The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). We can also see the temporary data stored on Amazon S3 in the optimized Parquet format. enableHiveSupport().getOrCreate()

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Creating Interactive Visualisation for Actionable Analytics. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. I look forward to seeing you there! Apr 10, 2015 7:45 AM – 5:15 PM.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Actionable Visualization In Power BI. Creating Interactive Visualisation for Actionable Analytics. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. I look forward to seeing you there! Apr 10, 2015 7:45 AM – 5:15 PM.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Occam's Razor

OCTOBER 15, 2012

Note: The IAB (Interactive Advertising Bureau) and Google both benefit in their own way from the use of digital platforms. 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. What you see is for 2012. We don't.

Advertising 136

Advertising Marketing Strategy Insurance 136

AWS Big Data

AUGUST 28, 2023

By converting logs and events using Open Cybersecurity Schema Framework , an open standard for storing security events in a common and shareable format, Security Lake optimizes and normalizes your security data for analysis using your preferred analytics tool. Choose Component templates to verify the OCSF component templates.

Dashboards 52

Dashboards Visualization Metadata Management 52

AWS Big Data

SEPTEMBER 29, 2023

XML files are well-suited for applications, but they may not be optimal for analytics engines. Technique 1: Use an AWS Glue crawler and the visual editor The following diagram illustrates the simple architecture that you can use to implement the solution. This approach optimizes the use of your XML files. Choose Create.

Metadata 65

Metadata Visualization Data-driven Optimization 65

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 246

Consulting Interactive Software IT 246

AWS Big Data

OCTOBER 23, 2023

For interactive applications, Athena Spark allows you to spend less time waiting and be more productive, with application startup time in under a second. Running SQL on data lakes is fast, and Athena provides an optimized, Trino- and Presto-compatible API that includes a powerful optimizer.

Data Lake 97

Data Lake Visualization Optimization Interactive 97

AWS Big Data

FEBRUARY 21, 2024

However, the job will always try to use the connections’ network configuration in the order listed and pick the first one that passes the health checks and has at least two IP addresses to get the job started, which might not be the optimal option. Switch from Visual to JSON mode and enter the following JSON on the textbox.

Strategy 88

Strategy Management Visualization IT 88

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. The problems down in the mature bucket, those are optimizations, they aren’t showstoppers.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Sisense

DECEMBER 11, 2019

An exciting slate of presentations took them on a journey from why to how they should use data analytics to optimize their operations successfully and maximize their business opportunities. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

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. Column "a" is an advertiser id, "b" is a web site, and "c" is the 'interaction' of columns "a" and "b". $y$ Cambridge University Press, (2012). [4] In this example we have three features/columns named "a", "b", and "c". hi-fly-airlines 123.com

Modeling 40

Modeling Statistics Advertising Testing 40

Cloudera

DECEMBER 12, 2018

I decided to jump ship in May of 2012 joining Cloudera. In the Hadoop world, or the big data world, most of these components are separate and modular, but yet interact together to form a system that behaves very similarly. Which visual analytics tools do you see dominating the big data analytics space? Zoomdata is in there.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

CIO Business Intelligence

FEBRUARY 3, 2023

Email and client interaction; task routing Airslate Document-centric tasks such as PDF editing or generating eSignatures for contracts are one of the focuses for Airslate. The focus is interacting with web pages, databases, and Excel spreadsheets. Its “Conversational RPA” brings a natural language interface to many interactions.

Data-driven 145

Data-driven Interactive Enterprise Statistics 145

Domino Data Lab

SEPTEMBER 9, 2019

Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? The displaCy library provides an excellent way to visualize named entities: In [15]: displacy.render(doc, style="ent"). lemma – a root form of the word. part of speech. Out[14]: Steve Jobs PERSON?

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110