AWS Big Data

APRIL 30, 2024

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language.

Data Integration 102

Data Integration Data Lake Data Warehouse Software 102

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

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

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 85

Recreation/Entertainment Unstructured Data Business Intelligence Data-driven 85

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 Modeling 130

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 75

Testing Data Lake Cost-Benefit Data Integration 75

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

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 109

Data Lake Big Data Software Interactive 109

AWS Big Data

AUGUST 22, 2023

This post proposes an automated solution by using AWS Glue for automating the PostgreSQL data archiving and restoration process, thereby streamlining the entire procedure. You can create an AWS Cloud9 environment in one of the private subnets available in your AWS account to set up test data in Amazon RDS. modules, respectively.

Data Processing 85

Data Processing Testing Data Lake Data Integration 85

AWS Big Data

FEBRUARY 29, 2024

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. For detailed implementation guidance, refer to Unstructured data management and governance using AWS AI/ML and analytics services.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

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

AWS Big Data

DECEMBER 21, 2023

Movement of data across data lakes, data warehouses, and purpose-built stores is achieved by extract, transform, and load (ETL) processes using data integration services such as AWS Glue. AWS Glue provides both visual and code-based interfaces to make data integration effortless.

Analytics 95

Analytics IT Data Lake Visualization 95

Ontotext

JANUARY 26, 2023

These 30 layers can be split into two kinds: a location-reference layer and a topic layer. The authors address the challenge of interoperability in the digitalization of mobility systems and introduce a reference architecture for the Shift2Rail Interoperability Framework (IF). The current graph release (called Vienna ) contains 12.5B

Interactive 52

Interactive Metadata Data Integration Data-driven 52

AWS Big Data

FEBRUARY 8, 2023

Vyaire developed a custom data integration platform, iDataHub, powered by AWS services such as AWS Glue , AWS Lambda , and Amazon API Gateway. In this post, we share how we extracted data from SAP ERP using AWS Glue and the SAP SDK. For more information, refer to Download and Installation of NW RFC SDK.

Testing 73

Testing Data Integration Data Lake Enterprise 73

AWS Big Data

NOVEMBER 20, 2023

For any modern data-driven company, having smooth data integration pipelines is crucial. These pipelines pull data from various sources, transform it, and load it into destination systems for analytics and reporting. For instructions, refer to Create a CloudWatch alarm based on a static threshold.

Metrics 95

Metrics Data Lake Cost-Benefit Dashboards 95

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 259

Machine Learning Data Quality Statistics Modeling 259

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 139

Revenue Optimization Measurement Marketing Interactive 139

AWS Big Data

OCTOBER 20, 2023

Regarding the Azure Data Lake Storage Gen2 Connector, we highlight any major differences in this post. AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. For Glue version , choose your AWS Glue version.

Data Lake 83

Data Lake Big Data Consulting Data Warehouse 83

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 Technology Data Analytics 246

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 68

Data Quality Data Integration Metadata Cost-Benefit 68

AWS Big Data

SEPTEMBER 20, 2023

With this functionality, you’re empowered to focus on extracting valuable insights from their data, while AWS Glue handles the infrastructure heavy lifting using a serverless compute model. To get started today, refer to Developing AWS Glue jobs with Notebooks and Interactive sessions. Big Data Architect. Zach Mitchell is a Sr.

Interactive 89

Interactive Visualization Measurement Data Architecture 89

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

APRIL 3, 2024

Manage your Iceberg table with AWS Glue You can use AWS Glue to ingest, catalog, transform, and manage the data on Amazon Simple Storage Service (Amazon S3). With AWS Glue, you can discover and connect to more than 70 diverse data sources and manage your data in a centralized data catalog. Nidhi Gupta is a Sr.

