CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. How is data, process, and model drift managed for reliability?

Machine Learning 139

Machine Learning Cost-Benefit Data-driven Strategy 139

AWS Big Data

FEBRUARY 27, 2024

The following are the key components of the Bluestone Data Platform: Data mesh architecture – Bluestone adopted a data mesh architecture, a paradigm that distributes data ownership across different business units. This enables data-driven decision-making across the organization.

Data-driven 91

Data-driven Data Lake Data Quality Data Governance 91

CIO Business Intelligence

APRIL 25, 2022

Similarly, many organizations have built data architectures to remain competitive, but have instead ended up with a complex web of disparate systems which may be slowing them down. Aligning data. A real-time data architecture should be designed with a set of aligned data streams that flow easily throughout the data ecosystem.

Data Architecture 103

Data Architecture Digital Transformation Data-driven Strategy 103

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 107

Data Architecture Data Integration IoT Strategy 107

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Data can be organized into three different zones, as shown in the following figure.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

CIO Business Intelligence

SEPTEMBER 14, 2023

Data engineers also need communication skills to work across departments and to understand what business leaders want to gain from the company’s large datasets. Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders.

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 78

Data Lake Data Governance Data Architecture Machine Learning 78

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved.

Analytics 128

Analytics Data Science Statistics Unstructured Data 128

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. Technology cost reduction / avoidance. In such a way, clients can avoid on-premises capacity expansion by leveraging the elasticity of the public cloud to meet peak capacity needs.

Cost-Benefit 78

Cost-Benefit Data Warehouse Data Processing Data Governance 78

Peter James Thomas

MAY 3, 2019

The objective here is to use a variety of techniques to tease out findings from available data (both internal and external) that go beyond the explicit purpose for which it was captured. Data Architecture / Infrastructure. When I first started focussing on the data arena, Data Warehouses were state of the art.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Ravi helps customers with enterprise data strategy initiatives across insurance, airlines, pharmaceutical, and financial services industries.

Data Lake 87

Data Lake Data Processing Metadata Snapshot 87

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. This includes tools that do not require advanced technical skill or deep understanding of data analytics to use.

Data Architecture 63

Data Architecture Data Lake Machine Learning Data Governance 63