AWS Big Data

JULY 26, 2023

Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

Data Integration 94

Data Integration Snapshot Testing Visualization 94

David Menninger's Analyst Perspectives

OCTOBER 7, 2021

In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal. We currently refer to this technology as data virtualization.

Technology 246

Technology Management Data Lake IT 246

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.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

AWS Big Data

DECEMBER 9, 2024

The importance of publishing only high-quality data cant be overstatedits the foundation for accurate analytics, reliable machine learning (ML) models, and sound decision-making. AWS Glue is a serverless data integration service that you can use to effectively monitor and manage data quality through AWS Glue Data Quality.

Data Quality 123

Data Quality Publishing Snapshot Data Lake 123

AWS Big Data

NOVEMBER 15, 2024

This post shows you how to enrich your AWS Glue Data Catalog with dynamic metadata using foundation models (FMs) on Amazon Bedrock and your data documentation. AWS Glue is a serverless data integration service that makes it straightforward for analytics users to discover, prepare, move, and integrate data from multiple sources.

Metadata 115

Metadata Modeling Data-driven Machine Learning 115

AWS Big Data

DECEMBER 17, 2024

To generate accurate SQL queries, Amazon Bedrock Knowledge Bases uses database schema, previous query history, and other contextual information that is provided about the data sources. Launch summary Following is the launch summary which provides the announcement links and reference blogs for the key announcements.

Data Lake 95

Data Lake Data Warehouse Data-driven Optimization 95

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

Alation

AUGUST 9, 2022

But in the four years since it came into force, have companies reached their full potential for data integrity? But firstly, we need to look at how we define data integrity. What is data integrity? Many confuse data integrity with data quality. Is integrity a universal truth?

Data Integration 52

Data Integration Data Quality Measurement Strategy 52

AWS Big Data

DECEMBER 4, 2024

From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. This experience includes visual ETL, a new visual interface that makes it simple for data engineers to author, run, and monitor extract, transform, load (ETL) data integration flow.

Visualization 115

Visualization Sales Data-driven Analytics 115

DataKitchen

NOVEMBER 5, 2024

This stage involves validation, deduplication, and merging of data from different sources, ensuring that the data is in a more consistent and reliable format. For instance, records may be cleaned up to create unique, non-duplicated transaction logs, master customer records, and cross-reference tables.

Data Quality 195

Data Quality Testing Metrics Reporting 195

AWS Big Data

OCTOBER 11, 2024

It covers the essential steps for taking snapshots of your data, implementing safe transfer across different AWS Regions and accounts, and restoring them in a new domain. This guide is designed to help you maintain data integrity and continuity while navigating complex multi-Region and multi-account environments in OpenSearch Service.

Snapshot 109

Snapshot Dashboards Management Testing 109

AWS Big Data

JANUARY 6, 2025

In your Google Cloud project, youve enabled the following APIs: Google Analytics API Google Analytics Admin API Google Analytics Data API Google Sheets API Google Drive API For more information, refer to Amazon AppFlow support for Google Sheets. Refer to the Amazon Redshift Database Developer Guide for more details.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

Smart Data Collective

JANUARY 1, 2024

There are many clear benefits of running a data-driven business. Unfortunately, those benefits can be quickly negated if you don’t make data integrity a priority. Spam, sometimes referred to as junk email, […]

Data-driven 122

Data-driven Data Integration IT Big Data 122

AWS Big Data

NOVEMBER 11, 2024

We refer to this role as TheSnapshotRole in this post. For instructions, refer to the earlier section in this post. For instructions, refer to the earlier section in this post. For instructions, see Creating an IAM role (console).

Snapshot 109

Snapshot Strategy Dashboards Data Lake 109

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

Ontotext

AUGUST 24, 2023

The second approach is to use some Data Integration Platform. As an enterprise-supported tool, it has already established how to make all data transformations. This makes it possible for other users to reference the information without losing this link after an update. Persistent or non-persistent IDs?

Data Integration 52

Data Integration Modeling Business Objectives Optimization 52

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

David Menninger's Analyst Perspectives

NOVEMBER 21, 2018

Once again I attended Tableau's Users Conference, along with 17,000 other attendees, affectionately self-referred to as "data nerds".

Data Lake 160

Data Lake Data Integration Data Governance Software 160

AWS Big Data

DECEMBER 4, 2024

SageMaker still includes all the existing ML and AI capabilities you’ve come to know and love for data wrangling, human-in-the-loop data labeling with Amazon SageMaker Ground Truth , experiments, MLOps, Amazon SageMaker HyperPod managed distributed training, and more.

