Netflix Tech

APRIL 27, 2023

A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Hence, we started down the path of alert evaluation via real-time streaming metrics. This has proven to be valuable towards reducing Mean Time to Recover (MTTR).

Database 115

Database Architecture Consulting Systems 115

Marc Lamberti

SEPTEMBER 29, 2023

Under the imports, define the DAG object: @dag( start_date=datetime(2023, 1, 1), schedule="@daily", tags=["activity"], catchup=False, ) def find_activity(): pass find_activity() Quick explanations: @dag is the DAG decorator to create your DAG. tags allow filtering DAGs on the user interface. Here, every day at midnight.

Data Pipeline 130

Data Pipeline Python AWS Project 130

Christophe Blefari

SEPTEMBER 28, 2023

Like data workflows are always failing, are always late —Identify why workflows fails, data contracts might help to bring consensus as code if it fails because of upstream producers, create metrics about failure or latency aim for a 30-days streak with no issues. Find, tag and remove what is useless, what can be factorised.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

Ripple Engineering

MARCH 30, 2023

Challenges and Assumptions We need to track model files and all related metadata for models like training metrics, date trained, etc. All model runs, associated performance metrics, and hyperparameters are stored in the model registry. We promote the model trained on the latest data to Staging if it meets certain metric requirements.

Machine Learning 98

Machine Learning AWS Metadata Data Collection 98

Data Engineering Weekly

JUNE 4, 2023

David Heinemeier Hansson: The luxury of working without metrics “The metrics you choose as a measure of success inherently shape the essence of the company you aspire to build” - A Data Practitioner. Sometimes, the metrics you don’t also have the same impact. Do you need data/ metrics at all?

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Data Engineering Podcast

DECEMBER 17, 2017

Summary Time series databases have long been the cornerstone of a robust metrics system, but the existing options are often difficult to manage in production. What is the reasoning for that and what happens to the individual metrics as they age beyond that time horizon? What have been the most challenging aspects of building Siri?

Database 100

Database Data Pipeline Data Engineering Data Engineer 100

Pinterest Engineering

JULY 18, 2023

These are the time series solutions Pinterest has used, ending with the current solution: Ganglia Graphite OpenTSDB Goku (current solution) With the exception of Graphite, performing operations such as combining, reducing, or filtering on time series metrics did not exist.

Database 75

Database Software Engineer Software Engineering Raw Data 75

Knowledge Hut

FEBRUARY 1, 2024

We can then use this similarity metric to generate recommendations for each user, based on the ratings of similar users. Tagging and Folksonomy: Some datasets incorporate user-generated tags or folksonomy data, where users assign descriptive tags to movies. values similar_users = similarity_matrix[i].argsort()[:-6:-1]

Systems 98

Systems Entertainment Algorithm Datasets 98

Towards Data Science

JUNE 19, 2023

Note: Compose will tag pipes with the project name. Whenever you run an action with mrsm compose, the flag --tags {project_name} is appended (unless overridden) to ensure that you only interact with the pipes within the project. The --dry flag prevents syncing jobs from running. mrsm compose down -v Stops jobs and deletes pipes.

PostgreSQL 80

PostgreSQL SQL Python Project 80

Cloudera

JUNE 26, 2023

CM facilitates issue diagnosis with health test functions, metrics, charts, and visuals. Add both Catalogs and Atlases to your library Operating Atlas and Cloudera Data Catalog natively in the cluster facilitates tagging data and painting data lineage at both the data and process level for presentation via the Data Catalog interface.

ETL Tools 75

ETL Tools Programming Language Datasets Data Pipeline 75

LinkedIn Engineering

MARCH 21, 2023

Figure 5: KGBert model training pipeline Let’s take a closer look at each stem of KGBert: Input Layer The two skill nodes l and r are represented by their names and/or descriptions, and are then concatenated into one “context sentence” separated by the special [SEP] tag with the [CLS] tag as prefix and the [SEP] tag as the suffix.

Building 85

Building Recruitment Machine Learning Deep Learning 85

Netflix Tech

OCTOBER 19, 2020

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Edgar uses this infrastructure tagging schema to query and join traces with log data for troubleshooting streaming sessions.

