Analytics Vidhya

FEBRUARY 21, 2025

Microsoft’s OmniParser V2 is a cutting-edge AI screen parser that extracts structured data from GUIs by analyzing screenshots, enabling AI agents to interact with on-screen elements seamlessly. Perfect for building autonomous GUI agents, this tool is a game-changer for automation and workflow optimization.

Structured Data 140

Structured Data Interactive Optimization Analytics 140

CIO Business Intelligence

FEBRUARY 6, 2025

Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time. In retail, they can personalize recommendations and optimize marketing campaigns. Sustainable IT is about optimizing resource use, minimizing waste and choosing the right-sized solution.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Analytics Vidhya

MAY 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Last time I wrote about hyperparameter-tuning using Bayesian Optimization: bayes_opt. The post Tuning the Hyperparameters and Layers of Neural Network Deep Learning appeared first on Analytics Vidhya.

Deep Learning 390

Deep Learning Data Science Publishing Optimization 390

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 98

Data Lake Data Warehouse Data-driven Optimization 98

Analytics Vidhya

NOVEMBER 19, 2021

This is article was published as a part of the Data Science Blogathon. In the model-building phase of any supervised machine learning project, we train a model with the aim to learn the optimal values for all the weights and biases from labeled examples. If we use the same labeled examples for testing our model […].

Machine Learning 361

Machine Learning Testing Data Science Publishing 361

AWS Big Data

NOVEMBER 8, 2024

You can use Amazon Redshift to analyze structured and semi-structured data and seamlessly query data lakes and operational databases, using AWS designed hardware and automated machine learning (ML)-based tuning to deliver top-tier price performance at scale. Amazon Redshift delivers price performance right out of the box.

Data Lake 105

Data Lake Data Warehouse Optimization Testing 105

CIO Business Intelligence

APRIL 24, 2025

The cloud gives us greater flexibility and dynamism, so its part of the optimization of the platform were working with. Streamline and optimize The third major focus is to make SJ more efficient by optimizing its planning how time slots are allocated in relation to trains, staff, and different skills.

IT 71

IT Consulting Optimization IoT 71

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data.

IoT 111

IoT Machine Learning Metadata Data-driven 111

IBM Big Data Hub

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. The rise of cloud object storage has driven the cost of data storage down.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Smart Data Collective

SEPTEMBER 23, 2020

We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data. Many people are confused about these two, but the only similarity between them is the high-level principle of data storing.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

AWS Big Data

OCTOBER 1, 2024

Amazon Redshift enables you to efficiently query and retrieve structured and semi-structured data from open format files in Amazon S3 data lake without having to load the data into Amazon Redshift tables. Amazon Redshift extends SQL capabilities to your data lake, enabling you to run analytical queries.

Data Lake 116

Data Lake Statistics Broadcasting Optimization 116

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

CIO Business Intelligence

OCTOBER 30, 2023

The key is to make data actionable for AI by implementing a comprehensive data management strategy. That’s because data is often siloed across on-premises, multiple clouds, and at the edge. Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

Smart Data Collective

SEPTEMBER 16, 2022

Cost optimization. Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second. Among them are distinguished: Structured data. Unstructured data. Benefits of Big Data: Customer focus. Data security.

Finance 130

Finance Unstructured Data Cost-Benefit Big Data 130

AWS Big Data

OCTOBER 14, 2024

Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. With machine learning, the challenge isn’t writing the code; the algorithms are implemented in a number of well-known and highly optimized libraries.

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

DECEMBER 14, 2023

The Einstein Copilot Search capability can also be paired with retrieval augmented generation (RAG) tools — which Salesforce supplies — in order to enable Einstein Copilot to answer customer questions.

Unstructured Data 116

Unstructured Data Structured Data Enterprise Business Intelligence 116

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Data store – The data store used a custom data model that had been highly optimized to meet low-latency query response requirements.

