CDW Research Hub

JULY 22, 2019

These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake. With Snowflake, you can store, transform and analyze structured and semi-structured data together.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

CDW Research Hub

OCTOBER 12, 2021

As organizations grow and evolve, many find a need for more sophisticated analytics across an ever-increasing amount of digital and consumer data. But most legacy data architectures do not have a unified data model, and they are hard-wired toward specific BI tools that do not support self-service analytics.

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

Ontotext

JANUARY 10, 2024

The larger an organisation, the more complex it will naturally be, needing more people and technologies to serve a growing customer base – PwC, Is your organisation too complex to secure? We call this the Bad Data Tax. In order to integrate structured data, enterprises need to implement the data fabric pattern.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

APRIL 19, 2023

With the right analytics approach, this is possible. In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. Take the case of mobile gaming company Playrix.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Third-party APIs – These provide analytics and survey data related to ecommerce websites.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

AWS Big Data

JANUARY 22, 2024

The solution Acast implemented is a data mesh, architected on AWS. The solution mirrors the organizational structure rather than an explicit architectural decision. As per the Inverse Conway Maneuver , Acast’s technology architecture displays isomorphism with the business architecture.

Data-driven 82

Data-driven Advertising Metadata Data Architecture 82

CIO Business Intelligence

APRIL 4, 2023

AI Potential: Powering Our World and Your Business That’s because AI promises to be one of the most transformational technologies of our time. Despite these AI-powered examples, businesses have only just begun to embrace AI, with an estimated 12% fully using AI technology. Constructing the right data architecture cannot be bypassed.

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

AWS Big Data

MARCH 25, 2024

To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink. OpenSearch Service provides support for native ingestion from Kinesis data streams or MSK topics.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data.

Unstructured Data 115

Unstructured Data Metadata Management Analytics 115

AWS Big Data

MARCH 28, 2023

Conclusion In this post, we demonstrated how to identify the changed data for a semi-structured data source and preserve the historical changes (SCD Type 2) on an S3 Delta Lake, when source systems are unable to provide the change data capture capability, with AWS Glue.

Data Lake 68

Data Lake Testing Snapshot Sales 68

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 111

Data Lake Unstructured Data Data Warehouse Data Quality 111

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making. Unified data fabric.

Unstructured Data 73

Unstructured Data Data Architecture Data Lake Snapshot 73

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. All phases of the data-information lifecycle.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

erwin

OCTOBER 24, 2019

Organizations are dealing with numerous data types and data sources that were never designed to work together and data infrastructures that have been cobbled together over time with disparate technologies, poor documentation and with little thought for downstream integration.

Metadata 104

Metadata Management Data-driven Data Architecture 104

IBM Big Data Hub

AUGUST 15, 2023

Organizations are no longer asking whether to add AI capabilities, but how they plan to use this quickly emerging technology. While 42% of companies say they are exploring AI technology, the failure rate is high; on average, 54% of AI projects make it from pilot to production. Artificial intelligence (AI) adoption is here.

IT 79

IT Data Governance Modeling Cost-Benefit 79

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. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Metadata 123

Metadata Cost-Benefit Enterprise Interactive 123