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 79

Cost-Benefit Data Warehouse Data Processing Data Governance 79

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. times more effective than traditional mass marketing.

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 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 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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 91

Data Lake Data Warehouse Data-driven B2B 91

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

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

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 Consulting Enterprise 78

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 86

Finance Metadata Big Data Recreation/Entertainment 86

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 98

Analytics Data Warehouse Testing Dashboards 98

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

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 105

Data Lake Sales Data Warehouse Snapshot 105

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

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