KDnuggets

JANUARY 22, 2025

With millions of client-server comms occurring every second across networks, the ability to maintain optimal performance is crucial to avoiding downtime, latency, and inefficiencies that could cost a business thousands or even millions of dollars.

Optimization 113

Optimization Statistics 113

Analytics Vidhya

JUNE 1, 2023

With franchise leagues like IPL and BBL, teams rely on statistical models and tools for competitive edge. This article explores how data analytics optimizes strategies by leveraging player performances and opposition weaknesses. Introduction Cricket embraces data analytics for strategic advantage.

Predictive Modeling 291

Predictive Modeling Modeling Statistics Optimization 291

AWS Big Data

OCTOBER 1, 2024

Over the last year, Amazon Redshift added several performance optimizations for data lake queries across multiple areas of query engine such as rewrite, planning, scan execution and consuming AWS Glue Data Catalog column statistics. Enabling AWS Glue Data Catalog column statistics further improved performance by 3x versus last year.

Data Lake 115

Data Lake Statistics Broadcasting Optimization 115

AWS Big Data

NOVEMBER 22, 2023

Today, we’re making available a new capability of AWS Glue Data Catalog that allows generating column-level statistics for AWS Glue tables. These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings.

Statistics 128

Statistics Data Lake Optimization Data-driven 128

DataKitchen

DECEMBER 9, 2024

DataKitchen loaded this data and implemented data tests to ensure integrity and data quality via statistical process control (SPC) from day one. A paper by the Royal Statistical Society shows that as more time is given to a task, quality goes up, and after a point, you hit diminishing returns.

Data Quality 161

Data Quality Data Lake Testing Statistics 161

O'Reilly on Data

NOVEMBER 19, 2024

decomposes a complex task into a graph of subtasks, then uses LLMs to answer the subtasks while optimizing for costs across the graph. As a result, GraphRAG mixes two bodies of “AI” research: the more symbolic reasoning which knowledge graphs represent and the more statistical approaches of machine learning.

Unstructured Data 318

Unstructured Data Structured Data Statistics Modeling 318

AWS Big Data

NOVEMBER 17, 2023

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. By using these statistics, CBO improves query run plans and boosts the performance of queries run in Athena.

Optimization 130

Optimization Statistics Metadata Data Lake 130

Cloudera

NOVEMBER 13, 2020

Impala Optimizations for Small Queries. We’ll discuss the various phases Impala takes a query through and how small query optimizations are incorporated into the design of each phase. Query optimization in databases is a long standing area of research, with much emphasis on finding near optimal query plans.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

Smart Data Collective

FEBRUARY 23, 2023

By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization. Conclusion Data mining is a powerful tool for online brands looking to optimize their branding strategies.

Data mining 145

Data mining Optimization Technology Marketing 145

CIO Business Intelligence

JANUARY 1, 2025

Referring to the latest figures from the National Institute of Statistics, Abril highlights thatin the last five years, technological investment within the sector has grown more than 40%. This reflects the growing dependence on digital solutions to maintain competitiveness, he says.

Strategy 115

Strategy Digital Transformation Optimization Technology 115

O'Reilly on Data

SEPTEMBER 12, 2019

In this episode of the Data Show , I speak with Michael Mahoney , a member of RISELab , the International Computer Science Institute , and the Department of Statistics at UC Berkeley. On the theoretical side, his works spans algorithmic and statistical methods for matrices, graphs, regression, optimization, and related problems.

Deep Learning 42

Deep Learning Statistics Data Processing Optimization 42

AWS Big Data

AUGUST 21, 2024

To address this requirement, Redshift Serverless launched the artificial intelligence (AI)-driven scaling and optimization feature, which scales the compute not only based on the queuing, but also factoring data volume and query complexity. The slider offers the following options: Optimized for cost – Prioritizes cost savings.

Optimization 104

Optimization Data Lake Data Warehouse Cost-Benefit 104

AWS Big Data

DECEMBER 17, 2024

First query response times for dashboard queries have significantly improved by optimizing code execution and reducing compilation overhead. We have enhanced autonomics algorithms to generate and implement smarter and quicker optimal data layout recommendations for distribution and sort keys, further optimizing performance.

Data Lake 95

Data Lake Data Warehouse Data-driven Optimization 95

Smart Data Collective

DECEMBER 19, 2021

Comprehensive data processing requires robust data analysis, statistics, and machine learning. Decision-making requires proper data analysis, and Python provides the results after using its vivid functionalities like data analytics, numerical computation, scientific computation, statistical analysis, and many more.

Optimization 141

Optimization Machine Learning Data mining Statistics 141

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. Real modeling begins once in production. Culture and organization.

Machine Learning 277

Machine Learning Risk Management Statistics 277

KDnuggets

DECEMBER 5, 2023

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

Statistics 136

Statistics Testing Optimization Machine Learning 136

CIO Business Intelligence

FEBRUARY 6, 2025

In retail, they can personalize recommendations and optimize marketing campaigns. In life sciences, simple statistical software can analyze patient data. Sustainable IT is about optimizing resource use, minimizing waste and choosing the right-sized solution. These potential applications are truly transformative.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Having chosen Amazon S3 as our storage layer, a key decision is whether to access Parquet files directly or use an open table format like Iceberg.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

Smart Data Collective

OCTOBER 17, 2022

Transactional data includes first and final purchases, products, number of purchases, date, statistics, typical order value, commodity purchase history, and total spending by a consumer. It is crucial to find the optimal time to send emails. Automation. Timelessness. Data science.