Data Warehouse 115

Data Warehouse Data Lake Cost-Benefit Structured Data 115

erwin

SEPTEMBER 10, 2020

In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time. This information is critical to regulatory compliance, change management and data governance not to mention delivering an optimal customer experience.

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. Embracing the future In the dynamic world of data, data modeling remains an indispensable tool.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

MAY 10, 2022

A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. It requires SQL for optimal use, so is best suited for data engineers and analysts. Bloomreach Engagement.

Advertising 122

Advertising Interactive Marketing Structured Data 122

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

CIO Business Intelligence

NOVEMBER 14, 2022

They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. These DSS include systems that use accounting and financial models, representational models, and optimization models. Optimization analysis models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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 131

Statistics Data Lake Optimization Data-driven 131

AWS Big Data

FEBRUARY 26, 2025

S3 Tables are specifically optimized for analytics workloads, resulting in up to 3 times faster query throughput and up to 10 times higher transactions per second compared to self-managed tables. These metadata tables are stored in S3 Tables, the new S3 storage offering optimized for tabular data.

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

CIO Business Intelligence

NOVEMBER 20, 2023

Personalizing medicine: Generative AI can rapidly synthesize patient data from numerous sources, such as genetic data, clinical information, and medical literature, analyze it, and produce personalized treatment plans. Enabling data and AI to save lives The use cases for AI and generative AI in life sciences are life changing.

Cost-Benefit 132

Cost-Benefit Unstructured Data Structured Data Modeling 132

DataKitchen

FEBRUARY 27, 2024

The Role of Data Journeys in RAG The underlying data must be meticulously managed throughout its journey for RAG to function optimally. This is where DataOps comes into play, offering a framework for managing Data Journeys with precision and agility.

Data Quality 118

Data Quality Unstructured Data Testing Data-driven 118

AWS Big Data

FEBRUARY 20, 2024

Managed AWS Analytics and Database services allow for each component of the solution, from ingestion to analysis, to be optimized for speed, with little management overhead. Transactional data storage In this solution, we use Amazon DynamoDB as our transactional data store.

Visualization 124

Visualization Cost-Benefit Optimization B2B 124

CDW Research Hub

JANUARY 24, 2022

Snowflake is the data cloud that boasts instant elasticity, secure data sharing, and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Adding data sources.

Structured Data 87

Structured Data Consulting Strategy Data Strategy 87

CIO Business Intelligence

OCTOBER 19, 2023

user-generated data across social platforms exploded in the form of audio, video, images, and others. Unstructured data is challenging because it lacks a predefined format and doesn’t have a consistent schema or searchable attributes. Like structured data sets that are stored in the database, these don’t have searchable attributes.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

CIO Business Intelligence

MAY 21, 2024

“We were using LLMs for chat support for administrators and employees, but when you get into vector data, and large graphical structures with a couple of hundred million rows of inter-related data and you want to optimize towards a predictive model for the future, you can’t get anywhere with LLMs,” says MakeShift CTO Danny McGuinness.

IT 131

IT Cost-Benefit Experimentation Forecasting 131

Octopai

MARCH 22, 2023

This can be more cost-effective than traditional data warehousing solutions that require a significant upfront investment. Support for multiple data structures. Unlike traditional data warehouse platforms, snowflake supports both structured and semi-structured data.

Data Warehouse 103

Data Warehouse Cost-Benefit Unstructured Data Optimization 103

AWS Big Data

JANUARY 6, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

Analytics 98

Analytics Data Warehouse Metrics Big Data 98

Ontotext

JULY 24, 2023

Training LLM requires building robust data pipelines that are both highly optimized and flexible enough to easily include new sources of both public and proprietary data. Start with Structured Data The ideal way to experiment with LLM functionality is to focus on structured data at the start.

Modeling 98

Modeling Management Structured Data Data Architecture 98

Cloudera

MAY 17, 2021

Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform. You need to have the best price/performance to optimize your cost management.

Data Warehouse 90

Data Warehouse Measurement Reporting Testing 90