AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. Many organizations have a distributed tools and infrastructure across various business units. Inherited tags then can be overridden if needed.

Data Lake 85

Data Lake Data Warehouse Marketing Management 85

Ontotext

APRIL 10, 2024

Teams can’t access data to build their business use cases. Data duplication and data copying across business silos, and prevent organizations from linking this data across different systems to get an integrated view. For example, a product data tag is basic metadata. Product tags have barcodes, with numbers and symbols.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

AWS Big Data

SEPTEMBER 19, 2023

It was designed to manage complex queries and business intelligence (BI) use cases on a large scale. However, with a minimum data freshness of 10 minutes, this architecture inherently didn’t align with the near real-time fraud detection use case. However, our legacy data warehouse-based solution was not equipped for this challenge.

Analytics 77

Analytics Risk Big Data Machine Learning 77

Cloudera

OCTOBER 30, 2023

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

Analytics 75

Analytics Cost-Benefit ROI Business Objectives 75

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. This is no less crucial today, as telcos balance the needs to cut costs and improve efficiencies while delivering innovative products and services.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

AWS Big Data

JANUARY 22, 2024

To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. Acast found itself with diverse business units and a vast amount of data generated across the organization. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 83

Data-driven Advertising Metadata Data Architecture 83

Ontotext

APRIL 19, 2024

Much depends on the architecture and tooling choices your organization makes. You can switch out or add to the assisted tagging capabilities you can work with based on the benchmarking, so you’re able to optimize the result. If you make sound choices, you avail yourself of a range of capabilities.

Metadata 52

Metadata Statistics Interactive Enterprise 52

AWS Big Data

FEBRUARY 16, 2024

The following diagram illustrates the solution architecture. For instructions, refer to Centralize governance for your data lake using AWS Lake Formation while enabling a modern data architecture with Amazon Redshift Spectrum. For Name tag , enter an optional name. For Name tag , enter an optional name.

Data Lake 95

Data Lake Data Warehouse Testing Business Objectives 95

IBM Big Data Hub

DECEMBER 19, 2023

As practices like DevOps , cloud native , serverless and site reliability engineering (SRE) mature, the focus is shifting toward significant levels of automation, speed, agility and business alignment with IT (which helps enterprise IT transform into engineering organizations). Those objectives require a target operating model.

Data-driven 69

Data-driven Software Enterprise Testing 69

erwin

MAY 14, 2020

Collaboration is vital to enterprise architecture , and one of the ways to facilitate collaboration is through an enterprise architecture Kanban board. Ultimately, the goal of an enterprise architecture initiative is to provide the organization with a complete view of the enterprise, its assets and functions.

Enterprise 93

Enterprise Visualization Manufacturing ROI 93

AWS Big Data

SEPTEMBER 29, 2023

Technique 1: Use an AWS Glue crawler and the visual editor The following diagram illustrates the simple architecture that you can use to implement the solution. This architecture is a scalable, cost-effective solution for analyzing XML data on Amazon S3 using AWS Glue and Athena. Choose Add classifier. Choose Create.

Metadata 65

Metadata Visualization Data-driven Optimization 65

Ontotext

FEBRUARY 14, 2024

One such example is the tagging behind News On the Web. Architecture Entity linking can be a challenging task because entity names are often ambiguous. The diagram above illustrates how CEEL’s architecture uses entity types and entity descriptions of generated candidates for each recognized mention to perform entity linking.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

IBM Big Data Hub

DECEMBER 19, 2023

Stage 2: Institutionalize pattern-driven model CCC (or its equivalent) works with the architecture board to establish a suite of repeatable patterns (including atomic patterns representing individual cloud services, as well as composite application patterns comprising of multiple cloud services). This helps adoption and acceleration.

Testing 80

Testing Enterprise Modeling Software 80

AWS Big Data

MAY 25, 2023

Data transformation plays a pivotal role in providing the necessary data insights for businesses in any organization, small and large. Solution overview The following diagram illustrates the solution architecture. You can simply tag that job with the key/value of remediate and false.

Reporting 68

Reporting Metrics Optimization Data Lake 68

erwin

APRIL 2, 2021

An assessment of the data breaches that crop up like weeds each year supports the conclusion that companies, absent data governance, wind up building security architectures strictly from a technical perspective. When an organization knows what data it has, it can define that data’s business purpose.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

erwin

OCTOBER 31, 2019

Without data governance, organizations don’t have visibility of the full data landscape – linkages, processes, people and so on – to propel more context-sensitive security architectures that can better assure expectations around user and corporate data privacy. Data is a critical asset used to operate, manage and grow a business.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

AWS Big Data

MAY 4, 2023

Business and technical challenge Encored is expanding their business into multiple countries to provide power trading services for end customers. To meet the growing requirements of the business, the data science and platform team needed to speed up the process of delivering model outputs. northeast-2.amazonaws.com

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. The company has previously created a business unit tenant in CDP Public Cloud. Assumptions.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. It helps engineers, analysts and businesses access the most up-to-date release of the software asset that bring accuracy to the decision-making process. To help address its clients’ growing cloud needs, Huron is an AWS Partner.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Ontotext

AUGUST 4, 2023

Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. This logical data architecture is designed to help organizations deal with growing volumes of data, spanning data silos with seamless connectivity and a knowledge layer.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture. Choose Create bucket.

