AWS Big Data

NOVEMBER 9, 2023

Data ingestion, whether real time or batch, forms the basis of any effective data analysis, enabling organizations to gather information from diverse sources and use it for insightful decision-making. It’s raw, unprocessed data straight from the source.

Data Warehouse 100

Data Warehouse Testing Data Quality Reporting 100

AWS Big Data

MARCH 25, 2024

Studio notebooks seamlessly combine these technologies to make advanced analytics on data streams accessible to developers of all skill sets. Both engines provide native ingestion support from Kinesis Data Streams and Amazon MSK via a separate streaming pipeline to a data lake or data warehouse for analysis.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

CIO Business Intelligence

MARCH 9, 2022

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. Traditional data warehouses, for example, support datasets from multiple sources but require a consistent data structure.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

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

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

Ontotext

MAY 30, 2019

It’s the dawn of a yet another Forrester report ( TechRadar : Artificial Intelligence Technologies, Q1 2017 ) highlighting the importance and the potential of semantic technology to represent and govern knowledge. Would Johnny be better off if the data to be transferred was Linked Data? Linked Data or Semantic Technology?

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). Linked Data or Semantic Technology?

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data.

Metadata 104

Metadata Management Data-driven Data Architecture 104

AWS Big Data

APRIL 19, 2023

Different departments within an organization can place data in a data lake or within their data warehouse depending on the type of data and usage patterns of that department. Nasdaq’s massive data growth meant they needed to evolve their data architecture to keep up.

Data Warehouse 55

Data Warehouse Data Lake Unstructured Data Optimization 55

CDW Research Hub

OCTOBER 12, 2021

Business leaders need to quickly access data—and to trust the accuracy of that data—to make better decisions. As organizations grow and evolve, many find a need for more sophisticated analytics across an ever-increasing amount of digital and consumer data. Unreliable Data as a Service (DaaS) implementations.

Data Warehouse 52

Data Warehouse Big Data Data Architecture Cost-Benefit 52

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

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

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 87

IT Data Governance Modeling Cost-Benefit 87