Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

OCTOBER 3, 2023

Over the years, data lakes on Amazon Simple Storage Service (Amazon S3) have become the default repository for enterprise data and are a common choice for a large set of users who query data for a variety of analytics and machine leaning use cases. Analytics use cases on data lakes are always evolving. Choose ETL Jobs.

Data Lake 121

Data Lake Metadata Snapshot Recreation/Entertainment 121

CIO Business Intelligence

AUGUST 7, 2023

While the changes to the tech stack are minimal when simply accessing gen AI services, CIOs will need to be ready to manage substantial adjustments to the tech architecture and to upgrade data architecture. In either case, CIOs need to develop pipelines to connect gen AI models to internal data sources.

Sales 98

Sales Modeling Cost-Benefit Data Processing 98

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. without integration delays or having to deal with fragmented data silos that result in operational inefficiencies. . In particular, SDX enables clients to: .

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift.

Data-driven 110

Data-driven Data Lake Data Quality Data Governance 110

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. Data Ingestion Parameters.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

MARCH 10, 2023

Tracking data changes and rollback Build your transactional data lake on AWS You can build your modern data architecture with a scalable data lake that integrates seamlessly with an Amazon Redshift powered cloud warehouse. Data can be organized into three different zones, as shown in the following figure.

Data Lake 121

Data Lake Sales Data Warehouse Snapshot 121

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 102

Data Strategy Strategy Data Warehouse Prescriptive Analytics 102

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 110

Analytics Data Warehouse Dashboards Testing 110

AWS Big Data

JULY 14, 2023

These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture. Our source system and domain teams were mapped as data producers, and they would have ownership of the datasets.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98

AWS Big Data

JULY 16, 2024

Systematically detect potential threats and react to a system’s state through alerting, and integrating those alerts back into Zurich’s SIEM for larger correlation, reducing by approximately 85% the amount of data ingestion into Zurich’s SIEM. She currently serves as the Global Head of Cyber Data Management at Zurich Group.

Insurance 129

Insurance Management Cost-Benefit Optimization 129

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 114

Data Warehouse KPI Optimization Cost-Benefit 114

Ontotext

DECEMBER 1, 2023

Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.

Metadata 78

Metadata Sales Machine Learning Consulting 78

CIO Business Intelligence

AUGUST 10, 2022

Some organisations, for example, remain steadfastly off the cloud, making it difficult to leverage AI and machine learning capabilities, while others suffer from disorganised data architecture that can lead to incomplete or inaccessible analytics, vital for informing business strategy and enabling personalised experiences.

Data-driven 52

Data-driven Data Processing Risk Data Architecture 52

Alation

FEBRUARY 20, 2020

Alation Connect previously synced metadata and query logs from data storage systems including the Hive Metastore on Hadoop and databases from Teradata, IBM, Oracle, SqlServer, Redshift, Vertica, SAP Hana and Greenplum. We decided to address these needs for SQL engines over Hadoop in Alation 4.0. In the release of Alation 4.0,

Metadata 52

Metadata Enterprise Data Processing Data Architecture 52

FineReport

MARCH 31, 2024

The selection of the best BI tools stands as a critical step in leveraging data effectively, driving success, and maintaining competitive advantage in modern markets. Data-driven Decisions: BI tools empower businesses to make informed decisions by furnishing actionable insights, optimizing operations, and uncovering growth opportunities.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

AUGUST 7, 2024

The initiative has enhanced coordination, as automation APIs facilitate interaction with security tools as well as streamline coordination and enhance mitigation responses. Options included hosting a secondary data center, outsourcing business continuity to a vendor, and establishing private cloud solutions.

IT 119

IT Insurance Cost-Benefit Testing 119

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Yes—but basic dashboards won’t be enough.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

MAY 1, 2025

Their Clinical Insights Data Science team processes sensitive patient outcome data requiring HIPAA compliance and dedicated resources, and their Digital Analytics team handles website interaction data with more flexible requirements. The following architecture diagram illustrates the components and their interactions.

Cost-Benefit 65

Cost-Benefit Interactive Management Data Processing 65

AWS Big Data

FEBRUARY 28, 2025

In modern data architectures, the need to manage and query vast datasets efficiently, consistently, and accurately is paramount. For organizations that deal with big data processing, managing metadata becomes a critical concern. Suvojit Dasgupta is a Principal Data Architect at AWS.

Metadata 71

Metadata Data Lake Data Processing Data Architecture 71

AWS Big Data

APRIL 28, 2025

When the user interacts with resources within SageMaker Unified Studio, it generates IAM session credentials based on the users effective profile in the specific project context, and then users can use tools such as Amazon Athena or Amazon Redshift to query the relevant data. Host : Enter the Amazon Redshift managed VPC endpoint.

Metadata 62

Metadata Data Lake Big Data Publishing 62

AWS Big Data

OCTOBER 30, 2024

This is the final part of a three-part series where we show how to build a data lake on AWS using a modern data architecture. This post shows how to process data with Amazon Redshift Spectrum and create the gold (consumption) layer. His focus areas are MLOps, feature stores, data lakes, model hosting, and generative AI.

Data Lake 97

Data Lake Machine Learning Data Architecture Data-driven 97