O'Reilly on Data

JANUARY 17, 2023

Upload your data, click through a workflow, walk away. If you’re a professional data scientist, you already have the knowledge and skills to test these models. Get your results in a few hours. Why would you want autoML to build models for you? It buys time and breathing room. It does not exist in the code.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

DataKitchen

OCTOBER 5, 2021

The data organization wants to run the Value Pipeline as robustly as a six sigma factory, and it must be able to implement and deploy process improvements as rapidly as a Silicon Valley start-up. The data engineer builds data transformations. Their product is the data. Create tests. Run the factory.

Testing 154

Testing Dashboards Measurement Experimentation 154

DataKitchen

JULY 27, 2023

Here are a few examples that we have seen of how this can be done: Batch ETL with Azure Data Factory and Azure Databricks: In this pattern, Azure Data Factory is used to orchestrate and schedule batch ETL processes. Azure Blob Storage serves as the data lake to store raw data. Azure Machine Learning).

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Occam's Razor

OCTOBER 19, 2010

If you can show ROI on a DW it would be a good use of your money to go with Omniture Discover, WebTrends Data Mart, Coremetrics Explore. If you have evolved to a stage that you need behavior targeting then get Omniture Test and Target or Sitespect. Mongoose Metrics ~ ifbyphone. Five Reasons And Awesome Testing Ideas.

Analytics 136

Analytics Testing Measurement Optimization 136

AWS Big Data

AUGUST 1, 2024

However, you might face significant challenges when planning for a large-scale data warehouse migration. The success criteria are the key performance indicators (KPIs) for each component of the data workflow. This will enable right-sizing the Redshift data warehouse to meet workload demands cost-effectively.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

Wayne Yaddow

MARCH 3, 2025

Photo by CDC on Unsplash Many data pipeline failures and quality issues that are detected by data observability tools in production could have been prevented earlier in the pipeline lifecycle with better pre-production testing strategies. Helps identify transformation errors, and data quality issues early, minimizing risks.

Data Quality 52

Data Quality Strategy ROI Testing 52

AWS Big Data

NOVEMBER 9, 2023

A modern data platform entails maintaining data across multiple layers, targeting diverse platform capabilities like high performance, ease of development, cost-effectiveness, and DataOps features such as CI/CD, lineage, and unit testing. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

AWS Big Data

AUGUST 9, 2023

The advent of rapid adoption of serverless data lake architectures—with ever-growing datasets that need to be ingested from a variety of sources, followed by complex data transformation and machine learning (ML) pipelines—can present a challenge. Disable the rules after testing to avoid repeated messages.

Data Lake 98

Data Lake Metrics Testing Cost-Benefit 98

DataKitchen

OCTOBER 25, 2022

The goal of DataOps Observability is to provide visibility of every journey that data takes from source to customer value across every tool, environment, data store, data and analytic team, and customer so that problems are detected, localized and raised immediately. A data journey spans and tracks multiple pipelines.

Testing 130

Testing Data-driven Visualization Dashboards 130

AWS Big Data

OCTOBER 11, 2023

In this post, we discuss ways to modernize your legacy, on-premises, real-time analytics architecture to build serverless data analytics solutions on AWS using Amazon Managed Service for Apache Flink. Near-real-time streaming analytics captures the value of operational data and metrics to provide new insights to create business opportunities.

Management 131

Management Metadata Analytics Dashboards 131

AWS Big Data

AUGUST 9, 2024

AWS offers Redshift Test Drive to validate whether the configuration chosen for Amazon Redshift is ideal for your workload before migrating the production environment. At this point, only one-time queries and those made by Amazon QuickSight reached the new cluster. We removed the DC2 cluster and completed the migration.

Data Lake 111

Data Lake Analytics Data Warehouse Data-driven 111

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. To gain these insights, customers often perform ETL (extract, transform, and load) jobs from their source systems and output an enriched dataset.

Reporting 96

Reporting Metrics Optimization Data Lake 96

Cloudera

MARCH 14, 2023

Allows them to iteratively develop processing logic and test with as little overhead as possible. Plays nice with existing CI/CD processes to promote a data pipeline to production. Provides monitoring, alerting, and troubleshooting for production data pipelines.

Testing 84

Testing Publishing Metadata Interactive 84

Sisense

AUGUST 6, 2020

An obvious mechanical answer is: use relevance as a metric. Another important method is to benchmark existing metrics. Know the limitations of your existing dataset and answer these questions: What categories of data are there? Be sure test cases represent the diversity of app users. Can a chatbot help improve relations?

Management 95

Management Machine Learning Key Performance Indicator Cost-Benefit 95

AWS Big Data

JUNE 20, 2023

Kinesis Data Firehose is a fully managed service for delivering near-real-time streaming data to various destinations for storage and performing near-real-time analytics. You can perform analytics on VPC flow logs delivered from your VPC using the Kinesis Data Firehose integration with Datadog as a destination.

Dashboards 98

Dashboards Visualization Metrics Data Transformation 98

AWS Big Data

NOVEMBER 15, 2023

Each CDH dataset has three processing layers: source (raw data), prepared (transformed data in Parquet), and semantic (combined datasets). It is possible to define stages (DEV, INT, PROD) in each layer to allow structured release and test without affecting PROD.

Dashboards 111

Dashboards Analytics Metadata Data Warehouse 111

AWS Big Data

FEBRUARY 26, 2024

You simply configure your data sources to send information to OpenSearch Ingestion, which then automatically delivers the data to your specified destination. Additionally, you can configure OpenSearch Ingestion to apply data transformations before delivery. Choose the Test tab. For Method type ¸ choose POST.

