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Data Quality Dimensions: How Do You Measure Up? (+ Downloadable Scorecard)

Precisely

Virtually every business leader understands just how valuable data can be for driving innovation, increasing revenue, improving customer satisfaction, optimizing processes, and achieving compliance. That starts with good data quality, contextual richness, integration, and sound data governance tools and processes.

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Use Python to Download Multiple Files (or URLs) in Parallel

Towards Data Science

Obtaining these data is often frustrating because of the download (or acquisition burden). Fortunately, with a little code, there are ways to automate and speed-up file download and acquisition. Automating file downloads can save a lot of time. There are several ways to automate file downloads with Python.

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Streaming Ingestion for Apache Iceberg With Cloudera Stream Processing

Cloudera

It allows multiple data processing engines, such as Flink, NiFi, Spark, Hive, and Impala to access and analyze data in simple, familiar SQL tables. The CSP engine is powered by Apache Flink, which is the best-in-class processing engine for stateful streaming pipelines. Currently, Iceberg support in CSP is in technical preview mode.

Process 115
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Change Control Process: Benefits, Examples, and Templates

Knowledge Hut

The change control process is a crucial aspect of project management intended to manage and regulate changes made to the project plan, schedule, and budget. These change control process steps are planning, analyzing, approval, testing, implementing, and closing. The change request kickstarts the process of change control.

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Drive Better Decision-Making with Data Storytelling

A good data story is formed by three components: Data analysis - This is the basis of a strong story and mastering the data is an essential part of the process. Visualizations and insights are supported by a narrative that helps to expedite the decision-making process.

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5 Factors to Consider When Choosing a Stream Processing Engine

Cloudera

Are you using the right stream processing engine for the job at hand? but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Specifically, the whitepaper analyzes the technical and operational differences between modern processing engines from the Apache open source community.

Process 102
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Getting Started with Cloudera Stream Processing Community Edition

Cloudera

Cloudera has a strong track record of providing a comprehensive solution for stream processing. Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. Cloudera Stream Processing Community Edition.

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7+ Graphics Libraries to Enhance Your Embedded Analytics

You’ll learn: Seven graphics libraries developers can use to enhance in-app analytics Easy-to-use wireframe tools to help the design and approval process The importance of modernizing your embedded analytics Download the e-book to learn about the seven-plus graphics libraries to enhance your embedded analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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BI Buyers Guide: Embedding Analytics in Your Software

This exhaustive guide with a foreword from BI analyst Jen Underwood dives deep into the BI buying process and explores how to decide what features you need. Download the guide today, and get an evaluation framework for every technical and non-technical requirement that you could imagine. Don't go into the fray unarmed.