O'Reilly on Data

DECEMBER 12, 2023

I can also ask for a reading list about plagues in 16th century England, algorithms for testing prime numbers, or anything else. Yes, it happens to be the next word in Hamlet’s famous soliloquy; but the model wasn’t copying Hamlet, it just picked “or” out of the hundreds of thousands of words it could have chosen, on the basis of statistics.

Modeling 253

Modeling Software Sales Statistics 253

Octopai

OCTOBER 26, 2022

Continuous pipeline monitoring with SPC (statistical process control). SPC is the continuous testing of the results of automated manufacturing processes. products or product components) are checked to make sure that they do not deviate in a statistically significant way from the expected results. Results (i.e.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Alation

APRIL 18, 2023

DAMA defines data profiling as: An approach to data quality analysis, using statistics to show patterns of usage, and patterns of contents in an automated manner. The tools provide data statistics, such as degree of duplication and ratios of attribute values, both in tabular and graphical formats.

IT 52

IT Metadata Data Quality Data Governance 52

CIO Business Intelligence

FEBRUARY 28, 2023

The technology behind the Searchable Museum The Searchable Museum runs on Amazon Web Services and uses APIs created by the Smithsonian IT team to access all the metadata available in the massive catalog of artifacts, images, video clips, 3D objects, and other components that reside within the 11 inaugural exhibitions in the building.

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

AWS Big Data

APRIL 3, 2024

By selecting the corresponding asset, you can understand its content through the readme, glossary terms , and technical and business metadata. Synthea is a synthetic patient generator that creates realistic patient data and associated medical records that can be used for testing healthcare software applications.

Data Quality 93

Data Quality Visualization Metadata Metrics 93

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Some of the best lessons are captured in Ron Kohavi, Diane Tang, and Ya Xu’s book: Trustworthy Online Controlled Experiments : A Practical Guide to A/B Testing.

Marketing 362

Marketing Experimentation Metrics Testing 362

datapine

SEPTEMBER 29, 2022

It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. Also known as data validation, integrity refers to the structural testing of data to ensure that the data complies with procedures. 2 – Data profiling. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

Ontotext

JUNE 22, 2023

Recent statistics shed light on the realities in the world of current drug development: out of about 10,000 compounds that undergo clinical research, only 1 emerges successfully as an approved drug. The current process involves costly wet lab experiments, which are often performed multiple times to achieve statistically significant results.

Metrics 52

Metrics Statistics Visualization Metadata 52

AWS Big Data

DECEMBER 12, 2023

Athena uses the AWS Glue Data Catalog to store the table metadata. For our testing, we use the following files: The green/ folder has the file green_tripdata_2022-06.parquet Use EMR Serverless to transform the data using PySpark code and then store the transformed data back in your S3 bucket.

Data Processing 93

Data Processing Management Statistics Interactive 93

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. 95 F1 scores across genres.

Modeling 59

Modeling Metadata Publishing Sales 59

Rita Sallam

APRIL 2, 2023

SAS created, on top of the traditional statistical and machine learning models to predict events, a set of four unique models specifically focused on helping people impacted by flooding: An optimization network model (cost network flow algorithm) to optimally help displaced people reach public shelters and safer areas.

Optimization 52

Optimization Machine Learning Insurance Risk 52

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. This has serious implications for software testing, versioning, deployment, and other core development processes. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

Ontotext

MAY 26, 2021

But, before we can have any larger scale implementation of these rules, we have to test their validity. This happens through the process of semantic annotation , where documents are tagged with relevant concepts and enriched with metadata , i.e., references that link the content to concepts, described in a knowledge graph.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively. Scalability and elasticity.

Metadata 56

Metadata Data Quality Machine Learning Statistics 56

DataKitchen

OCTOBER 11, 2021

There are no automated tests , so errors frequently pass through the pipeline. There is no process to spin up an isolated dev environment to quickly add a feature, test it with actual data and deploy it to production. The pipeline has automated tests at each step, making sure that each step completes successfully.

Testing 152

Testing Metadata Dashboards Statistics 152

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Cloudera

JULY 13, 2023

In this blog, we will discuss performance improvement that Cloudera has contributed to the Apache Iceberg project in regards to Iceberg metadata reads, and we’ll showcase the performance benefit using Apache Impala as the query engine. Impala can access Hive table metadata fast because HMS is backed by RDBMS, such as mysql or postgresql.

Metadata 70

Metadata Snapshot Data Warehouse Statistics 70

AWS Big Data

SEPTEMBER 13, 2023

Finally, by testing the framework, we summarize how it meets the aforementioned requirements. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker. It also updates technical metadata in the AWS Glue Data Catalog.

Data Lake 94

Data Lake Data Processing Metadata Snapshot 94

Cloudera

FEBRUARY 8, 2024

The snapshotId of the source tables involved in the materialized view are also maintained in the metadata. A Note on Iceberg materialized view specification Currently, the metadata needed for materialized views is maintained in Hive Metastore and it builds upon the materialized views metadata previously supported for Hive ACID tables.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

Alation

OCTOBER 12, 2022

Traditional business analysis uses numerical methods to paint a picture, often through numerical methods, like statistics. What Is the Role of Statistics in Quantitative Data Analysis? Statistics is at the heart of quantitative analysis. Two of the most common types of inferential statistics are: Regression analysis.