Data Analytics 100

Data Analytics Analytics Data Lake Data Quality 100

AWS Big Data

DECEMBER 16, 2024

Third, some services require you to set up and manage compute resources used for federated connectivity, and capabilities like connection testing and data preview arent available in all services. To solve for these challenges, we launched Amazon SageMaker Lakehouse unified data connectivity.

Visualization 87

Visualization Data Processing Testing Publishing 87

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. For more information about cost-saving best practices, refer to Monitor and optimize cost on AWS Glue for Apache Spark.

Cost-Benefit 119

Cost-Benefit Optimization Big Data Data Integration 119

DataKitchen

OCTOBER 20, 2023

The Solution: ‘Payload’ Data Journeys Traditional Data Observability usually focuses on a ‘process journey,’ tracking the performance and status of data pipelines. ’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event.

Insurance 169

Insurance Metadata Data-driven Data Quality 169

AWS Big Data

JUNE 25, 2024

It provides secure, real-time access to Redshift data without copying, keeping enterprise data in place. This eliminates replication overhead and ensures access to current information, enhancing data integration while maintaining data integrity and efficiency.

Data Lake 121

Data Lake Cost-Benefit Data-driven Data Warehouse 121

David Menninger's Analyst Perspectives

OCTOBER 24, 2024

Although the terms data fabric and data mesh are often used interchangeably, I previously explained that they are distinct but complementary. I assert that by 2027, three-quarters of enterprises will adopt data fabric technologies to facilitate the management and processing of data across multiple data platforms and cloud environments.

Management 130

Management Data-driven Data Governance Data Lake 130

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. Choose Create connection. Choose Next.

Analytics 118

Analytics Data-driven Data Integration Data Lake 118

AWS Big Data

JANUARY 26, 2023

AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources. AWS Glue provides an extensible architecture that enables users with different data processing use cases. Refer to AWS Glue job parameters for more details.

Data Lake 134

Data Lake Big Data Software Interactive 134

Ontotext

JUNE 10, 2021

This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data. Further, “ML-Augmented data integration is making active metadata analysis and semantic knowledge graphs pivotal parts of the data fabric””.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

DataKitchen

DECEMBER 9, 2022

The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes. ChatGPT> DataOps is a term that refers to the set of practices and tools that organizations use to improve the quality and speed of data analytics and machine learning.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

AWS Big Data

SEPTEMBER 3, 2024

Data volume can increase significantly over time, and it often requires concurrent consumption of large compute resources. Data integration workloads can become increasingly concurrent as more and more applications demand access to data at the same time.

Data Integration 121

Data Integration Software Data-driven Big Data 121

Smart Data Collective

JUNE 1, 2022

Therefore, it is crucial to have a proper data security solution in place. Data integrity is important. Data integrity refers to the originality of data. If data is compromised, it can lead to some variations from the original, which is not good for business operations.

Revenue Optimization 145

Revenue Optimization Measurement Marketing Interactive 145

AWS Big Data

MAY 23, 2024

In today’s data-driven world, organizations often deal with data from multiple sources, leading to challenges in data integration and governance. This process is crucial for maintaining data integrity and avoiding duplication that could skew analytics and insights. csv" , header=True).createOrReplaceTempView("labeled")

Machine Learning 119

Machine Learning Interactive Recreation/Entertainment Data Integration 119

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis. To create an AWS HealthLake data store, refer to Getting started with AWS HealthLake. reference", SUBSTRING(a."patient"."reference",

Data Analytics 117

Data Analytics Analytics Data Warehouse Data Lake 117

AWS Big Data

AUGUST 8, 2024

In this post, we provide a step-by-step guide for installing and configuring Oracle GoldenGate for streaming data from relational databases to Amazon Simple Storage Service (Amazon S3) for real-time analytics using the Oracle GoldenGate S3 handler. For more details, refer to Operating System Requirements.

Analytics 110

Analytics Big Data Software Data Integration 110

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. For more details, refer to Spark Release 3.3.0 AWS Glue Data Catalog client 3.6.0

Testing 102

Testing Data Lake Cost-Benefit Data Integration 102

AWS Big Data

AUGUST 15, 2023

Some examples include AWS data analytics services such as AWS Glue for data integration, Amazon QuickSight for business intelligence (BI), as well as third-party software and services from AWS Marketplace. We deploy a Lambda function data source connector to connect AWS with Google Cloud Provider.

Recreation/Entertainment 98

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 98

Ontotext

JULY 29, 2021

We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. The two distinct threads interlacing in the current Semantic Web fabrics are the semantically annotated web pages with schema.org (structured data on top of the existing Web) and the Web of Data existing as Linked Open Data.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124