Octopai

AUGUST 3, 2022

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

Data Integration 98

Data Integration Manufacturing Data Quality Data Governance 98

CIO Business Intelligence

NOVEMBER 19, 2024

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean. Seamless data integration.

Management 116

Management Unstructured Data Deep Learning Metadata 116

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. Unlike direct Amazon S3 access, Iceberg supports these operations on petabyte-scale data lakes without requiring complex custom code.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

Corinium

APRIL 7, 2021

This brief explains how data virtualization, an advanced data integration and data management approach, enables unprecedented control over security and governance. In addition, data virtualization enables companies to access data in real time while optimizing costs and ROI.

Unstructured Data 195

Unstructured Data Management ROI Big Data 195

DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. After all, having a customer uncover a data error is always embarrassing and potentially damaging, so rigorous quality assurance within the Medallion architecture is critical.

Data Quality 195

Data Quality Testing Metrics Reporting 195

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 92

Data Lake Data Warehouse Data-driven Optimization 92

AWS Big Data

JUNE 19, 2023

Parameters can also help connect one dashboard to another, allowing a dashboard user to drill down into data that’s in a different analysis. With dataset parameters, authors can optimize the experience and load time of dashboards that are connected live to external SQL-based sources. With dataset parameters!

Optimization 92

Optimization Slice and Dice Dashboards Recreation/Entertainment 92

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. Data integration and cleaning. Data programming.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

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. While real-time data is processed by other applications, this setup maintains high-performance analytics without the expense of continuous processing.

IoT 108

IoT Machine Learning Metadata Data-driven 108

O'Reilly on Data

OCTOBER 11, 2022

So from the start, we have a data integration problem compounded with a compliance problem. An AI project that doesn’t address data integration and governance (including compliance) is bound to fail, regardless of how good your AI technology might be. Some of these tasks have been automated, but many aren’t.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Science 300

Cloudera

SEPTEMBER 18, 2024

Unique Data Integration and Experimentation Capabilities: Enable users to bridge the gap between choosing from and experimenting with several data sources and testing multiple AI foundational models, enabling quicker iterations and more effective testing.

Data-driven 91

Data-driven Optimization Experimentation Testing 91

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Companies implementing task orchestration tools can quickly generate new ideas and optimize existing processes to drive significant innovation. Integrating with various data sources is crucial for enhancing the capabilities of automation platforms , allowing enterprises to derive actionable insights from all available datasets.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

O'Reilly on Data

NOVEMBER 13, 2018

At the recent Strata Data conference we had a series of talks on relevant cultural, organizational, and engineering topics. Here's a list of a few clusters of relevant sessions from the recent conference: Data Integration and Data Pipelines. Data Platforms. Model lifecycle management. Culture and organization.

Machine Learning 277

Machine Learning Risk Management Statistics 277

CIO Business Intelligence

OCTOBER 24, 2024

Forrester said gen AI will affect process design, development, and data integration, thereby reducing design and development time and the need for desktop and mobile interfaces. Forrester predicts that vague business objectives and premature integration in decision-making will create confusion when it comes to leveraging AI agents.

ROI 127

ROI Data-driven Enterprise Experimentation 127

DataKitchen

APRIL 28, 2021

In Figure 1, the nodes could be sources of data, storage, internal/external applications, users – anything that accesses or relates to data. Data fabrics provide reusable services that span data integration, access, transformation, modeling, visualization, governance, and delivery.

Statistics 246

Statistics Optimization Data Analytics Technology 246

CIO Business Intelligence

APRIL 8, 2025

Recognizing and rewarding data-centric achievements reinforces the value placed on analytical ability. Establishing clear accountability ensures data integrity. Implementing Service Level Agreements (SLAs) for data quality and availability sets measurable standards, promoting responsibility and trust in data assets.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

SEPTEMBER 11, 2024

AWS Transfer Family seamlessly integrates with other AWS services, automates transfer, and makes sure data is protected with encryption and access controls. Conclusion In this post, we showed you how HPE Aruba Supply Chain successfully re-architected and deployed their data solution by adopting a modern data architecture on AWS.