Building 93

Building Transportation Metadata Java 93

Towards Data Science

OCTOBER 25, 2023

We have a dbt app called health-insights that takes weight and height data from upstream data sources and calculates the body mass index metric. Notice also how we have tagged the tests as “contract-test-source”. Our mart, body_mass_indexes , produces a BMI metric from the weight and height measure data we get from our sources.

Data Pipeline 82

Data Pipeline SQL Data Architecture Data 82

Lyft Engineering

OCTOBER 3, 2023

Consequences of Bad Hive Data Poor data quality in Hive caused tainted experimentation metrics, inaccurate machine learning features, and flawed executive dashboards. This has useful aggregations like owning team, table name, and tags. A backup in Flink causes records to arrive 30 minutes late.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Snowflake

SEPTEMBER 13, 2023

The next step with usage-based pricing is to select the pricing metric. But that’s just the pricing metric. The question of price—and by that we mean the price tag, the sticker price—comes up often in discussions of data commercialization. And, the rise of AI will catalyze that shift. What are you going to charge?

Food 102

Food Retail Hospitality Data 102

Pinterest Engineering

OCTOBER 31, 2023

It is integrated with Statsboard, Pinterest’s native metrics dashboard, allowing users to configure application-level metrics with desired thresholds to trigger scaling along with scaling safeguards, such as a cool down window and replica min/max limitations. Components that are able to be shared by multiple tenants (e.g.

Architecture 97

Architecture Pipeline-centric Accessible Accessibility 97

DataKitchen

OCTOBER 28, 2021

ML models are being used to aid disease diagnosis like detecting cancer cells, tag photographs in social media, understand speech, identify credit card fraud, increase customer engagement with movie/TV recommendations on video streaming services and much more. Data teams should formulate equity metrics in partnership with stakeholders.

Coding 52

Coding IT Manufacturing Algorithm 52

Knowledge Hut

SEPTEMBER 27, 2023

Customize the Charts on Your Azure Dashboard: Tailor your Azure Dashboard to display the metrics that matter most to your operations. Tagging and Billing: You can apply tags to resource groups for cost tracking and categorization. This customization allows for a more personalized and efficient monitoring experience.

Database-centric 52

Database-centric Cloud Computing Cloud Database 52

DareData

NOVEMBER 28, 2023

By logging the various metrics, parameters, and artifacts [2] –this is just a more general way of saying models and other useful objects– associated with each try, one can create a detailed record of the experimentation process. Flow: it is a Python function with a @flow decorator that represents the basic unit of a running piece.

Data Science 52

Data Science Medical Machine Learning Data 52

Knowledge Hut

OCTOBER 27, 2023

Moreover, determining the right metric to validate the forecast is crucial and it should align with the business goals as well. The use of metrics such as bias, over-forecast, under-forecast, etc., Visual Search could be extended to other use cases such as automated image tagging. This would ensure that the model is scalable.

Data Science 52

Data Science Python Project Manufacturing 52

Knowledge Hut

MARCH 28, 2024

Their primary objective was to attach bar-coded tags to baggage in order to fully automate the process. Also, from the top management to ground level, key evaluation metrics have to be laid out for positive impact on the organization. The authorities anticipated reducing the aircraft turnaround time by half across three terminals.

Project 52

Project Management Electronics Manufacturing 52

Knowledge Hut

APRIL 20, 2023

An important aspect of data governance is measuring and monitoring its effectiveness using data governance metrics. These metrics help organisations track the success of their initiatives and identify areas that need improvement. The best Data Engineering Bootcamp will help you optimise and analyse data like a pro.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Scott Logic

NOVEMBER 9, 2023

It brings together companies like Microsoft, Google, Intel and technology consultancies to develop metrics, standards, tools, and certifications around sustainable software. An offshoot from the Linux Foundation founded in 2021, GSF focuses on making software engineering more sustainable.

Amazon Web Services 52

Amazon Web Services Government Cloud Computing Consulting 52

Rockset

AUGUST 27, 2020

NoSQL Data Makes Analytics Challenging Matter’s services range from end-user-facing dashboards and portfolio summarization to sophisticated data pipelines and APIs that track sustainability metrics on investable companies and organizations all over the world.