Marketing 128

Marketing Optimization Data Analytics Analytics 128

Smart Data Collective

FEBRUARY 7, 2023

However, that is only the case if they are properly maintained and optimized for speed. There are a lot of resources that can help optimize the processing speed of their computers, but they need to know how to use them appropriately. Computer users can take advantage of data-driven tools to improve the performance of their devices.

Data-driven 121

Data-driven Optimization Big Data Data Analytics 121

datapine

JANUARY 24, 2021

You’ll want to be mindful of the level of measurement for your different variables, as this will affect the statistical techniques you will be able to apply in your analysis. There are basically 4 types of scales: *Statistics Level Measurement Table*. 5) Which statistical analysis techniques do you want to apply? Who are they?

IT 317

IT Statistics KPI Data-driven 317

Smart Data Collective

SEPTEMBER 30, 2021

As the consequences of a global pandemic, cybersecurity statistics show a significant increase in data breaching and hacking incidents from sources that employees increasingly use to complete their tasks, such as mobile and IoT devices. Optimizing AI-Driven Cybersecurity Apps.

Optimization 135

Optimization IoT Data-driven Cost-Benefit 135

O'Reilly on Data

FEBRUARY 16, 2023

Remember that these tools aren’t doing math, they’re just doing statistics on a huge body of text. You can train models that are optimized to be correct—but that’s a different kind of model. But does 2+2 really equal 5? But if we want a search engine, we will need something that’s better behaved.

Testing 303

Testing Statistics Modeling Optimization 303

AWS Big Data

APRIL 28, 2023

One of the most common questions we get from customers is how to effectively monitor and optimize costs on AWS Glue for Spark. In this post, we demonstrate a tactical approach to help you manage and reduce cost through monitoring and optimization techniques on top of your AWS Glue workloads. includes the new optimized Apache Spark 3.3.0

Optimization 120

Optimization Metrics Interactive Data Integration 120

Smart Data Collective

AUGUST 11, 2022

However, statistics have shown that many businesses don’t receive customer payments on time. The post Using Data Analytics to Optimize Your Cash Collection Approach appeared first on SmartData Collective. One of the best benefits involves using data analytics to improve cash collection processes.

Data Analytics 128

Data Analytics Optimization Analytics Cost-Benefit 128

Analytics Vidhya

MARCH 4, 2021

ArticleVideo Book Objective Optimization is the core of every machine learning algorithm. Understand how the Gradient descent algorithm works and optimize model performance. Note: The post Understanding Gradient Descent Algorithm appeared first on Analytics Vidhya.

Machine Learning 306

Machine Learning Optimization Modeling Analytics 306

O'Reilly on Data

JUNE 18, 2019

The good news is that researchers from academia recently managed to leverage that large body of work and combine it with the power of scalable statistical inference for data cleaning. business and quality rules, policies, statistical signals in the data, etc.).

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. It helps to automate and makes the usage of the R programming statistical language easier and much more effective. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

AWS Big Data

DECEMBER 4, 2024

Use case Consider a large company that relies heavily on data-driven insights to optimize its customer support processes. For each table ingested by the zero-ETL integration, two groups of logs are created: status and statistics. Highlighted in the following screenshot in IngestionTableStatistics are the statistics.

Data Integration 112

Data Integration Data Lake Statistics Data-driven 112

IBM Big Data Hub

JANUARY 25, 2024

Many asset-intensive businesses are prioritizing inventory optimization due to the pressures of complying with growing industry 4.0 Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Results may vary.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

DataKitchen

APRIL 28, 2021

The point is that analytics agility is more about removing obstacles and process bottlenecks than optimized tool performance. If you have data errors that drive unplanned work, then orchestrate a battery of statistical and process controls that qualify data sources and data processing.

Statistics 246

Statistics Optimization Data Analytics Technology 246

CIO Business Intelligence

DECEMBER 3, 2024

Instead of managing each connection manually, SDN automates traffic routing to optimize bandwidth and efficiency.” “Many things which required manual setup are now automated to make the operations of the IT environment easier,” Vincalek says. Maintaining network devices like routers, switches, and firewalls by hand are examples.”

IT 128

IT Testing Software Data-driven 128

Smart Data Collective

MAY 14, 2021

It allows for the storage of user data and statistics, the collection of said statistics, usage analytics and reports, an integrated billing system, live rewind, catchup, EPG integration, DRM, lets you view and analyse information related to VOD, live rewind, catchup, timeshift, and more. Client Reporting. Dashboard and Analytics.

Data Analytics 119

Data Analytics Analytics Statistics Broadcasting 119

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. Whether it’s customer analytics, product quality assessments, or inventory insights, the Gold layer is tailored to support specific analytical use cases.

Data Quality 195

Data Quality Testing Metrics Reporting 195

CIO Business Intelligence

OCTOBER 29, 2024

So much so that it cites the US Bureau of Labor Statistics which forecasts that nearly two million healthcare workers will be needed each year to keep up with domestic demand.

Cost-Benefit 89

Cost-Benefit Statistics Enterprise Forecasting 89

AWS Big Data

MARCH 22, 2024

When you use Trino on Amazon EMR or Athena, you get the latest open source community innovations along with proprietary, AWS developed optimizations. and Athena engine version 2, AWS has been developing query plan and engine behavior optimizations that improve query performance on Trino. Starting from Amazon EMR 6.8.0

Metadata 117

Metadata Statistics Broadcasting Optimization 117