AWS Big Data

MARCH 7, 2024

With OpenSearch Ingestion, you can filter, enrich, transform, and deliver your data for downstream analysis and visualization. For a list of supported metrics, refer to Monitoring pipeline metrics. CloudWatch alarms perform an action when a CloudWatch metric exceeds a specified value for some amount of time.

Data Lake 117

Data Lake Analytics Dashboards Metrics 117

Occam's Razor

DECEMBER 3, 2012

Use those metrics to optimize your social existence. Bonus: Facebook Advertising / Marketing: Best Metrics, ROI, Business Value. My answer: I would spend the budget I need to take 100% of the Proactively Capture (right most in the visual above) and then steadily spend rest of the budget moving from right to left. Good question.

Marketing 149

Marketing Advertising Strategy Optimization 149

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. Very handy. I hear you.

Strategy 160

Strategy Analytics Reporting Metrics 160

AWS Big Data

JUNE 12, 2024

A common use case that we see amongst customers is to search and visualize data. In this post, we show how to ingest CSV files from Amazon Simple Storage Service (Amazon S3) into Amazon OpenSearch Service using the Amazon OpenSearch Ingestion feature and visualize the ingested data using OpenSearch Dashboards.

Dashboards 101

Dashboards Visualization Sales IoT 101

AWS Big Data

OCTOBER 25, 2023

The raw data stored in Amazon S3 can be inexpensively retained for an extended period of time using tiered storage and queried using the Athena query engine, and also visualized using Amazon QuickSight or other data visualization services. This limit is observed using the anomaly_detector.RCFInstances.value CloudWatch metric.

Analytics 123

Analytics Data Processing Optimization Metrics 123

AWS Big Data

MARCH 12, 2024

AWS Glue Data Quality is built on DeeQu , an open source tool developed and used at Amazon to calculate data quality metrics and verify data quality constraints and changes in the data distribution so you can focus on describing how data should look instead of implementing algorithms. In the Create job section, choose Visual ETL.x

Data Quality 95

Data Quality Measurement Testing Visualization 95

AWS Big Data

APRIL 3, 2024

Many organizations already use AWS Glue Data Quality to define and enforce data quality rules on their data, validate data against predefined rules , track data quality metrics, and monitor data quality over time using artificial intelligence (AI). You can also visualize column-level data quality starting on the Schema tab.

Data Quality 94

Data Quality Visualization Metadata Metrics 94

AWS Big Data

AUGUST 7, 2023

to create forecast tables and visualize the data. Time series data is plottable on a line graph and such time series graphs are valuable tools for visualizing the data. The OBJECTIVE parameter specifies a metric to minimize or maximize the objective of a job. In our case, we use Amazon Redshift Query Editor v2.0

Forecasting 83

Forecasting Data Warehouse Machine Learning Modeling 83

AWS Big Data

MARCH 11, 2024

Establish connectivity between an Amazon QuickSight dashboard and Amazon Redshift to deliver visualization and insights. Make sure that data is flowing into your MSK topic using Amazon CloudWatch metrics (for example, BytesOutPerSec ). You can continuously load fresh data by calling the stored procedure at regular intervals.

Analytics 72

Analytics Data Warehouse Optimization Metrics 72

AWS Big Data

OCTOBER 23, 2024

Amazon Redshift provides performance metrics and data so you can track the health and performance of your provisioned clusters, serverless workgroups, and databases. This feature is part of the Amazon Redshift console and provides a visual and graphical representation of the query’s run order, execution plan, and various statistics.

Data Warehouse 82

Data Warehouse Metrics Broadcasting Dashboards 82

AWS Big Data

JULY 17, 2023

With OpenSearch Ingestion, you can filter, enrich, transform, and deliver your data for downstream analysis and visualization. Best practices for monitoring You can monitor the Amazon CloudWatch metrics made available to you to maintain the right performance and availability of your pipeline.

Management 75

Management Analytics Data Processing Metrics 75

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. From a startup in 2012, it is now valued at $3.2 He concluded that data teams can influence the transformation of startups into unicorns. A true unicorn.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. I recall a “Data Drinkup Group” gathering at a pub in Palo Alto, circa 2012, where I overheard Pete Skomoroch talking with other data scientists about Kahneman’s work.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

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). We pass 3 parameters: loss, optimizer , and metrics. Choosing your evaluation metric Lastly, metrics just refers to your choice of evaluation metric.

Metrics 58

Metrics Optimization Modeling Testing 58

Domino Data Lab

MARCH 3, 2019

What metrics are used to evaluate success? While image data has been the stalwart for deep learning use cases since the proverbial “ AlexNet moment ” in 2011-2012, and a renaissance in NLP over the past 2-3 years has accelerated emphasis on text use cases, we note that structured data is at the top of the list in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

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. He was saying this doesn’t belong just in statistics. But the point there was what was emerging was interdisciplinary.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

JANUARY 3, 2023

In October, the league, with partner SAP, launched NHL Venue Metrics, a sustainability platform that teams and their venue partners can use for data collection, validation, and reporting and insights. Mitchell says the league is thinking of NHL Venue Metrics in the same way. “We SAP is the technical lead on NHL Venue Metrics.

Metrics 144

Metrics Measurement Recreation/Entertainment Data Collection 144

datapine

MAY 17, 2021

Without a doubt, the best way to drive maximum value from the metrics, insights, and information is through something called data discovery. This level of discovery can be described and categorized by: Data preparation Visual analysis Guided advanced analytics. But how do you begin adopting this mentality?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

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. for a, b in pairs:?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110