NoSQL 40

NoSQL Data Lake Portfolio Architecture 40

Monte Carlo

AUGUST 31, 2021

Once your team starts troubleshooting the issue, it is a best practice to tag the issue based on its status, whether fixed, expected, investigating, no action needed, or false positive. Time-to-detection (TTD): When an issue arises, this metric quantifies how quickly your team is alerted. While some are harmless (i.e.,

Data Pipeline 52

Data Pipeline Software Engineer Software Engineering Data 52

Knowledge Hut

MARCH 20, 2024

Effective tagging strategy Adopting flexibility Regularly review and optimize. Performance-Based Cost Model: A performance-based cost model charges are determined by the performance metrics and capabilities of the service. This model is connected to the client’s business outcome that relies on specific performance metrics.

Cloud 52

Cloud AWS Cloud Computing Utilities 52

ProjectPro

JULY 2, 2021

List a few methods for part-of-speech tagging. Rule-based tagging, HMM-tagging, transformation-based tagging, and memory-based tagging. Part-of-speech Tagging 3. It is a metric that is used to test the performance of language models. What is Part-of-Speech tagging? What is a corpus?

Algorithm 40

Algorithm Machine Learning Recruitment Banking 40

Rockset

JANUARY 28, 2020

Their autonomous checkout system only requires easy-to-install overhead cameras, with no other sensors or RFID tags needed on shelves or merchandise. The engineering team pulls together multiple data sets—event streams from the stores, data from vendors, store inventory information, and debug logs—to generate accuracy metrics.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

Knowledge Hut

SEPTEMBER 28, 2023

Power BI maps accurately plot locations using geographic tags or names, facilitating data detection and visualization. Challenge yourself by working with DAX metrics, enhancing your analytical skills. Power BI Maps: Power BI maps stand as a distinct and intricate visualization technique. New features may simplify your tasks.

BI 52

BI Business Intelligence Certification Raw Data 52

Confluent

MARCH 26, 2019

how long it takes to execute an operation) and additional metadata like annotations and tags. This can be a useful technique in addition to the concepts in this previous blog discussing how to gather metrics and monitor KSQL. Each span contains information about the service and operations being traced, the latency (i.e.,

Kafka 111

Kafka Transportation Metadata Consulting 111

Pinterest Engineering

MAY 24, 2024

In this second part, we discuss how we monitor and investigate regressions in our Pinner Wait Time and Core Web Vital metrics for desktop and mobile web using real time metrics from real users. These real time graphs have been invaluable for regression alerting and root cause analysis.

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52

ProjectPro

OCTOBER 8, 2021

Each rule has support and confidence as a metric. These rules and associated metrics can help organizations come up with better marketing strategies. Also, use evaluation metrics like Accuracy, Precision, ROC-AUC to measure efficiency. Evaluate the performance using F1- Score metrics.

Retail 52

Retail Machine Learning Project Datasets 52

AltexSoft

MAY 12, 2022

Audio Toolbox by MathWorks offers numerous instruments for audio data processing and analysis, from labeling to estimating signal metrics to extracting certain features. Data labeling or annotation is about tagging raw data with correct answers to run supervised machine learning. Audio data analysis steps. Audio data labeling.

Machine Learning 122

Machine Learning Building Datasets Healthcare 122

Monte Carlo

MARCH 30, 2022

Tagging tables that are covered by data SLAs as part of a data certification process is a great solution to avoid the “you’re using that table?!” If you’re still on the fence, I highly encourage you to continue to evolve your data quality best practices and metrics.

Data Warehouse 52

Data Warehouse Data Machine Learning Data Engineering 52

Lyft Engineering

SEPTEMBER 6, 2023

ConnectContext({ // Opt-in requests tagged with this Context ID HTTP header context: 'mmeng', intercept_to: ['service_B'], intercept_from: ['service_A'], }) ConnectContext can intercept requests/responses for any service, at any hop, in real-time.

Building 80

Building Metadata Electronics Engineering 80

Cloudera

JUNE 28, 2022

Here, for example, the data received previously by the ListenUDP processor is “tagged” with the name of the schema that we want to use: “transaction.” The path that the data takes in a NiFi flow is determined by visual connections between the different processors. ” Scoring and routing transactions.

Process 81

Process Kafka SQL Machine Learning 81

ProjectPro

SEPTEMBER 6, 2021

Recommended Web Scraping Tool: For this project, we suggest you use Beautiful Soup ( Python’s open-source library ) as it will allow you to crawl the website and extract the review from the Amazon website using HTML tags. content length, meta tags, etc. of the web pages that pop up when searching for targetted keywords.

Project 52

Project Programming Language Entertainment Python 52