Statistics 52

Statistics Sales Testing Marketing 52

AWS Big Data

APRIL 12, 2023

We also share a Spark benchmark solution that suits all Amazon EMR deployment options, so you can replicate the process in your environment for your own performance test cases. The solution uses the TPC-DS dataset and unmodified data schema and table relationships, but derives queries from TPC-DS to support the SparkSQL test cases.

Testing 77

Testing Big Data Metadata Optimization 77

AWS Big Data

JUNE 9, 2023

It is crucial that you perform testing to ensure that a table format meets your specific use case requirements. Iceberg doesn’t optimize file sizes or run automatic table services (for example, compaction or clustering) when writing, so streaming ingestion will create many small data and metadata files.

Data Lake 117

Data Lake Metadata Optimization Statistics 117

AWS Big Data

JULY 3, 2023

With scalable metadata indexing, Apache Iceberg is able to deliver performant queries to a variety of engines such as Spark and Athena by reducing planning time. Solution overview To set up and test this experiment, we complete the following high-level steps: Create an S3 bucket. Load the dataset into Amazon S3.

Snapshot 87

Snapshot Data Lake Testing Strategy 87

Cloudera

NOVEMBER 13, 2020

Exhaustive cost-based query planning depends on having up to date and reliable statistics which are expensive to generate and even harder to maintain, making their existence unrealistic in real workloads. Metadata Caching. See the performance results below for an example of how metadata caching helps reduce latency.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

CIO Business Intelligence

MARCH 15, 2023

What to look for in a threat-hunting solution A key factor to look for in a threat-hunting solution is the ability to use statistical analyses to better understand whether particular incidents are notable. In addition to threat hunting, organizations can leverage services such as penetration testing and threat intelligence.

Testing 92

Testing Strategy Metadata Statistics 92

AWS Big Data

NOVEMBER 29, 2023

We have improved data lake query performance by integrating with AWS Glue statistics and introduce preview of incremental refresh for materialized views on data lake data to accelerate repeated queries. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 104

Data Warehouse Data Lake Analytics Machine Learning 104

O'Reilly on Data

MARCH 23, 2023

But Transformers have some other important advantages: Transformers don’t require training data to be labeled; that is, you don’t need metadata that specifies what each sentence in the training data means. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test.

IT 262

IT Modeling Testing Risk 262

Alation

JANUARY 25, 2022

A data fabric utilizes continuous analytics over existing, discoverable, and inferred metadata assets to support the design, deployment, and utilization of integrated and reusable data across all environments, including hybrid and multi-cloud platforms.” Data Catalog: To access and represent all metadata types.

Metadata 52

Metadata IT Metrics Data-driven 52

Domino Data Lab

JULY 21, 2019

I’m at NYU, as you can tell by my strong New York accent, and I’ve spent most of my career working with federal statistical agencies, the agencies that bring you the Decennial Census, the unemployment rate, GDP, and so on. A statistical agency collected it, curated it, documented it, sent it out. Let me tell you the story.

Metadata 65

Metadata Statistics Risk Machine Learning 65

CIO Business Intelligence

APRIL 7, 2022

With back-testing and cross-validation, we found that we’ve consistently been able to predict two-thirds of people about to resign, and save 10% to 20% of the ones we identified,” he says. When you present it that way, that we’re looking out for your health, they opt in,” he says. The results have been well beyond what you would expect.”.

Consulting 145

Consulting Management Interactive Metadata 145

Domino Data Lab

AUGUST 8, 2019

The gist is, leveraging metadata about research datasets, projects, publications, etc., Another key point: troubleshooting edge cases for models in production—which is often where ethics and data meet, as far as regulators are concerned—requires much more sophistication in statistics than most data science teams tend to have.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

CIO Business Intelligence

SEPTEMBER 22, 2023

These sources include ad marketplaces that dump statistics about audience engagement and click-through rates, sales software systems that report on customer purchases, and websites — and even storeroom floors — that track engagement. Along the way, metadata is collected, organized, and maintained to help debug and ensure data integrity.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

JUNE 9, 2022

Others aim simply to manage the collection and integration of data, leaving the analysis and presentation work to other tools that specialize in data science and statistics. Along the way, metadata is collected, organized, and maintained to help debug and ensure data integrity. Of course, marketing also works. Survey CTO.

Management 144

Management Advertising Data Lake Sales 144

Sisense

AUGUST 21, 2020

From Forecast to Trends to natural language querying, we are completely transparent about the technology behind and the statistical characteristics of the output. It also converts metadata from being used in auditing, lineage and reporting to powering dynamic systems.”. Trend 2: Decline of the dashboard.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

The Unofficial Google Data Science Blog

SEPTEMBER 9, 2015

While use of Sawzall at Google is in decline today, we believe the lessons discussed here have survived the test of time and are employed by descendant systems used throughout Google. The scope of each record is determined by the source of the data; it might be a web page, metadata about an app, or logs from a web server.

Data Science 56

Data Science Statistics Testing Metadata 56

AWS Big Data

JUNE 15, 2023

Follow along In the following examples, we often refer to two out-of-the-box sample topics, Product Sales and Student Enrollment Statistics , so you can follow along as you go. For example, in the student enrollment statistics example, Q already set Home of Origin as Location so if someone asks “where,” Q knows to use this field (Figure 6).

Sales 69

Sales Dashboards Visualization Testing 69