AWS Big Data

MARCH 13, 2024

In this model, the Lambda function is invoked for each incoming event. The repository contains the AWS Serverless Application Model (AWS SAM) template and Lambda code required to try out this solution. Visual layouts in some screenshots in this post may look different than those on your AWS Management Console.

Analytics 91

Analytics IoT Metadata Internet of Things 91

BizAcuity

NOVEMBER 27, 2019

SSRS is a server-based reporting platform that comes free with SQL Server 2012. It is widely used for modeling and structuring of unshaped data. It helps in transforming enterprise data into rich visuals. Migrating SSRS 2012/2014/2016 to Power BI is fine. It also offers a more visual and interactive UI for the reports.

Reporting 52

Reporting Recreation/Entertainment Interactive Data Processing 52

BizAcuity

NOVEMBER 27, 2019

SSRS is a server-based reporting platform that comes free with SQL Server 2012. It is widely used for modeling and structuring of unshaped data. It helps in transforming enterprise data into rich visuals. Migrating SSRS 2012/2014/2016 to Power BI is fine. It also offers a more visual and interactive UI for the reports.

Reporting 52

Reporting Recreation/Entertainment Interactive Data Processing 52

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Data Modelling Patterns 101 using Power Pivot. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Data Modelling Patterns 101 Using Power Pivot. I look forward to seeing you there! SQL Saturday 389, Huntington Beach, California.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Data Modelling Patterns 101 using Power Pivot. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Data Modelling Patterns 101 Using Power Pivot. I look forward to seeing you there! SQL Saturday 389, Huntington Beach, California.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. As the story goes, the general history of DG is punctuated by four eras: “Application Era” (1960–1990) – some data modeling, ?though There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Occam's Razor

SEPTEMBER 21, 2015

Avoid complex visualizations – they get in the way! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. Avoid complex visualizations – they get in the way!

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Occam's Razor

JANUARY 2, 2013

This post is about standard GA reports, but the standard cart/checkout funnel visualization in GA is value deficient. Multi-channel attribution was the flavor of the month for every month in 2012. And just as in 2012 magic pills will be scarce, FUD will be plentiful, and vendors will promise the moon. Mobile Devices Report.

Strategy 159

Strategy Analytics Reporting Metrics 159

Occam's Razor

OCTOBER 15, 2012

The data was collected in the first part of 2012, between January and May for the Barometer and between January and February for the Enumeration. Think of it as attribution modeling. :). In this report you also get this lovely visual: It is a little complicated, but stick with me. What you see is for 2012. We don't.

Advertising 136

Advertising Marketing Strategy Insurance 136

Insight

JANUARY 14, 2020

CNNs have been widely considered state-of-the-art tools for computer vision since 2012, when AlexNet won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). a “pre-trained” model) to be recycled and reused for many different tasks. VGG16 was developed by the “Visual Geometry Group” (VGG) at Oxford.

Metrics 58

Metrics Optimization Modeling Testing 58

Cloudera

NOVEMBER 17, 2021

There’s recognition that it’s nearly impossible to find the unicorn data scientist that was the apple of every CEO’s eye in 2012. Some companies are starting to segregate the responsibilities of the unicorn data scientist into multiple roles (data engineer, ML engineer, ML architect, visualization developer, etc.),

Machine Learning 121

Machine Learning Visualization Data Science Metrics 121

Domino Data Lab

JULY 22, 2019

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” He also really informed a lot of the early thinking about data visualization. Key highlights from the session include. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

SEPTEMBER 29, 2023

Solution overview We explore two distinct techniques that can streamline your XML file processing workflow: Technique 1: Use an AWS Glue crawler and the AWS Glue visual editor – You can use the AWS Glue user interface in conjunction with a crawler to define the table structure for your XML files. Choose Create. Scala 2, Python 3.

Metadata 65

Metadata Visualization Data-driven Optimization 65

AWS Big Data

OCTOBER 23, 2023

Before you run these workloads, most customers run SQL queries to interactively extract, filter, join, and aggregate data into a shape that can be used for decision-making, model training, or inference. This is a simplified model where we don’t need to use AWS Lake Formation data sharing.

Data Lake 98

Data Lake Visualization Optimization Interactive 98

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

IBM Big Data Hub

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. This ability allows AGI to learn and perform any intellectual task that a human being can.

Machine Learning 74

Machine Learning Deep Learning Interactive Modeling 74

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. He’s been out of Wolfram for a while and writing exquisite science books including Elements: A Visual Explanation of Every Known Atom in the Universe and Molecules: The Architecture of Everything.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

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 However, a technology upgrade should be on the cards too, because over the past few years, many employees have effectively upgraded their home spaces, and now employees need to do the same in the office.