Data Lake 94

Data Lake Snapshot Metadata Data Architecture 94

FineReport

JUNE 11, 2021

According to the definition, business intelligence and analytics refer to the data management solutions implemented in companies to collect, analyze and drive insights from data. BI Dashboard (by FineReport). Note: the reports and dashboards samples used here are made with FineReport. Feel free to try and apply. Free Download.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

Ontotext

AUGUST 22, 2023

Worse, and according to Gartner, upward of 80% of enterprise data today is unstructured which further exacerbates the loss of knowledge, insights, and the wisdom needed to make effective business choices. As a result, organizations are looking for fresh data integration approaches to challenge the mindset with which we created them.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

IBM Big Data Hub

NOVEMBER 14, 2023

Innovating at scale is made possible with IBM Z modernization tools like Wazi Image Builder, Wazi Dev Spaces on OpenShift, CI/CD pipelines, z/OS Connect for APIs, zDIH for data integrations, and IBM Watson for generative AI. What are the benefits of Wazi as a service on IBM Cloud?

Digital Transformation 102

Digital Transformation Testing Interactive Software 102

AWS Big Data

MARCH 14, 2024

The unwavering reliability of Kafka aligns with our commitment to data integrity. The integration of Ruby services with Kafka is streamlined through the Karafka library, acting as a higher-level wrapper. For more information, refer to Data protection in Amazon Managed Streaming for Apache Kafka.

Management 107

Management Insurance Optimization Strategy 107

Ontotext

APRIL 10, 2024

Knowledge graphs and semantic metadata Knowledge graphs (KGs) are the key to: Advanced Data Architecture & Models like Data Fabric, Data Mesh Unified Data Access Semantic Data Integration These fundamental capabilities of KGs enable them to bridge the chasm between information and knowledge in the DIKW pyramid.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

FineReport

AUGUST 14, 2020

For open-source reporting tools, you can refer to this article? For popular reporting tools on the market, you can refer to: Best Reporting Tools List in 2020 and How to Choose. Based on the process from data to knowledge, a standard reporting system’s functional architecture is shown below.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Smart Data Collective

NOVEMBER 10, 2021

Without this knowledge, the result can be compromised data or ruined data integrity. Other common issues include duplicate data, which may need to be merged; obsolete data, which will need to be deleted before conversion; and incorrect data, which may result in the need for a manual fix.

Testing 119

Testing Data Integration Software Modeling 119

AWS Big Data

JANUARY 12, 2024

This solution is suitable for customers who don’t require real-time ingestion to OpenSearch Service and plan to use data integration tools that run on a schedule or are triggered through events. Before data records land on Amazon S3, we implement an ingestion layer to bring all data streams reliably and securely to the data lake.

Data Lake 93

Data Lake Cost-Benefit Visualization Structured Data 93

AWS Big Data

JULY 19, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. Prerequisites You need the following prerequisites: An account in Google Cloud and your data path in Google Cloud Storage. Choose Run to run your job.

Big Data 80

Big Data Software Consulting Unstructured Data 80

AWS Big Data

NOVEMBER 10, 2023

By combining these Redshift tables with the source system AWS Glue Data Catalog tables from the EDL within production PySpark pipelines, the connector enables seamless integration of data from multiple sources while maintaining data integrity.

Data Processing 91

Data Processing Data Lake Data Warehouse Optimization 91

datapine

AUGUST 20, 2019

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Videos, pictures etc.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

JUNE 6, 2023

You can then augment recommendations with out-of-the-box data quality rules. The following table lists the rules that are supported by AWS Glue Data Quality as of writing. For an up-to-date list, refer to Data Quality Definition Language (DQDL). Useful for customers to compare if all data is ingested from source systems.

Data Quality 93

Data Quality Statistics Data Lake Visualization 93

IBM Big Data Hub

JANUARY 11, 2024

Let’s start with some commonly used terms: Disaster recovery (DR): Disaster recovery (DR) refers to an enterprise’s ability to recover from an unplanned event that impacts normal business operations. Strong DR planning helps businesses protect critical data and restore normal processes in a matter of days, hours and even minutes.

Cost-Benefit 103

Cost-Benefit Risk Enterprise Software 103

Ontotext

OCTOBER 19, 2023

The end goal is to give control of health data to patients so that they can build a comprehensive, interoperable, and reusable health medical record, which they can share with their treating physician anytime, anywhere. AIDAVA starts with AI – what is the role of AI in this project?

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64