Ontotext

JUNE 10, 2021

Relational databases benefit from decades of tweaks and optimizations to deliver performance. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. This metadata should then be represented, along with its intricate relationships, in a connected knowledge graph model that can be understood by the business teams”.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

AWS Big Data

DECEMBER 4, 2024

The adoption of open table formats is a crucial consideration for organizations looking to optimize their data management practices and extract maximum value from their data. An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction. In earlier posts, we discussed AWS Glue 5.0 for Apache Spark.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

AWS Big Data

OCTOBER 3, 2023

Iceberg tables store metadata in manifest files. As the number of data files increase, the amount of metadata stored in these manifest files also increases, leading to longer query planning time. The query runtime also increases because it’s proportional to the number of data or metadata file read operations.

Optimization 126

Optimization Snapshot Data Lake Metadata 126

AWS Big Data

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

Metadata 95

Metadata Data Governance Metrics Marketing 95

AWS Big Data

NOVEMBER 19, 2024

Run the following commands: export PROJ_NAME=lfappblog aws s3 cp s3://aws-blogs-artifacts-public/BDB-3934/schema.graphql ~/${PROJ_NAME}/amplify/backend/api/${PROJ_NAME}/schema.graphql In the s chema.graphql file, you can see that the lf-app-lambda-engine function is set as the data source for the GraphQL queries.

Data Processing 97

Data Processing Metadata Publishing Testing 97

AWS Big Data

SEPTEMBER 11, 2024

This blog post is co-written with Hardeep Randhawa and Abhay Kumar from HPE. Each file arrives as a pair with a tail metadata file in CSV format containing the size and name of the file. This metadata file is later used to read source file names during processing into the staging layer.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. That’s because it’s the best way to visualize metadata , and metadata is now the heart of enterprise data management and data governance/ intelligence efforts.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

OCTOBER 21, 2024

In this context, Amazon DataZone is the optimal choice for managing the enterprise data platform. Business analysts enhance the data with business metadata/glossaries and publish the same as data assets or data products. As stated earlier, the first step involves data ingestion. Amazon Athena is used to query, and explore the data.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

AWS Big Data

MARCH 22, 2024

When you use Trino on Amazon EMR or Athena, you get the latest open source community innovations along with proprietary, AWS developed optimizations. and Athena engine version 2, AWS has been developing query plan and engine behavior optimizations that improve query performance on Trino. Starting from Amazon EMR 6.8.0

Metadata 119

Metadata Statistics Broadcasting Optimization 119

erwin

OCTOBER 8, 2020

With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis. The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets. Subscribe to the erwin Expert Blog.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. The most optimal and streamlined way to achieve this is by using a data catalog, which can provide a first stop for users ahead of working in BI platforms.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

JUNE 10, 2024

Cloudinary is a cloud-based media management platform that provides a comprehensive set of tools and services for managing, optimizing, and delivering images, videos, and other media assets on websites and mobile applications. This concept makes Iceberg extremely versatile.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

AWS Big Data

DECEMBER 4, 2024

This blog post will explore how zero-ETL capabilities combined with its new application connectors are transforming the way businesses integrate and analyze their data from popular platforms such as ServiceNow, Salesforce, Zendesk, SAP and others. The data is also registered in the Glue Data Catalog , a metadata repository.

Data Integration 114

Data Integration Data Lake Statistics Data-driven 114

AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

Data Lake 137

Data Lake Data Processing Metadata Snapshot 137

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. However, as data volumes continue to grow, manual approaches to metadata management are sub-optimal and can result in missed opportunities. This puts into perspective the role of active metadata management. Improve data discovery.

Metadata 56

Metadata Data Quality Data-driven Data Governance 56

Ontotext

FEBRUARY 16, 2023

Ontotext’s approach is to optimize models and algorithms through human contribution and benchmarking in order to create better and more accurate AI. You can read more about it in this blog post. What Are The Benefits Of Using Ontotext Metadata Studio? Ontotext Metadata Studio addresses all of these problems head on.

Metadata 59

Metadata Measurement Metrics Modeling 59

AWS Big Data

JUNE 7, 2023

This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. An AWS Glue job (metadata exporter) runs daily on the source account.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

Cloudera

JULY 10, 2024

In the public cloud, these cost management issues are compounded by consumption rates, where compute is often overused due to a lack of visibility into optimization opportunities. The data temperature feature lets us see whether hot or cold data sets are deployed optimally, including the underlying file sizes and partitioning styles.

Cost-Benefit 99

Cost-Benefit Metadata Optimization Measurement 99

Ontotext

JANUARY 10, 2025

This blog post summarizes our findings, focusing on NER as a first-step key task for knowledge extraction. We also experimented with prompt optimization tools, however these experiments did not yield promising results. In many cases, prompt optimizers were removing crucial entity-specific information and oversimplifying.

Informatics 59

Informatics Modeling Metadata Experimentation 59

erwin

SEPTEMBER 10, 2020

In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time. This information is critical to regulatory compliance, change management and data governance not to mention delivering an optimal customer experience.

