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 133

Unstructured Data Metadata Management Analytics 133

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Let’s look at some of the key changes in the data pipelines namely, data cataloging, data quality, and vector embedding security in more detail.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Then, you transform this data into a concise format.

Data Strategy 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

CIO Business Intelligence

MARCH 24, 2023

The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Such a framework provides your organization with a holistic approach to collecting, managing, securing, and storing data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

AWS Big Data

FEBRUARY 26, 2025

S3 Tables integration with the AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize dataincluding Amazon S3 Metadata tablesusing AWS analytics services such as Amazon Data Firehose , Amazon Athena , Amazon Redshift, Amazon EMR, and Amazon QuickSight. With AWS Glue 5.0,

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

AWS Big Data

APRIL 2, 2024

Data consumers need detailed descriptions of the business context of a data asset and documentation about its recommended use cases to quickly identify the relevant data for their intended use case. Go to your asset in your data project and choose Generate summary to obtain the detailed description of the asset and its columns.

Metadata 111

Metadata Metrics Data-driven Contextual Data 111

CIO Business Intelligence

SEPTEMBER 12, 2024

Unlike structured data, which fits neatly into databases and tables, etc. Going back to our early examples of unstructured data and depending on what business you’re in, ancient artifacts may or may not be relevant to your organization’s goals and AI strategy.

Unstructured Data 111

Unstructured Data Deep Learning Metadata Structured Data 111

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

SEPTEMBER 12, 2024

As it relates to the use case in the post, ZS is a global leader in integrated evidence and strategy planning (IESP), a set of services that help pharmaceutical companies to deliver a complete and differentiated evidence package for new medicines. We use various chunking strategies to enhance text comprehension.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

AWS Big Data

OCTOBER 1, 2024

Amazon Redshift enables you to efficiently query and retrieve structured and semi-structured data from open format files in Amazon S3 data lake without having to load the data into Amazon Redshift tables. Amazon Redshift extends SQL capabilities to your data lake, enabling you to run analytical queries.

Data Lake 116

Data Lake Statistics Broadcasting Optimization 116

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Data Architecture Unstructured Data Big Data 112

AWS Big Data

OCTOBER 2, 2023

JSON data in Amazon Redshift Amazon Redshift enables storage, processing, and analytics on JSON data through the SUPER data type, PartiQL language, materialized views, and data lake queries. The function JSON_PARSE allows you to extract the binary data in the stream and convert it into the SUPER data type.

Cost-Benefit 115

Cost-Benefit Metadata Structured Data Data-driven 115

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. have encouraged the creation of unstructured data. Artificial Intelligence

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

Ontotext

SEPTEMBER 15, 2020

‘Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

AWS Big Data

JULY 28, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. It is designed for analyzing large volumes of data and performing complex queries on structured and semi-structured data. Data mapping involves identifying and documenting the flow of personal data in an organization.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98

Cloudera

APRIL 1, 2024

This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

CIO Business Intelligence

MARCH 6, 2023

We use Snowflake very heavily as our primary data querying engine to cross all of our distributed boundaries because we pull in from structured and non-structured data stores and flat objects that have no structure,” Frazer says. “We think we found a good balance there. Now that’s down to a number of hours.”

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

AWS Big Data

MARCH 13, 2024

AWS Glue crawls both S3 bucket paths, populates the AWS Glue database tables based on the inferred schemas, and makes the data available to other analytics applications through the AWS Glue Data Catalog. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 122

Analytics IoT Metadata Internet of Things 122

Octopai

MAY 30, 2019

If the point of Business Intelligence (BI) data governance is to leverage your datasets to support information transparency and decision-making, then it’s fair to say that the data catalog is key for your BI strategy. At least, as far as data analysis is concerned. The Benefits of Structured Data Catalogs.

Metadata 40

Metadata Data Governance Data Lake IoT 40

AWS Big Data

JUNE 26, 2024

You can build projects and subscribe to both unstructured and structured data assets within the Amazon DataZone portal. For structured datasets, you can use Amazon DataZone blueprint-based environments like data lakes (Athena) and data warehouses (Amazon Redshift).

Data Lake 119

Data Lake Data Warehouse Unstructured Data Data Governance 119

CIO Business Intelligence

DECEMBER 4, 2023

A modern information lifecycle management approach Today’s ILM approach recognizes the enterprise value of all digitized and enriched assets , avoiding the habituated, narrow reliance ontraditional structured data. Here is a high-level overview of the ILM steps and structure. Structure/Operationalize.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Data management can never be a pure, complete process. Other Technologies. The challenge?

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Wayne Yaddow

MARCH 14, 2025

Executing dbt docs creates an interactive, automatically generated data model catalog that delineates linkages, transformations, and test coverageessential for collaboration among data engineers, analysts, and business teams. Data freshness propagation: No automatic tracking of data propagation delays across multiplemodels.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Peter James Thomas

AUGUST 29, 2018

This approach ensures that the CDO role (I have a number of CDOs functionally reporting to me) remains close to the business and the local entity it supports, it ensures that my management team is directly connected to the needs of the business locally, and that the local businesses have a direct connection to the global strategy.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

Ontotext

MAY 5, 2023

Here, the ability of knowledge graphs to integrate diverse data from multiple sources is of high relevance. As you can see from the slide below, knowledge graphs can provide a single access point for various types of data such as structured data, knowledge organization systems, transactional data and signals from unstructured content.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Understanding how certain types of events have historically affected their stock prices can guide future business decisions and communication strategies.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

AUGUST 16, 2023

We fetch the metadata of the users_xxxxxx table from Athena. The following are a few important considerations regarding how the Lambda function handles Iceberg table metadata changes: In this approach, target metadata takes precedence during DML operations. It’s imperative that the source and target metadata match.

Data Lake 97

Data Lake Metadata Testing Snapshot 97

Alation

OCTOBER 21, 2021

That dirty data then corrupts analyses and forces mistakes. A frequent and periodic data cleansing strategy is. Lack of metadata. A lack of organization is another sign of a data swamp, typically driven by bad or incomplete metadata.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. These optimizations are enabled by default and Amazon Redshift users will benefit with better query response times for their workloads.

Statistics 109

Statistics Data Warehouse Metadata Data Lake 109

Ontotext

NOVEMBER 11, 2024

Knowledge graphs, while not as well-known as other data management offerings, are a proven dynamic and scalable solution for addressing enterprise data management requirements across several verticals. Knowledge graphs are also essential for any semantic AI and explainable AI strategy.

Metadata 52

Metadata Knowledge Discovery Data Integration Management 52

BI-Survey

FEBRUARY 13, 2025

SAP has recently started to emphasize the business aspect in its messaging (see related BARC blog post in German ), a strategy it is continuing with BDC. Instead, SAP is focusing on its core strength leveraging its deep understanding of business processes to transform the resulting data and metadata into valuable D&A insights.

Cost-Benefit 52

Cost-Benefit Unstructured Data Strategy Data-driven 52