AWS Big Data

APRIL 29, 2024

Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 98

Management Big Data Metadata Data Warehouse 98

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

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 . 3: Open Performance.

Metadata 90

Metadata Data Architecture Machine Learning Cost-Benefit 90

AWS Big Data

APRIL 28, 2023

The third post will show how end-users can consume data from their tool of choice, without compromising data governance. When building a scalable data architecture on AWS, giving autonomy and ownership to the data domains are crucial for the success of the platform. Hassen Riahi is a Sr.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

IBM Big Data Hub

JULY 5, 2023

In the case of Hadoop, one of the more popular data lakes, the promise of implementing such a repository using open-source software and having it all run on commodity hardware meant you could store a lot of data on these systems at a very low cost. Data governance remains an unexplored frontier for this technology.

Data Lake 61

Data Lake Metadata Cost-Benefit Data Warehouse 61

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

IBM Big Data Hub

JULY 13, 2023

This is the practice of creating, updating and consistently enforcing the processes, rules and standards that prevent errors, data loss, data corruption, mishandling of sensitive or regulated data, and data breaches. Data science tasks such as machine learning also greatly benefit from good data integrity.

Data Quality 64

Data Quality Data Integration Metadata Cost-Benefit 64

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. The following diagram illustrates the different pipelines to ingest data from various source systems using AWS services.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

IBM Big Data Hub

JUNE 30, 2022

The diversity of data types, data processing, integration and consumption patterns used by organizations has grown exponentially. Organizations with data strategies that lack these factors often capture only a small percentage of the potential value of their data and can even increase costs without significant benefits.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Alation

JULY 28, 2022

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Sisense

JULY 6, 2020

First off, this involves defining workflows for every business process within the enterprise: the what, how, why, who, when, and where aspects of data. Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

AWS Big Data

MARCH 10, 2023

You can simplify your data strategy by running multiple workloads and applications on the same data in the same location. In this post, we show how you can build a serverless transactional data lake with Apache Iceberg on Amazon Simple Storage Service (Amazon S3) using Amazon EMR Serverless and Amazon Athena.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

Ontotext

FEBRUARY 12, 2024

The data mesh concept will mitigate cognitive overload when building data-driven organizations that require intense technical, domain, and operational knowledge. A centralized data engineering team focuses on building a governed self-serviced infrastructure, while domain teams use the services to build full-stack data products.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Andrew White

JANUARY 9, 2022

Yet there is no inclusion in the conversation about the costs and issues related to the battery and materials used in the most expensive part of the EV. Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Modeling Data-driven 64