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

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Various data stores are supported in AWS Glue; for example, AWS Glue 4.0

Data Lake 137

Data Lake Data Warehouse Visualization Snapshot 137

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. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

SEPTEMBER 7, 2023

This blog post presents an architecture solution that allows customers to extract key insights from Amazon S3 access logs at scale. We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights.

Metadata 116

Metadata Dashboards Metrics Visualization 116

erwin

MAY 13, 2020

Metadata management is the key to managing and governing your data and drawing intelligence from it. Beyond harvesting and cataloging metadata , it also must be visualized to break down the complexity of how data is organized and what data relationships there are so that meaning is explicit to all stakeholders in the data value chain.

Data Governance 93

Data Governance Enterprise Modeling Management 93

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98

CIO Business Intelligence

APRIL 5, 2022

With code-free ETL/ELT pipeline generation, users can take data from its source to its target warehouse with simple drag-and-drop actions. Adding further agile data modelling functionalities into the product allows models to be updated and redeployed, enabling data architectures to evolve continuously to meet user needs.

Data Warehouse 98

Data Warehouse Visualization Data-driven Data Architecture 98

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

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. Big Data Ingestion.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

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

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Unified Studio brings together functionality and tools from the range of standalone studios, query editors, and visual tools available today in Amazon EMR , AWS Glue , Amazon Redshift , Amazon Bedrock , and the existing Amazon SageMaker Studio. With AWS Glue 5.0, AWS Glue 5.0 AWS Glue 5.0 Apache Iceberg 1.6.1,

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

AWS Big Data

NOVEMBER 29, 2023

Maximize value with comprehensive analytics and ML capabilities “Amazon Redshift is one of the most important tools we had in growing Jobcase as a company.” – Ajay Joshi, Distinguished Engineer, Jobcase With all your data integrated and available, you can easily build and run near real-time analytics to AI/ML/Generative AI applications.

Data Warehouse 130

Data Warehouse Analytics Data Lake Machine Learning 130

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

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. 1: Multi-function analytics . 1: Multi-function analytics . 2: Open formats.

Metadata 92

Metadata Data Architecture Machine Learning Cost-Benefit 92

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 119

Data Lake Cost-Benefit Visualization Structured Data 119

Ontotext

JULY 26, 2019

Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences. In the healthcare industry, data integration is of paramount importance. Read more at: [link].

Technology 75

Technology Enterprise Data Integration Structured Data 75

erwin

SEPTEMBER 16, 2024

Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption. Migration and modernization : It enables seamless transitions between legacy systems and modern platforms, ensuring your data architecture evolves without disruption.

Modeling 52

Modeling Visualization Data Governance Data Architecture 52

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

Consulting 87

Consulting B2B Sales Cost-Benefit 87

Ontotext

JULY 26, 2019

Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences. In the healthcare industry, data integration is of paramount importance. Read more at: [link].

Technology 40

Technology Data Integration Enterprise Structured Data 40

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 59

Metadata Data Lake Machine Learning Big Data 59

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

JANUARY 13, 2025

Its ability to process and transform massive datasets has made it an indispensable tool in modern data engineering. Amazon OpenSearch Service a community-driven search and analytics solutionempowers organizations to search, aggregate, visualize, and analyze data seamlessly.

Visualization 98

Visualization Interactive Data-driven Data Architecture 98

AWS Big Data

DECEMBER 2, 2024

More companies have realized there is an opportunity to integrate, enhance, and present this SaaS data to improve internal operations and gain valuable insights on their data. From there, they can perform meaningful analytics, gain valuable insights, and optionally push enriched data back to external SaaS platforms.

Data Lake 104

Data Lake Testing Data Integration Metadata 104

DataKitchen

JANUARY 23, 2023

Like an apartment blueprint, Data lineage provides a written document that is only marginally useful during a crisis. This is especially true in the case of the one-to-many, producer-to-consumer relationships we have on our data architecture. Are problems with data tests? They measure data sets at a point in time.

Testing 130

Testing Data Governance Data Quality Data-driven 130