AWS Big Data

APRIL 29, 2024

About the Authors Yuzhu Xiao is a Senior Data Development Engineer at Amber Group with extensive experience in cloud data platform architecture. Xin Zhang is an AWS Solutions Architect, responsible for solution consulting and design based on the AWS Cloud platform.

Management 98

Management Big Data Metadata Data Warehouse 98

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

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Data Governance Modeling Metadata Unstructured Data 144

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. defense budget.

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Cost-Benefit Data Governance Metadata Reporting 143

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. However, a significant amount of this spend is wasted as organizations struggle to optimize costs effectively. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Enterprise 78

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

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Metadata Dashboards Visualization Consulting 52

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.

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Data Lake Sales Data Warehouse Snapshot 104

Alation

APRIL 19, 2021

The cloud supports this new workforce, connecting remote workers to vital data, no matter their location. And what are the benefits? Data Cloud Migration Challenges and Solutions. Cloud migration is the process of moving enterprise data and infrastructure from on premise to off premise. What data is the most popular?

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

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

CIO Business Intelligence

JUNE 23, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 95

Data Lake Data Warehouse Machine Learning Cost-Benefit 95

Cloudera

JUNE 18, 2022

In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake. In a rush to own this term, many vendors have lost sight of the fact that the openness of a data architecture is what guarantees its durability and longevity.

Data Lake 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

AWS Big Data

MARCH 25, 2024

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. Data streaming enables you to ingest data from a variety of databases across various systems.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals .

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Snapshot Metadata Cost-Benefit Data Architecture 104

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 88

Metadata Data Architecture Machine Learning Cost-Benefit 88

AWS Big Data

SEPTEMBER 6, 2023

It’s appreciated for its user-friendly approach, ability to scale automatically, and cost-saving benefits over other Kafka solutions. Another benefit of using IAM is that you can use IAM for both authentication and authorization. Before we delve into those, it’s important to understand what SASL/SCRAM authentication is.

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Testing Metadata Cost-Benefit Management 99

Ontotext

FEBRUARY 26, 2024

If one can figure out how to effectively reuse rockets, just like airplanes, the cost of access to space will be reduced by as much as a factor of a hundred.” ” Elon Musk SpaceX succeeded in building reusable rockets, drastically reducing the cost of sending them into orbit or taking astronauts to the International Space Station.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

AWS Big Data

OCTOBER 16, 2023

To meet this need, AWS offers Amazon Kinesis Data Streams , a powerful and scalable real-time data streaming service. With Kinesis Data Streams, you can effortlessly collect, process, and analyze streaming data in real time at any scale. b64decode(record['kinesis']['data']).decode().replace('n','')

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Cost-Benefit Testing Optimization Strategy 106

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.

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Data Quality Data Integration Metadata Cost-Benefit 66

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. Investors then paid whatever was asked without any information to justify the cost. Data Lineage Provides Further Benefits for Enterprise Organizations.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

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

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. These regulations, ultimately, ensure key business values: data consistency, quality, and trustworthiness. Benefits of enterprise data management.

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Enterprise Management Data Architecture Strategy 98

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.

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Data Warehouse Cost-Benefit Data Governance Data-driven 69

Ontotext

MAY 30, 2019

The lack of structure and the presence of too many siloed (often meaning duplicate) data entries, which make data expand endlessly can be avoided if these data are properly interlinked and given explicit machine-interpretable metadata for easier and automatic search and retrieval. Linked Data and Information Retrieval.

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Cost-Benefit Technology Big Data Metadata 87

AWS Big Data

NOVEMBER 16, 2023

Data Vault 2.0 allows for the following: Agile data warehouse development Parallel data ingestion A scalable approach to handle multiple data sources even on the same entity A high level of automation Historization Full lineage support However, Data Vault 2.0

Enterprise 86

Enterprise Data Warehouse Data Lake Optimization 86

AWS Big Data

MARCH 26, 2024

The following diagram illustrates the different pipelines to ingest data from various source systems using AWS services. Data storage Structured, semi-structured, or unstructured batch data is stored in an object storage because these are cost-efficient and durable. Then, you transform this data into a concise format.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Ontotext

MAY 30, 2019

The lack of structure and the presence of too many siloed (often meaning duplicate) data entries, which make data expand endlessly can be avoided if these data are properly interlinked and given explicit machine-interpretable metadata for easier and automatic search and retrieval. Linked Data and Information Retrieval.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

CIO Business Intelligence

JANUARY 30, 2024

Even for more straightforward ESG information, such as kilowatt-hours of energy consumed, ESG reporting requirements call for not just the data, but the metadata, including “the dates over which the data was collected and the data quality,” says Fridrich. “The complexity is at a much higher level.”

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Reporting Data Quality Strategy Data-driven 113

Alation

DECEMBER 14, 2021

Customer stories shed light on the cloud benefits for analytics. They do this by leveraging this single platform, which integrates with thousands of partners and supports 475 instances to unify data across an enterprise. Redshift , AWS’ data warehouse that powers data exchange, provides 3x performance (3TB, 30 Tb, 100Tb dataset).

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Data Lake Data Warehouse Machine Learning Cost-Benefit 52

AWS Big Data

APRIL 28, 2023

When building a scalable data architecture on AWS, giving autonomy and ownership to the data domains are crucial for the success of the platform. Solution overview In the first post of this series, we explained how Novo Nordisk and AWS Professional Services built a modern data architecture based on data mesh tenets.

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Data Governance Management Data-driven Data Lake 65

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Modeling Your Data for Performance. Data architecture. The data landscape has changed significantly over the last two decades.

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Data Warehouse OLAP Statistics Cost-Benefit 78

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. A data fabric that can’t read or capture data would not work.

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Analytics Measurement Modeling Data-driven 64

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.

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Metadata Cost-Benefit Enterprise Interactive 122

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization?

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Data Architecture Data Lake Machine Learning Data Governance 62

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. However, there are potential risks and challenges in adopting Data Observability. Are problems with data tests?

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Data Quality Testing Snapshot Reporting 130

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. After moving its expensive, on-premise data lake to the cloud, Comcast created a three-tiered architecture.

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Analytics Data Lake Metadata Cost-Benefit 98

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.

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Data Lake Data Warehouse Data-driven B2B 91

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.

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Data-driven Data Lake Data Quality Business Objectives 59