AWS Big Data

JUNE 28, 2023

You can perform real-time transaction processing on data in Aurora while simultaneously using Amazon Redshift for analytics workloads such as reporting and dashboards. model) in Amazon Aurora MySQL-Compatible edition. The following diagram illustrates this architecture. Choose Create policy. Run the script to create the tickit.db

Data Warehouse 87

Data Warehouse Analytics Metrics Dashboards 87

Domino Data Lab

APRIL 21, 2021

We’ll use a gradient boosting technique via XGBoost to create a model and I’ll walk you through steps you can take to avoid overfitting and build a model that is fit for purpose and ready for production. Let’s also look at the basic descriptive statistics for all attributes. 3f" % x) dataDF.describe().

Statistics 69

Statistics Machine Learning Modeling Metrics 69

Smart Data Collective

OCTOBER 17, 2022

zettabytes in 2012. Consider the statistics from Domo that the number of home-based workers has increased from roughly 15% 18 months ago to more than 50% now (it was close to 100% at times during the epidemic). Reports and models stutter as they try to interpret the massive amounts of data flowing through them.

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

CIO Business Intelligence

JULY 2, 2022

For example, IDC data shows that 2021 there was a boom in monitor sales, with the highest volume of monitors shipped since 2012, at 143.6 Working from home has been the dominant trend over the past two years, as professionals have embraced the home office to continue working while travel and office interactions were unsafe.

Statistics 98

Statistics Sales Visualization Technology 98

CIO Business Intelligence

JULY 5, 2022

For example, IDC data shows that 2021 there was a boom in monitor sales, with the highest volume of monitors shipped since 2012, at 143.6 Working from home has been the dominant trend over the past two years, as professionals have embraced the home office to continue working while travel and office interactions were unsafe.

Statistics 97

Statistics Sales Visualization Technology 97

Domino Data Lab

AUGUST 8, 2019

Meanwhile, many organizations also struggle with “late in the pipeline issues” on model deployment in production and related compliance. then building machine learning models to recommend methods and potential collaborators to scientists. The real fun begins once models get deployed in production.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

JULY 11, 2017

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

Forecasting 64

Forecasting Statistics Modeling Software 64

AWS Big Data

MARCH 21, 2024

You can continue with your transaction processing on Amazon RDS or Amazon Aurora while simultaneously using Amazon Redshift for analytics workloads such as reporting and dashboards. The following diagram illustrates this architecture. Choose Create policy.

Data Warehouse 90

Data Warehouse Metrics Statistics Optimization 90

Alation

JULY 7, 2022

In 2012 Davenport and Patil declared the data scientist was “ The Sexiest Job of the 21st Century.” LinkedIn’s 2020 Emerging Job Report lists Data Scientist at #3 with 37% annual growth. The Bureau of Labor Statistics projects the job outlook for data scientists to grow 22% from 2020 to 2030. The data scientist.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Depict Data Studio

NOVEMBER 4, 2022

I published my first video on November 4, 2012…. ” I’d been a formal statistics tutor and Spanish tutor in college through a small invite-only program. Being a full-time YouTuber is an entirely different business model from being a dataviz speaker and course creator. and the rest was history! My Latest YouTube Stats.

Dashboards 75

Dashboards Testing Software Consulting 75

The Unofficial Google Data Science Blog

MAY 31, 2016

Statistical power is traditionally given in terms of a probability function, but often a more intuitive way of describing power is by stating the expected precision of our estimates. This is a quantity that is easily interpretable and summarizes nicely the statistical power of the experiment.

Advertising 42

Advertising Testing Sales Statistics 42

Domino Data Lab

MARCH 3, 2019

We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports. Seriously, this entire article merely skims the surface of those reports. What’s been the impact of using ML models on culture and organization?

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Sisense

DECEMBER 11, 2019

And he explained that the leap to visual-based data discovery put analytics in the hands of data experts working in different lines of business, rather than in IT, where bottlenecks could previously occur, and reporting could take much longer. From a startup in 2012, it is now valued at $3.2 A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Occam's Razor

SEPTEMBER 21, 2015

The difference between a Reporting Squirrel and Analysis Ninja? Do you see how far away a Reporting Squirrel's job is from that of an Analysis Ninja? We send out our multi-tab spreadsheets, our best Google Analytics custom reports , our great dashboards full of data , and more to the tactical layer of data clients.

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

datapine

DECEMBER 28, 2021

1) What Is A Misleading Statistic? 2) Are Statistics Reliable? 3) Misleading Statistics Examples In Real Life. 4) How Can Statistics Be Misleading. 5) How To Avoid & Identify The Misuse Of Statistics? If all this is true, what is the problem with statistics? What Is A Misleading Statistic?

Statistics 363

Statistics Advertising Visualization Data mining 363

Occam's Razor

JANUARY 10, 2011

10% of your time should be spent in implementing tools, not 15 months with an eye towards analysis in the middle of 2012. And possess at least some knowledge of the fundamentals of statistics. Here's the amazing thing: everyone else who got all those reports thought I was quite simply magnificent. Stop switching tools!

Analytics 120

Analytics Measurement Data-driven Optimization 120

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. For example, in a July 2018 survey that drew more than 11,000 respondents, we found strong engagement among companies: 51% stated they already had machine learning models in production.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

CIO Business Intelligence

FEBRUARY 3, 2023

Major features: Open-source edition; tighter integration with AI for contextual and visual processing Major use cases: Supply chain management, financial transactions Fortra Automate The RPA tools from Fortra (formerly HelpSystems) tackle business tasks ranging from responding to inquiries to generating reports. It’s said to be in preview.)

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

datapine

MAY 17, 2021

Businesses can benefit from improved data driven decision making as well as enhanced business processes and models and share insights across departments more fluently while propelling intelligent business strategies. What is a discovery model, and how do you use it in a real-world business context? So, what is data discovery?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

1]" Statistics, as a discipline, was largely developed in a small data world. More people than ever are using statistical analysis packages and dashboards, explicitly or more often implicitly, to develop and test hypotheses. This question is statistical or methodological in nature. Know what matters.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Edwin Chen

JANUARY 7, 2013

debates — Romney’s Binder (@RomneysBinder) October 17, 2012. We’ll describe a novel real-time human computation engine we built that allows us to find search queries as soon as they’re trending, send these queries to real humans to be judged, and finally incorporate these human annotations into our backend models.

Statistics 73

Statistics Machine Learning Advertising Metadata 73