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. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

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

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. Security Data security is a high priority.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions. Andries has over 20 years of experience in the field of data and analytics.

Data Lake 126

Data Lake Snapshot Metadata Data Architecture 126

CIO Business Intelligence

NOVEMBER 14, 2022

While many organizations still struggle to get started, the most innovative organizations are using modern analytics to improve business outcomes, deliver personalized experiences, monetize data as an asset, and prepare for the unexpected. Being locked into a data architecture that can’t evolve isn’t acceptable.”

Analytics 111

Analytics Machine Learning Testing Data Strategy 111

AWS Big Data

NOVEMBER 28, 2023

We think that by automating the undifferentiated parts, we can help our customers increase the pace of their data-driven innovation by breaking down data silos and simplifying data integration. This integration is currently in limited preview, use this link to request access.

Data Warehouse 124

Data Warehouse Data-driven Machine Learning B2B 124

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.

Data Warehouse 110

Data Warehouse Machine Learning Data-driven Data Lake 110

AWS Big Data

JANUARY 30, 2025

AWS Step Functions With AWS Step Functions, you can create workflows, also called State machines, to build distributed applications, automate processes, orchestrate microservices, and create data and machine learning pipelines. These include data discovery, modern ETL, cleansing, transforming, and centralized cataloging.

Data Warehouse 54

Data Warehouse Data Architecture Machine Learning Data Transformation 54

BI-Survey

AUGUST 21, 2020

The primary modernization approach is data warehouse/ETL automation, which helps promote broad usage of the data warehouse but can only partially improve efficiency in data management processes. However, an automation approach alone is of limited usefulness when data management processes are inefficient.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

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. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

NOVEMBER 29, 2023

Since then, customer demands for better scale, higher throughput, and agility in handling a wide variety of changing, but increasingly business critical analytics and machine learning use cases has exploded, and we have been keeping pace. Here’s a couple of highlights from this week and for the full list, see below.

Data Warehouse 129

Data Warehouse Analytics Data Lake Machine Learning 129

CIO Business Intelligence

APRIL 25, 2022

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. The joint solution with Labelbox is targeted toward media companies and is expected to help firms derive more value out of unstructured data.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

AWS Big Data

JANUARY 6, 2025

Conclusion In this post, we walked you through the process of using Amazon AppFlow to integrate data from Google Ads and Google Sheets. We demonstrated how the complexities of data integration are minimized so you can focus on deriving actionable insights from your data.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. Figure 2: Apache Iceberg within Cloudera Data Platform. #5: 1: Multi-function analytics .

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 79

Management Metadata Data Architecture Data Lake 79

CIO Business Intelligence

APRIL 5, 2022

By consolidating and enriching data assets from disparate sources across the enterprise, these next-gen warehouses allow businesses to deploy advanced analytics – the autonomous (or semi-autonomous) examination of data using cutting-edge techniques such as machine learning and complex event processing.

Data Warehouse 98

Data Warehouse Visualization Data-driven Data Architecture 98

CIO Business Intelligence

NOVEMBER 7, 2023

This team has helped the company to align data across business areas; establish a data governance function to enable trust, privacy, and security of the data; and invest in the talent and technology needed to build a holistic data architecture across Lexmark, Gupta says.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

datapine

AUGUST 20, 2019

Big data: Architecture and Patterns. The Big data problem can be comprehended properly using a layered architecture. Big data architecture consists of different layers and each layer performs a specific function. The architecture of Big data has 6 layers. Artificial Intelligence.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

NOVEMBER 13, 2023

He highlights innovations in data, infrastructure, and artificial intelligence and machine learning that are helping AWS customers achieve their goals faster, mine untapped potential, and create a better future. KEY003 | Swami Sivasubramanian (Vice President, Data and AI at AWS) | Nov.

Analytics 118

Analytics Data Lake Data Warehouse Data-driven 118

Data Virtualization

JULY 8, 2020

In my last post, I covered some of the latest best practices for enhancing data management capabilities in the cloud. Despite the increasing popularity of cloud services, enterprises continue to struggle with creating and implementing a comprehensive cloud strategy that.

Data Integration 52

Data Integration Strategy Enterprise Management 52

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift enables you to use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price-performance at scale.

Data Warehouse 110

Data Warehouse Analytics Data Lake Data Science 110

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. Prahalathan M is the Data Integration Architect at Vyaire Medical Inc.

Testing 103

Testing Data Integration Data Lake Enterprise 103

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Machine Learning Consulting 78

AWS Big Data

APRIL 29, 2024

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS).

Management 115

Management Big Data Data Warehouse Metadata 115

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. These robust capabilities ensure that data within the data lake remains accurate, consistent, and reliable.

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Ontotext

JANUARY 10, 2024

And each of these gains requires data integration across business lines and divisions. Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

JUNE 10, 2024

For consumer access, a centralized catalog is necessary where producers can publish their data assets. Cross-producer data access – Consumers may need to access data from multiple producers within the same catalog environment.

Data Lake 115

Data Lake Metadata Data Warehouse Data Processing 115

Data Virtualization

JANUARY 17, 2023

Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key.

Data Architecture 52

Data Architecture Data Integration Management Metadata 52

AWS Big Data

JUNE 10, 2024

This amalgamation empowers vendors with authority over a diverse range of workloads by virtue of owning the data. This authority extends across realms such as business intelligence, data engineering, and machine learning thus limiting the tools and capabilities that can be used.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

Ontotext

AUGUST 4, 2023

A data fabric utilizes an integrated data layer over existing, discoverable, and inferenced metadata assets to support the design, deployment, and utilization of data across enterprises, including hybrid and multi-cloud platforms.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

IBM Big Data Hub

JUNE 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. gene expression; microbiome data) and any tabular data (e.g., clinical) using a range of machine learning models.

Informatics 62

Informatics Consulting Cost-Benefit Data Architecture 62

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Introducing the next generation of Amazon SageMaker AWS announces the next generation of Amazon SageMaker, a unified platform for data, analytics, and AI. enables you to develop, run, and scale your data integration workloads and get insights faster. With AWS Glue 5.0, AWS Glue 5.0 AWS Glue 5.0

Analytics 60

Analytics Data Lake Metadata Data Warehouse 60

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 98

Data Strategy Strategy Data Warehouse Prescriptive Analytics 98

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Find out more about CDP, modern data architectures and AI here.

Insurance 83

Insurance Risk Data-driven Finance 83

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog.

Metadata 58

Metadata Data Lake Machine Learning Big Data 58

Data Virtualization

MARCH 1, 2023

Reading Time: 4 minutes Some say that data is the new “black gold,” but I believe that just like crude oil, data has little value until you extract it, refine it, and put it to use. In this post, I will share some of.

Data Integration 52

Data Integration Management IT Data Architecture 52

Data Virtualization

MARCH 1, 2023

Reading Time: 4 minutes Some say that data is the new “black gold,” but I believe that just like crude oil, data has little value until you extract it, refine it, and put it to use. In this post, I will share some of.

Data Integration 52

Data Integration Management IT Data Architecture 52