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

IBM Big Data Hub

DECEMBER 18, 2023

Achieving consistently high performance requires an efficient routing system, optimizing traffic between the services your application depends on. In summary, IBM NS1 Connect offers a range of traffic steering options to meet diverse business needs to help ensure optimal application performance in the “now” era.

Optimization 69

Optimization Metadata Metrics Management 69

Cloudera

FEBRUARY 22, 2022

Companies such as Adobe , Expedia , LinkedIn , Tencent , and Netflix have published blogs about their Apache Iceberg adoption for processing their large scale analytics datasets. . Users do not need to know how the table is partitioned to optimize the SQL query performance. Multi-function analytics .

Snapshot 110

Snapshot Metadata Cost-Benefit Data Architecture 110

Cloudera

APRIL 18, 2024

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. Preparing For an AI-powered Future There’s plenty of optimism and interest surrounding GenAI and AI more broadly.

Analytics 110

Analytics Metadata Data Strategy Optimization 110

Alation

MARCH 2, 2023

With lots of data comes yet more calls for automation, optimization, and productivity initiatives to put that data to good use. Analysis, however, requires enterprises to find and collect metadata. Download Gartner’s “Market Guide for Active Metadata Management” to learn more, or read on for a summary of the firm’s outlook.

Metadata 52

Metadata Marketing IT Data Quality 52

datapine

JANUARY 31, 2022

This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes. It is important to optimize processes, increase operational efficiency, drive new revenue, and improve the decision-making of the company.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smart Data Collective

OCTOBER 13, 2021

This is something that you can learn more about in just about any technology blog. How is Data Virtualization performance optimized? The study and analysis of data allows to improve the automation of processes, optimizing sales strategies and improving business efficiency. for scalable performance in demanding environments.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

Cloudera

JANUARY 15, 2021

Pushing down column predicate filters to Kudu allows for optimized execution by skipping reading column values for filtered out rows and reducing network IO between a client, like the distributed query engine Apache Impala, and Kudu. One of the ways Apache Kudu achieves this is by supporting column predicates with scanners. Join Queries.

Optimization 72

Optimization Broadcasting Testing Metadata 72

erwin

JANUARY 14, 2021

As the economy slowed, they focused on cost optimization. Even if you don’t have a formal data intelligence program in place, there is a good possibility your organization has intelligence about its data, because it is difficult for data to exist without some form of associated metadata.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

Smart Data Collective

MAY 11, 2023

Bhaval Patel of Space-O Technologies wrote a blog post about the growing importance of AI for mobile apps. In this blog post, we will explore how AI-driven app development strategies can help your e-commerce business stay ahead in the mobile-first world. AI has been invaluable for e-commerce brands.

Cost-Benefit 116

Cost-Benefit Data-driven Optimization Machine Learning 116

Cloudera

FEBRUARY 14, 2024

This blog discusses a few problems that you might encounter with Iceberg tables and offers strategies on how to optimize them in each of those scenarios. A bloated metadata.json file could increase both read/write times because a large metadata file needs to be read/written every time. Iceberg doesn’t delete the old data files.

Optimization 59

Optimization Strategy Snapshot Metadata 59

AWS Big Data

NOVEMBER 22, 2023

Hudi provides tables , transactions , efficient upserts and deletes , advanced indexes , streaming ingestion services , data clustering and compaction optimizations, and concurrency control , all while keeping your data in open source file formats. Read optimized queries – For MoR tables, queries see the latest data compacted.

Data Lake 116

Data Lake Snapshot Metadata Optimization 116

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

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

MAY 28, 2024

It’s the preferred choice to run big data workloads because it helps improve throughput and optimize Amazon EC2 spend. and higher support using the Data Catalog as a metadata store for streaming and batch SQL workflows. Amazon EMR on EKS natively integrates tools and functionalities to enable these—and more.

Data Processing 119

Data Processing Cost-Benefit Metadata Optimization 119

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. Update your-iceberg-storage-blog in the following configuration with the bucket that you created to test this example.

Data Lake 98

Data Lake Snapshot Metadata Optimization 98

Cloudera

FEBRUARY 8, 2024

Overview This blog post describes support for materialized views for the Iceberg table format. Queries containing joins, filters, projections, group-by, or aggregations without group-by can be transparently rewritten by the Hive optimizer to use one or more eligible materialized views.

Snapshot 91

Snapshot Metadata Cost-Benefit Data Warehouse 91

DataKitchen

AUGUST 16, 2024

Data Pipeline Observability: Optimizes pipelines by monitoring data quality, detecting issues, tracing data lineage, and identifying anomalies using live and historical metadata. At DataKitchen, we think of this is a ‘meta-orchestration’ of the code and tools acting upon the data.

Marketing 126

Marketing Data Quality Testing Metadata 126

Cloudera

DECEMBER 11, 2020

In a previous blog post on CDW performance, we compared Azure HDInsight to CDW. In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 More on this later in the blog.

Data Warehouse 110

Data Warehouse Metadata Machine Learning Measurement 110