AWS Big Data

OCTOBER 23, 2023

Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer. We cover some common and advanced SQL commands used in Spark SQL, and show you how to use Python to extend your functionality with user-defined functions (UDFs) as well as to visualize queried data.

Data Lake 104

Data Lake Visualization Optimization Interactive 104

AWS Big Data

OCTOBER 31, 2023

Customers rely on data from different sources such as mobile applications, clickstream events from websites, historical data, and more to deduce meaningful patterns to optimize their products, services, and processes. If you’re testing on a different Amazon MWAA version, update the requirements file accordingly.

Data Processing 92

Data Processing Management Publishing Testing 92

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. Each variant is called an “optimizer.”

Optimization 85

Optimization Machine Learning Testing Visualization 85

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. You can test this solution yourself using the AWS Samples GitHub repository. Visual layouts in some screenshots in this post may look different than those on your AWS Management Console. detail.EventType TrackerName: $.detail.TrackerName

Analytics 97

Analytics IoT Metadata Internet of Things 97

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. The company also has systems optimized for industries such as supply chain management ( TradeEdge ) or banking. AI tools provide optical character recognition for documents.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

Occam's Razor

DECEMBER 3, 2012

We like to believe that all there is to digital marketing is to do some search engine optimization, send out an email blast every once in a while, get our agency to create a flash-heavy "brand experience" website, or slap together a mobile app in the corporate-approved shade of eggshell white. So what do you have? Almost no pimping.

Marketing 147

Marketing Advertising Strategy Optimization 147

AWS Big Data

APRIL 20, 2023

We can also see the temporary data stored on Amazon S3 in the optimized Parquet format. After the job run completes successfully, you can verify the output of the table test-glue created by the AWS Glue job. This optimization results in required data being retrieved, so Apache Spark can process less data and have better performance.

Data Lake 80

Data Lake Data Warehouse Sales Data-driven 80

Domino Data Lab

SEPTEMBER 25, 2019

Fortunately, the forecast package has a number of functions to make working with time series data easier, including determining the optimal number of diffs. predict(usBest, n.ahead=5, se.fit=TRUE) $pred Time Series: Start = 2012 End = 2016 Frequency = 1 [1] 49292.41 Figuring out the correct number of diffs can be a tiresome process.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

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). Choosing your loss function and optimizer Finally, in the last block of code, we must compile the model that we just built. Does anything look fishy to you…?

Metrics 58

Metrics Optimization Modeling Testing 58

O'Reilly on Data

JULY 25, 2023

To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022. This choice also inspired me to call my project Swift Papers.

Consulting 245

Consulting Interactive Software IT 245

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. In this report you also get this lovely visual: It is a little complicated, but stick with me. What you see is for 2012. The Analysis: Four Insightful Options. We don't.

Advertising 136

Advertising Marketing Strategy Insurance 136

The Unofficial Google Data Science Blog

MARCH 31, 2016

Often our data can be stored or visualized as a table like the one shown below. both L1 and L2 penalties; see [8]) which were tuned for test set accuracy (log likelihood). On each of the ten segments the random effects model yielded higher test-set log likelihoods and AUCs, and we display the results in the figure below.

Modeling 40

Modeling Statistics Advertising Testing 40

Domino Data Lab

MARCH 3, 2019

I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. Note how model visualization is bubbling up to the top, which has implications for model interpretability, cyber threats, etc. Seriously, Ben gets credit for foresight on how to organize those surveys.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Cloudera

DECEMBER 12, 2018

I decided to jump ship in May of 2012 joining Cloudera. Which visual analytics tools do you see dominating the big data analytics space? There are quite a number of new implementations that I’ve seen that use Arcadia Data and I think they offer more of the data lake experience in terms of data browsing and data visualizations.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42