Statistics 95

Statistics Sales Visualization Technology 95

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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 However, a technology upgrade should be on the cards too, because over the past few years, many employees have effectively upgraded their home spaces, and now employees need to do the same in the office.

Statistics 89

Statistics Sales Visualization Technology 89

Depict Data Studio

NOVEMBER 4, 2022

I published my first video on November 4, 2012…. Being a full-time YouTuber is an entirely different business model from being a dataviz speaker and course creator. I especially love this lesson on using colored phrases for qualitative data visualization, which I made for Jon Schwabish’s channel. and the rest was history!

Dashboards 75

Dashboards Testing Software Consulting 75

Insight

DECEMBER 30, 2019

As we will see, this fundamental shift in methodology led to a new generation of computer vision models with unprecedented ability. LeNet-5: A classic CNN architecture Since LeNet-5, there have been many different CNN architectures developed over the years, such as AlexNet (2012), GoogLeNet (2014), VGGNet (2014), and ResNet (2015).

Visualization 72

Visualization Modeling Machine Learning IT 72

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling 40

Modeling Statistics Advertising Testing 40

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

O'Reilly on Data

JULY 25, 2023

I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. Here’s how I worked on it: I subscribed to ChatGPT Plus and used the GPT-4 model in ChatGPT (first the May 12, 2023 version, then the May 24 version) to help me with design and implementation.

Consulting 246

Consulting Interactive Software IT 246

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Microsoft also releases Power BI, a data visualization and business intelligence tool.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Insight

DECEMBER 18, 2019

In my last post , we went back to the year 1943, tracking neural network research from the McCulloch & Pitts paper , “ A Logical Calculus of Ideas Immanent in Nervous Activity ” to 2012, when “ AlexNet ” became the first CNN architecture to win the ILSVRC. A visualization of gradient descent. Let’s get started! Figure 7?—?A

Optimization 85

Optimization Machine Learning Testing Visualization 85

Domino Data Lab

MARCH 3, 2019

What’s been the impact of using ML models on culture and organization? Who builds their models? We also used maturity , in other words how long had an enterprise organization been deploying ML models in production? “Three surveys of AI adoption reveal key advice from more mature practices”. Management.

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

Cloudera

DECEMBER 12, 2018

I decided to jump ship in May of 2012 joining Cloudera. And it [MPP] is a much more efficient execution model. With a traditional relational database, you have to do all the upfront data modeling and have very clean data before it even gets into the tables. At that point, there was no publicly known project called Impala.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

Domino Data Lab

SEPTEMBER 25, 2019

One of the most common ways of fitting time series models is to use either autoregressive (AR), moving average (MA) or both (ARMA). These models are well represented in R and are fairly easy to work with. AR models can be thought of as linear regressions of the current value of the time series against previous values.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

CIO Business Intelligence

FEBRUARY 3, 2023

Much of the work is accomplished by dragging and dropping components in a visual designer, but developers can also adjust the system-generated code in an IDE. AI Builder can also create and deploy models that make predictions and even decisions, taking more work off of users’ shoulders. It’s said to be in preview.)

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

datapine

DECEMBER 28, 2021

With the COVID-19 pandemic, the general public was forced to consume scientific information in the form of data visualizations to stay informed about the current developments of the virus. In 2012, the global mean temperature was measured at 58.2 It demonstrates the change in air temperature (Celsius) from 1998 to 2012.

Statistics 363

Statistics Advertising Visualization Data mining 363

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

DataRobot

SEPTEMBER 14, 2021

Since DataRobot was founded in 2012, we’ve been committed to democratizing access to the power of AI. Furthermore, DataRobot works with the full spectrum of unstructured data, and can combine tabular data with text, images, and geospatial information in the same model. Single Platform for All Users.

Unstructured Data 52

Unstructured Data Data-driven Data Processing Modeling 52

Domino Data Lab

SEPTEMBER 9, 2019

We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Getting Started. lemma – a root form of the word.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110

Jet Global

SEPTEMBER 22, 2023

Use Case #1 – Using ChatGPT to Analyze Any Data Set with Logi With the power of ChatGPT, Logi Symphony offers single-click data analysis by extracting insights from visual representations. You can create a button within Logi Symphony that extracts data from charts or visualizations and sends it to ChatGPT for analysis.

Dashboards 52

Dashboards Data-driven Visualization Interactive 52