Data Lake 79

Data Lake Data Governance Cost-Benefit Machine Learning 79

AWS Big Data

OCTOBER 4, 2023

This blog post is co-written with Govind Mohan and Kausik Dhar from Cognizant. With its industry-based, consultative approach, Cognizant helps clients envision, build, and run more innovative and efficient businesses. The following diagram illustrates this architecture. How to use CDIT: ETL Conversion Tool for ETL migration.

Data Warehouse 59

Data Warehouse Cost-Benefit Metadata Data Lake 59

AWS Big Data

MARCH 21, 2024

With multiple touchpoints, intermittent errors in ETL and ELT pipelines can lead to long delays, leaving data warehouse applications with stale or missing data, further leading to missed business opportunities. The following diagram illustrates this architecture. The following diagram illustrates the high-level architecture.

Data Warehouse 86

Data Warehouse Metrics Optimization Statistics 86

Cloudera

DECEMBER 7, 2020

This blog is a first in a series that will examine the pillars and the successful customer case studies that have resulted. This data-centric approach is delivering the following business capabilities: Customer Identification —Develop processes to identify customers and visitors across channels (store, web, mobile, social, paid search, etc.).

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

AWS Big Data

OCTOBER 5, 2023

With Amazon AppFlow, you can run data flows at nearly any scale at the frequency you choose—on a schedule, in response to a business event, or on demand. Architecture Let’s review the architecture to transfer data from Google BigQuery to Amazon S3 using Amazon AppFlow. On the Amazon AppFlow console , choose Create flow.

Data Warehouse 84

Data Warehouse Machine Learning Data Integration Data-driven 84

Cloudera

NOVEMBER 10, 2021

For big data platforms like Cloudera’s stack that are used by multiple business units with many users, upgrading even minor versions must be a well-planned activity to reduce the impact to users and business. This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP.

Data Lake 75

Data Lake Management Metadata Modeling 75

IBM Big Data Hub

MAY 9, 2022

While individual point solutions have been able to address some of these concerns in the past, it is rapidly becoming clear that a more robust solution is needed – one that can address a business’s most pressing data and AI need while providing an easy path to solve additional challenges. That solution is the data fabric. Start a trial.

Management 57

Management Data Quality Metadata Data Integration 57

erwin

AUGUST 29, 2019

Big or Small, Enterprise Architecture Is a Key Part of a Successful Software Deployment Strategy. Software purchase decisions and deployments represent an opportunity to leverage the experience and knowledge of your enterprise architecture (EA) team so you can make smarter, better investments. Start your free trial of erwin EA now.

Software 91

Software Strategy IT Cost-Benefit 91

IBM Big Data Hub

OCTOBER 16, 2023

Text-based queries are usually handled by chatbots, virtual agents that most businesses provide on their e-commerce sites. Businesses use ML to monitor social media and other activity for customer responses and reviews. Then, it suggests the social media user tag that individual. “That’s an amazing timeline.”

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

AWS Big Data

FEBRUARY 9, 2023

With Amazon AppFlow, you can run data flows at enterprise scale at the frequency you choose—on a schedule, in response to a business event, or on demand. In this architecture, you use Amazon AppFlow to filter and transfer the data to your Snowflake data warehouse. For Connection name , name your connection Snowflake-blog.

Data Warehouse 74

Data Warehouse Data-driven Snapshot Testing 74

AWS Big Data

MARCH 9, 2023

Organizations create data marts , which are subsets of the data warehouse and usually oriented for gaining analytical insights specific to a business unit or team. Dimensions provide answers to exploratory business questions by allowing end-users to slice and dice data in a variety of ways using familiar SQL commands.

Slice and Dice 80

Slice and Dice Data Warehouse Metrics Metadata 80

erwin

DECEMBER 12, 2019

Faster Speed to Insights: Reverse the current 80/20 rule that keeps high-paid knowledge workers too busy finding, understanding and resolving errors or inconsistencies to actually analyze source data. Quicker Project Delivery: Accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc.,

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

AUGUST 15, 2022

This blog is based upon a recent webcast that can be viewed here. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Moreover, this blog will provide readers with a firm foundation for NoSQL and data lakes as they move to the cloud.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Cloudera

SEPTEMBER 28, 2020

Cloudera has found that customers have spent many years investing in their big data assets and want to continue to build on that investment by moving towards a more modern architecture that helps leverage the multiple form factors. Lineage and chain of custody, advanced data discovery and business glossary. Background: . on roadmap).

Testing 130

Testing Metadata Risk Data Science 130

BizAcuity

MARCH 29, 2019

However, to see these benefits, it’s important to understand how to structure the data lake architecture in the cloud, which is slightly different as compared to a traditional on-premises architecture. To get an in-depth knowledge of the practices mentioned above please refer to the blog on Oracle’s webpage.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

erwin

JANUARY 7, 2021

As businesses migrate from legacy systems to the cloud, data governance and data intelligence will become increasingly relevant to the C-suite and tools to automate and expedite the process will take center stage. Historically, moving legacy data to the cloud hasn’t been easy or fast.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

AWS Big Data

AUGUST 23, 2023

Built on OpenSearch Serverless, the vector engine inherits and benefits from its robust architecture. This helps you correlate both business insights and observability analytics in a single place. offering new features like S3 sink, Avro codec, obfuscation processor, event tagging, advanced expressions, and tail sampling.

Snapshot 93

Snapshot Dashboards Visualization Metrics 93