding experience with the new Amazon QuickSight JavaScript SDK

AWS Big Data

Additionally, there are major rewrites to deliver developer-focused improvements, including static type checking, enhanced runtime validation, strong consistency in call patterns, and optimized event chaining. The following eventNames and eventCodes are returned as part of the onChange callback when there is a change in the SDK code status.

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. Ineffective dashboards can be easily updated to focus on business needs.

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

Digital Analytics Ecosystem: Optimal Execution: Three Phases. Digital Analytics Ecosystem: Optimal Execution: Timing Expectations. You need to slice! You need to dice! Repeat after me: Slice, dice, drill!! Each bucket has a host of specific segments for you. Digital Analytics Ecosystem: The Inputs.

Analytics 150
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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

The Design Lab is one half to two day engagement with customer team offering prescriptive guidance to arrive at the optimal solution architecture design before you embark on building the platform. Operational dashboards are hosted on Grafana integrated with Druid. External lookup – Looking up a value from external stores.

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Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

By sustaining 30 Queries per Second (QPS) right off the bat, SMG was confident Hive LLAP could support the required concurrency with just a few optimizations. . Specifically, the busy hour simulation clearly identified that 95% of the legacy data warehouse queries could run on Hive LLAP with minor tweaks.

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Simplify data loading into Type 2 slowly changing dimensions in Amazon Redshift

AWS Big Data

Dimensions provide answers to exploratory business questions by allowing end-users to slice and dice data in a variety of ways using familiar SQL commands. However, declaring them will help the optimizer arrive at optimal query plans, provided that the data loading processes enforce their integrity.

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Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

The Directors, the Marketers, the Optimization employees and our resident social media gurus. You can cut yourself with it and embarrass yourself, or you can look the very best you ever have by using it optimally. We still live in an world where we are optimize for single visit sessions. Or, any host of issues?