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

CIO Business Intelligence

Data and big data analytics are the lifeblood of any successful business. 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.

Big Data 126
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The DataOps Vendor Landscape, 2021

DataKitchen

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix. Azure DevOps.

Testing 304
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Top 8 Productivity Tracking Apps That Leverage Big Data

Smart Data Collective

Big data is playing a vital role in productivity optimization in virtually every industry. Countless new tools rely on big data to streamline productivity. Big Data Makes Productivity Technology a Thing of the Future. The good news is that new data analytics tools have helped simplify productivity tracking.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Because Amazon DataZone integrates the data quality results, by subscribing to the data from Amazon DataZone, the teams can make sure that the data product meets consistent quality standards. Lakshmi Nair is a Senior Specialist Solutions Architect for Data Analytics at AWS. She can reached via LinkedIn.

IoT 111
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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). 5) Big Data Exploration. Industry 4.0 2) Roomba (vacuums your house). (3)

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Measure and decide what to do.

Metrics 157
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Multi-Channel Attribution Modeling: The Good, Bad and Ugly Models

Occam's Razor

There are few things more complicated in analytics (all analytics, big data and huge data!) I strongly encourage you to read the post and deeply understand all three and what your marketing and measurement possibilities and limitations are. Test that hypothesis using a percent of your budget and measure results.

Modeling 162