Data Architecture 106

Data Architecture Optimization Data Warehouse Metadata 106

datapine

NOVEMBER 11, 2021

Improved decision-making: Making decisions based on data instead of human intuition can be defined as the core benefit of BI software. By optimizing every single department and area of your business with powerful insights extracted from your own data you will ensure your business succeeds in the long run. click to enlarge**.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

datapine

FEBRUARY 10, 2021

Likes, comments, shares, reach, CTR, conversions – all have become extremely significant to optimize and manage regularly in order to grow in our competitive digital environment. You need to know how the audience responds, whether you need further adjustments, and how to gather accurate, real-time data. With more than 2.70

Dashboards 193

Dashboards Scorecard KPI Metrics 193

CIO Business Intelligence

OCTOBER 9, 2024

How will organizations wield AI to seize greater opportunities, engage employees, and drive secure access without compromising data integrity and compliance? While it may sound simplistic, the first step towards managing high-quality data and right-sizing AI is defining the GenAI use cases for your business.

Strategy 143

Strategy Modeling Management Data Lake 143

AWS Big Data

NOVEMBER 22, 2024

Important considerations for preview As you begin using automated Spark upgrades during the preview period, there are several important aspects to consider for optimal usage of the service: Service scope and limitations – The preview release focuses on PySpark code upgrades from AWS Glue versions 2.0 to version 4.0.

Cost-Benefit 103

Cost-Benefit Data-driven Software Testing 103

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

JULY 13, 2023

The Altron team created an AWS Glue crawler and configured it to run against Azure SQL to discover its tables.

Optimization 98

Optimization B2B Data Quality Sales 98

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

Jet Global

NOVEMBER 20, 2024

Leveraging the advanced tools of the Vertex AI platform, Gemini models, and BigQuery, organizations can harness AI-driven insights and real-time data analysis, all within the trusted Google Cloud ecosystem. We believe an actionable business strategy begins and ends with accessible data.

Analytics 59

Analytics Digital Transformation Business Intelligence Data-driven 59

O'Reilly on Data

MAY 21, 2019

Not surprisingly, data integration and ETL were among the top responses, with 60% currently building or evaluating solutions in this area. In an age of data-hungry algorithms, everything really begins with collecting and aggregating data. and managed services in the cloud.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. It’s the foundational architecture and data integration capability for high-value data products. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

CIO Business Intelligence

DECEMBER 20, 2022

The benefits of hybrid multicloud in healthcare When it comes to cloud adoption, the healthcare industry has been slow to relinquish the traditional on-premises data center due to strict regulatory and security requirements and concerns around interoperability and data integration.

Cost-Benefit 134

Cost-Benefit Optimization Software Machine Learning 134

AWS Big Data

DECEMBER 20, 2023

AWS Glue is a serverless data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning (ML), and application development. One of the most common questions we get from customers is how to effectively optimize costs on AWS Glue.

Cost-Benefit 118

Cost-Benefit Optimization Big Data Data Integration 118

DataKitchen

DECEMBER 9, 2022

By providing real-time visibility into the performance and behavior of data-related systems, DataOps observability enables organizations to identify and address issues before they become critical, and to optimize their data-related workflows for maximum efficiency and effectiveness.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

Smart Data Collective

OCTOBER 13, 2021

Agile BI and Reporting, Single Customer View, Data Services, Web and Cloud Computing Integration are scenarios where Data Virtualization offers feasible and more efficient alternatives to traditional solutions. Does Data Virtualization support web data integration? In improving operational processes.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

DataKitchen

AUGUST 16, 2024

At DataKitchen, we think of this is a ‘meta-orchestration’ of the code and tools acting upon the data. Data Pipeline Observability: Optimizes pipelines by monitoring data quality, detecting issues, tracing data lineage, and identifying anomalies using live and historical metadata.

Marketing 124

Marketing Data Quality Testing Metadata 124

AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

Analytics 116

Analytics Data-driven Data Integration Data Lake 116

AWS Big Data

JULY 29, 2024

Despite their advantages, traditional data lake architectures often grapple with challenges such as understanding deviations from the most optimal state of the table over time, identifying issues in data pipelines, and monitoring a large number of tables. It is essential for optimizing read and write performance.

Metadata 125

Metadata Snapshot Data Lake Metrics 125

AWS Big Data

NOVEMBER 29, 2024

By using the AWS Glue OData connector for SAP, you can work seamlessly with your data on AWS Glue and Apache Spark in a distributed fashion for efficient processing. AWS Glue OData connector for SAP uses the SAP ODP framework and OData protocol for data extraction.

Visualization 101

Visualization Data Processing Data-driven Cost-Benefit 101