Dashboards 85

Dashboards Testing Metrics Optimization 85

Cloudera

OCTOBER 8, 2024

Detailed Data and Model Lineage Tracking*: Ensures comprehensive tracking and documentation of data transformations and model lifecycle events, enhancing reproducibility and auditability.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

Alation

OCTOBER 18, 2022

Alation is pleased to be named a dbt Metrics Partner and to announce the start of a partnership with dbt, which will bring dbt data into the Alation data catalog. In the modern data stack, dbt is a key tool to make data ready for analysis. Data Transformation in the Modern Data Stack.

Metadata 52

Metadata Metrics Recreation/Entertainment Data Quality 52

AWS Big Data

FEBRUARY 6, 2023

Let’s look at some key metrics. After analyzing YARN logs by various metrics, you’re ready to design future EMR architectures. Clean up After you complete all the steps and finish testing, complete the following steps to delete resources to avoid incurring costs: On the AWS CloudFormation console, choose the stack you created.

Dashboards 98

Dashboards Optimization Data Lake Cost-Benefit 98

Alation

OCTOBER 27, 2022

Few actors in the modern data stack have inspired the enthusiasm and fervent support as dbt. This data transformation tool enables data analysts and engineers to transform, test and document data in the cloud data warehouse. But what does this mean from a practitioner perspective?

Dashboards 52

Dashboards Metrics Sales Reporting 52

AWS Big Data

MARCH 3, 2023

Tricentis is the global leader in continuous testing for DevOps, cloud, and enterprise applications. Speed changes everything, and continuous testing across the entire CI/CD lifecycle is the key. Tricentis instills that confidence by providing software tools that enable Agile Continuous Testing (ACT) at scale.

Software 52

Software Data Lake Testing Dashboards 52

Ontotext

APRIL 4, 2019

Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. They have different metrics for judging whether some content is interesting or not. This is one of the main diagnostic tests.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

AWS Big Data

JULY 27, 2023

DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. On the Runs tab, you can keep track of the process and see detailed job metrics using the job ID link.

Visualization 98

Visualization Cost-Benefit Data Quality Publishing 98

AWS Big Data

FEBRUARY 21, 2023

We use Apache Spark as our main data processing engine and have over 1,000 Spark applications running over massive amounts of data every day. These Spark applications implement our business logic ranging from data transformation, machine learning (ML) model inference, to operational tasks. Their costs were climbing.

Cost-Benefit 59

Cost-Benefit Informatics Optimization Management 59

DataRobot Blog

MARCH 10, 2022

The first step in building a model that can predict machine failure and even recommend the next best course of action is to aggregate, clean, and prepare data to train against. This task may require complex joins, aggregations, filtering, window functions, and many other data transformations against extremely large-scale data sets.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

Alation

OCTOBER 28, 2021

This, in turn, empowers data leaders to better identify and develop new revenue streams, customize patient offerings, and use data to optimize operations. To make good on this potential, healthcare organizations need to understand their data and how they can use it. Why Is Data Governance in Healthcare Important?

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

DataRobot Blog

APRIL 4, 2022

Media data (usually weekly): media costs, media ratings generated (TVRs, magazine copies, digital impressions, likes, shares, etc.), The standard practice is that the data should be aggregated into a weekly format and span at least the last two to three years (ideally around five years). Classical Modeling Considerations.

Machine Learning 52

Machine Learning Sales Measurement ROI 52

DataKitchen

APRIL 26, 2021

GSK had been pursuing DataOps capabilities such as automation, containerization, automated testing and monitoring, and reusability, for several years. DataOps provides the “continuous delivery equivalent for Machine Learning and enables teams to manage the complexities around continuous training, A/B testing, and deploying without downtime.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 122

Data Lake Management Metrics Data Warehouse 122

AWS Big Data

DECEMBER 21, 2023

The data products from the Business Vault and Data Mart stages are now available for consumers. smava decided to use Tableau for business intelligence, data visualization, and further analytics. The data transformations are managed with dbt to simplify the workflow governance and team collaboration.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

DECEMBER 17, 2024

Conduct data quality tests on anonymized data in compliance with data policies Conduct data quality tests to quickly identify and address data quality issues, maintaining high-quality data at all times. The challenge Data quality tests require performing 1,300 tests on 10 TB of data monthly.

Data Quality 92

Data Quality Testing Metrics Optimization 92

AWS Big Data

FEBRUARY 25, 2025

If data mapping has been enabled within the data processing job, then the structured data is prepared based on the given schema. This output is passed to next phase where data transformations and business validations can be applied. After this step, data is loaded to specified target.

Data Processing 56

Data Processing Machine Learning Data-driven Cost-Benefit 56

DataKitchen

JANUARY 23, 2023

DataOps Observability includes monitoring and testing the data pipeline, data quality, data testing, and alerting. Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements.

Testing 130

Testing Data Quality Data Governance Data-driven 130

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. When treating a patient, a doctor may wish to study the patient’s vital metrics in comparison to those of their peer group. Visual Analytics Users are given data from which they can uncover new insights.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

JANUARY 10, 2025

Tableaus certifications, in particular, focus on performance-based testing rather than theory in an effort to verify a candidates ability to apply the subject matter in a real work environment. The Tableau Certified Data Analyst title is active for two years from the date achieved. The certification does not expire.

Data Analytics 105

Data Analytics Analytics Consulting Visualization 105