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. These methods and their results need to be captured, but how? Other Technologies. Conclusion.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

AWS Big Data

JANUARY 12, 2024

Leadership and development teams can spend more time optimizing current solutions and even experimenting with new use cases, rather than maintaining the current infrastructure. With the ability to move fast on AWS, you also need to be responsible with the data you’re receiving and processing as you continue to scale.

Data Lake 89

Data Lake Cost-Benefit Visualization Structured Data 89

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3. Learn more in README.

Data Lake 80

Data Lake Big Data Consulting Data Warehouse 80

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This is partly because integrating and moving data is not the only problem.

IT 69

IT Cost-Benefit Data-driven Technology 69

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3.

Big Data 79

Big Data Software Consulting Unstructured Data 79

Ontotext

JANUARY 6, 2021

A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL. You can apply graph optimizations or operations such as traversals and transformations. It’s context that enriches meaning and enables understanding.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Ontotext

AUGUST 24, 2023

To deal with this issue, GraphDB implements a smart Graph Replace optimization that helps you calculate the internal data and only shows you the newly added and removed statements. The second approach is to use some Data Integration Platform. Try the data integration pattern that’s best for you!

Data Integration 52

Data Integration Modeling Business Objectives Optimization 52

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Wait for all the jobs to complete.

Sales 52

Sales Data Warehouse Visualization Testing 52

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.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift enables you to use SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and machine learning (ML) to deliver the best price-performance at scale.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

CIO Business Intelligence

MAY 10, 2022

A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. By applying machine learning to the data, you can better predict customer behavior. Types of CDPs. Segment CDP.

Advertising 122

Advertising Interactive Marketing Data Integration 122

Alation

MAY 16, 2023

What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The various steps along the pipeline involve transforming, optimizing, cleaning, filtering, integrating, and aggregating the data. The end result is data that is ready to be analyzed.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

IBM Big Data Hub

JUNE 26, 2023

Scenario 4: Realize intelligent manufacturing capacity estimation and planning for core manufacturing equipment with Decision Optimization Module of IBM Cloud Pak for Data to reduce costs and increase efficiency. For example, how do they determine the optimal economic batch size of different products while reducing inventory costs?

Manufacturing 66

Manufacturing Software Optimization Digital Transformation 66

Alation

MAY 16, 2023

What is a Data Pipeline? A data pipeline is a series of processing steps that move data from its source to its destination. The various steps along the pipeline involve transforming, optimizing, cleaning, filtering, integrating, and aggregating the data. The end result is data that is ready to be analyzed.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

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.

Unstructured Data 76

Unstructured Data Data Architecture Data Lake Snapshot 76

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Ontotext

MAY 30, 2019

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. TechRadar: Artificial Intelligence Technologies, Q1 2017.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

AWS Big Data

FEBRUARY 22, 2023

An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data. The AWS Glue job can transform the raw data in Amazon S3 to Parquet format, which is optimized for analytic queries. In his spare time, he enjoys singing in a choir, reading, and playing with his two children.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Alation

OCTOBER 28, 2021

It defines how data can be collected and used within an organization, and empowers data teams to: Maintain compliance, even as laws change. Uncover intelligence from data. Protect data at the source. Put data into action to optimize the patient experience and adapt to changing business models.

Data Governance 52

Data Governance Measurement Modeling Metrics 52

Ontotext

JULY 29, 2021

We rather see it as a new paradigm that is revolutionizing enterprise data integration and knowledge discovery. The two distinct threads interlacing in the current Semantic Web fabrics are the semantically annotated web pages with schema.org (structured data on top of the existing Web) and the Web of Data existing as Linked Open Data.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

MAY 30, 2019

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. TechRadar: Artificial Intelligence Technologies, Q1 2017.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

Jet Global

FEBRUARY 6, 2024

You’ll have access to all the features you know and love, plus the added benefits of the integrated environment. This change is about more than just technology; it’s about optimizing your experience and empowering you to make data-driven decisions with greater ease and efficiency.

Dashboards 52

Dashboards Visualization Data-driven Reporting 52

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. Embracing the future In the dynamic world of data, data modeling remains an indispensable tool.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. When it comes to data movement outside the boundaries of Data Products (i.e., Introduction.

Metadata 127

Metadata Cost-Benefit Enterprise Interactive 127

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. With machine learning, the challenge isn’t writing the code; the algorithms are implemented in a number of well-known and highly optimized libraries.

Machine Learning 261

Machine Learning Software Testing Metadata 261

Jet Global

MAY 9, 2024

Batch processing pipelines are designed to decrease workloads by handling large volumes of data efficiently and can be useful for tasks such as data transformation, data aggregation, data integration , and data loading into a destination system. This leads to better decision-making and improved outcomes.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

NOVEMBER 7, 2023

How BICC Wins Out Over BIP For your Oracle Cloud-based reporting team, using Oracle Business Intelligence Cloud Connector (BICC) is the method Oracle recommends for extracting medium to high volumes of data. Empower your team to add new data sources on the fly.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52