Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Data Processing 92

Data Processing IoT Cost-Benefit Data Warehouse 92

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 122

Data Lake Sales Data Warehouse Snapshot 122

AWS Big Data

APRIL 17, 2024

The workflow includes the following steps: The AaaS provider pulls data from customer data sources like operational databases, files, and APIs, and ingests them into the Redshift data warehouse hosted in their account. Data processing jobs enrich the data in Amazon Redshift.

Data Warehouse 119

Data Warehouse Analytics Cost-Benefit Data Processing 119

TDAN

MAY 31, 2022

In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1] 1] I had never heard about synthetic data until I listened to the AI Today podcast, hosted by Kathleen Welch […].

Data Processing 105

Data Processing Analytics Data Architecture Data Governance 105

AWS Big Data

JANUARY 22, 2024

Cost and resource efficiency – This is an area where Acast observed a reduction in data duplication, and therefore cost reduction (in some accounts, removing the copy of data 100%), by reading data across accounts while enabling scaling. Srikant Das is an Acceleration Lab Solutions Architect at Amazon Web Services.

Data-driven 115

Data-driven Advertising Metadata Data Architecture 115

AWS Big Data

JUNE 12, 2024

One Data Platform The ODP architecture is based on the AWS Well Architected Framework Analytics Lens and follows the pattern of having raw, standardized, conformed, and enriched layers as described in Modern data architecture. See the following admin user code: admin_secret_kms_key_options = KmsKeyOptions(.

Data Architecture 115

Data Architecture Cost-Benefit Experimentation Data-driven 115

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data. Why did Orca choose Apache Iceberg?

Data Lake 98

Data Lake Analytics Snapshot Data Quality 98

Smart Data Collective

SEPTEMBER 15, 2021

It is essential to process sensitive data only after acquiring a thorough knowledge of a stream processing architecture. The data architecture assimilates and processes sizable volumes of streaming data from different data sources. This very architecture ingests data right away while it is getting generated.

IoT 121

IoT Business Objectives Manufacturing Software 121

AWS Big Data

NOVEMBER 27, 2024

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments. Choose Create.

Data Warehouse 108

Data Warehouse Analytics Testing Modeling 108

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 131

Data Lake Analytics Dashboards Metrics 131

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 113

Data Warehouse KPI Optimization Cost-Benefit 113

AWS Big Data

JULY 16, 2024

With an extensive career in the financial and tech industries, she specializes in data management and has been involved in initiatives ranging from reporting to data architecture. She currently serves as the Global Head of Cyber Data Management at Zurich Group.

Insurance 127

Insurance Management Cost-Benefit Optimization 127

TDAN

OCTOBER 6, 2020

Prominent entities across a myriad of sectors are preparing for the digital revolution by integrating a host of technologies such as IoT, AI, Big Data, digital twins, and robotics, in their processes, products, and workflows. The industrial landscape is undergoing a digital transformation at a breakneck speed.

IoT 52

IoT Digital Transformation Manufacturing Data Processing 52

AWS Big Data

OCTOBER 18, 2023

Modern analytics is much wider than SQL-based data warehousing. With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

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 122

Data Lake Metadata Snapshot Recreation/Entertainment 122

AWS Big Data

SEPTEMBER 5, 2024

The currently available choices include: The Amazon Redshift COPY command can load data from Amazon Simple Storage Service (Amazon S3), Amazon EMR , Amazon DynamoDB , or remote hosts over SSH. This native feature of Amazon Redshift uses massive parallel processing (MPP) to load objects directly from data sources into Redshift tables.

IoT 111

IoT Data Warehouse Cost-Benefit Reporting 111

AWS Big Data

MARCH 27, 2023

An essential capability needed in such a data lake architecture is the ability to continuously understand changes in the data lakes in various other domains and make those available to data consumers. The data mesh producer account hosts the encrypted S3 bucket, which is shared with the central governance account.

Data Lake 98

Data Lake Data-driven Management Data Architecture 98

IBM Big Data Hub

MAY 15, 2024

These approaches minimize data movement, latencies, and egress fees by leveraging integration patterns alongside a remote runtime engine, enhancing pipeline performance and optimization, while simultaneously offering users flexibility in designing their pipelines for their use case.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

AWS Big Data

MARCH 26, 2024

Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels. The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud.

Data Strategy 94

Data Strategy Strategy Data Warehouse Prescriptive Analytics 94

AWS Big Data

MAY 30, 2024

Overall, the current architecture didn’t support workload prioritization, therefore a physical model of resources was reserved for this reason. The system had an integration with legacy backend services that were all hosted on premises. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 113

Data Warehouse Data Lake Cost-Benefit Structured Data 113

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 98

Data Lake Dashboards Metrics Metadata 98

IBM Big Data Hub

FEBRUARY 2, 2023

This approach has several benefits, such as streamlined migration of data from on-premises to the cloud, reduced query tuning requirements and continuity in SRE tooling, automations, and personnel. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

AWS Big Data

JUNE 7, 2023

Metadata exporter This section provides details on the AWS Glue job that exports the AWS Glue Data Catalog into an S3 location. The source code for the application is hosted the AWS Glue GitHub. He advises clients on architecting and adopting Data Architectures that best serve their Data Analytics and Machine Learning needs.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

IBM Big Data Hub

APRIL 29, 2024

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management.

Management 63

Management Optimization Data Processing Metrics 63

IBM Big Data Hub

DECEMBER 4, 2023

During configuration, an organization constructs its data architecture and defines user roles. It’s also useful, following initial deployment, to host a celebration to congratulate the team on all their hard work, and to get direct feedback from early system users.

Testing 71

Testing Consulting Digital Transformation Cost-Benefit 71

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.

Data Governance 72

Data Governance Management Data-driven Data Lake 72

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

CIO Business Intelligence

DECEMBER 11, 2024

Manish Limaye Pillar #1: Data platform The data platform pillar comprises tools, frameworks and processing and hosting technologies that enable an organization to process large volumes of data, both in batch and streaming modes. He is currently a technology advisor to multiple startups and mid-size companies.

Management 111

Management Data Governance Data Science Reporting 111

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 111

Data-driven Data Lake Data Quality Data Governance 111

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. Cloudera Data Catalog (part of SDX) replaces data governance tools to facilitate centralized data governance (data cataloging, data searching / lineage, tracking of data issues etc. ).

Cost-Benefit 84

Cost-Benefit Data Warehouse Data Processing Data Governance 84

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 B2B Data-driven 115

AWS Big Data

DECEMBER 19, 2024

HEMA has a bespoke enterprise architecture, built around the concept of services. Each service is hosted in a dedicated AWS account and is built and maintained by a product owner and a development team, as illustrated in the following figure. Tommaso is the Head of Data & Cloud Platforms at HEMA.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

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 88

Data Lake Machine Learning Data Architecture Data-driven 88

Jet Global

MAY 1, 2023

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Do what you expect your customers to do.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52