Remove Dashboards Remove Data Warehouse Remove Experimentation Remove Measurement
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The top 15 big data and data analytics certifications

CIO Business Intelligence

Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications. The number of data analytics certs is expanding rapidly.

Big Data 124
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What is a DataOps Engineer?

DataKitchen

Data operations (or data production) is a series of pipeline procedures that take raw data, progress through a series of processing and transformation steps, and output finished products in the form of dashboards, predictions, data warehouses or whatever the business requires. Measure success.

Testing 152
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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

If you ask an engineer to show how they operate the application in production, they will likely show containers and operational dashboards—not unlike any other software service. Data is at the core of any ML project, so data infrastructure is a foundational concern. This approach is not novel.

IT 347
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How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. This data needs to be seamlessly joined in the analytics he wants to provide to the researchers he will support. The Vision of a Discovery Data Warehouse.

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The DataOps Vendor Landscape, 2021

DataKitchen

QuerySurge – Continuously detect data issues in your delivery pipelines. ICEDQ — Software used to automate the testing of ETL/Data Warehouse and Data Migration. Naveego — A simple, cloud-based platform that allows you to deliver accurate dashboards by taking a bottom-up approach to data quality and exception management.

Testing 300
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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). our measurement strategies 2. success measures. Likely not.

Analytics 118
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Web Analytics: Frequently Asked Questions And Direct Answers

Occam's Razor

Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. Additionally, it is exceptionally difficult to measure available demand because 1. because the data is so very not available. No accountability = very little desire to measure.