Cloudera

DECEMBER 21, 2023

Some are returning errors that are difficult to find—and if you’re missing KPIs you have to fix, optimize, and measure every bit of code, which can take a considerable amount of time and trial and error. Optimizing any query Sometimes we are looking at a query that just seems overly complex. What a nightmare!

Optimization 66

Optimization Sales Data Warehouse Measurement 66

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? We also gave the demo script and data set to all vendors in the Exhibit Hall to create demos for their booths and to submit for this blog. The results showing the impact of flooding, predictions for the future and reasons for optimism were fascinating.

Optimization 52

Optimization Machine Learning Insurance Risk 52

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 114

Data Lake Data Processing Metadata Snapshot 114

Ontotext

JUNE 27, 2019

These series of blog posts review some of its new features and functionalities. GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information.

Metadata 40

Metadata Management Enterprise Optimization 40

Ontotext

JANUARY 29, 2024

These will include developing a better understanding of AI, recognizing the role semantic metadata plays in data fabrics, and the rapid acceleration and adoption of knowledge graphs — which will be driven by large language models (LLMs) and the convergence of labeled property graphs (LPGs) and resource description frameworks (RDFs).

Strategy 52

Strategy Management Metadata Data-driven 52

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. Moving to the “optimal” stage of maturity is critical to eliminating unauthorized access by bad actors, both foreign and domestic.

Metadata 78

Metadata Data Lake Optimization Modeling 78

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 97

Cost-Benefit Optimization Data-driven Marketing 97

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

Ontotext

JUNE 27, 2019

For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. Optimizing for speed. Let’s optimize this query, so that we still fetch particular mentions from GraphDB, but specify only the data that we want to work with.

Metadata 40

Metadata Management Optimization Enterprise 40

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

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

AWS Big Data

JUNE 15, 2023

AWS Glue crawlers extract the data schema and partitions from Amazon S3 to automatically populate the Data Catalog, keeping the metadata current. Today, AWS Glue crawler support has been expanded to automatically add partition indexes for newly discovered tables to optimize query processing on the partitioned dataset.

Data Lake 84

Data Lake Metadata Cost-Benefit Management 84

IBM Big Data Hub

NOVEMBER 21, 2023

Kafka does not examine the metadata of your messages. Optimize your Kafka environment by using a schema registry. Ensure your environment is optimized by utilizing this feature on the fully managed Kafka offering on IBM Cloud to build intelligent and responsive applications that react to events in real time.

Data Quality 111

Data Quality Metadata Data-driven Optimization 111

Ontotext

APRIL 19, 2024

You can switch out or add to the assisted tagging capabilities you can work with based on the benchmarking, so you’re able to optimize the result. We mainly talked about the company’s Metadata Studio and the types of features it has that give users the options I’ve listed above. Ivo’s been at Ontotext for over 14 years.

Metadata 52

Metadata Statistics Interactive Enterprise 52

Cloudera

NOVEMBER 29, 2023

It simplifies recording model parameters, metadata, and metrics ensuring transparent bookkeeping. The adaptability of this method caters to various needs and scenarios, providing optimal environments for both the development and deployment phases. Its development is geared towards easing the transition between different cloud systems.

Modeling 82

Modeling Machine Learning Metadata Metrics 82

IBM Big Data Hub

APRIL 28, 2022

By using metadata-enriched AI and a semantic knowledge graph for automated data enrichment, a data fabric continuously identifies and connects data from disparate data stores to discover relevant relationships between the available data points. Learn more about a data fabric architecture and how it can benefit your organization.

Metadata 91

Metadata Data Warehouse Forecasting Predictive Modeling 91

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. Providing a unified metadata model and a semantic layer is enhanced through discovery, auto-classification, tagging, inferencing, and so on. The best way to drive value is through use cases.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Cloudera

JULY 14, 2023

In this blog, I will describe a few strategies one could undertake for various use cases. They simply read the underlying data (not even full read, they just read the parquet headers) and create corresponding Iceberg metadata files. You could optimize your table now or at a later stage using the “rewrite_data_files” procedure.

Snapshot 69

Snapshot Metadata Data Warehouse Testing 69

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. or higher on the public cloud.

Data Warehouse 71

Data Warehouse Data Processing Optimization Modeling 71

IBM Big Data Hub

OCTOBER 4, 2022

Platforms and practices not optimized for AI. This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. This includes repeatability and the ability to capture of model development time, metadata, post-deployment model monitoring, and to customize workflows.

Metadata 104

Metadata Risk Risk Management Experimentation 104

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 Digital Transformation Metadata 131

AWS Big Data

NOVEMBER 22, 2023

These statistics are now integrated with the cost-based optimizers (CBO) of Amazon Athena and Amazon Redshift Spectrum , resulting in improved query performance and potential cost savings. The data lake performance optimization is especially important for queries with multiple joins and that is where cost-based optimizers helps the most.

Statistics 98

Statistics Data Lake Optimization Data-driven 98

IBM Big Data Hub

MAY 9, 2023

The resulting automation drives scalability and accountability by capturing model development time and metadata, offering post-deployment model monitoring, and allowing for customized workflows. Read the AI governance e-book The post Bring light to the black box appeared first on IBM Blog.

Metadata 82

Metadata Risk Experimentation Dashboards 82

IBM Big Data Hub

AUGUST 24, 2022

Metadata exchange with third party metadata management and governance tools. Furthermore, we will continue to grow and optimize our data integration capabilities for the needs of the market. The post IBM named a leader in the 2022 Gartner® Magic Quadrant™ for Data Integration Tools appeared first on Journey to AI Blog.

Data Integration 90

Data Integration Metadata Data-driven Data Architecture 90

Alation

SEPTEMBER 21, 2021

Compare this story to what we have today: smartphones with traffic navigation apps that provide us with turn-by-turn directions that continuously try to find the optimal path based on traffic conditions on the route being traveled. It is people, process, technology, and data — more importantly, metadata. Subscribe to Alation's Blog.

Metadata 52

Metadata Testing Recreation/Entertainment Data-driven 52

CIO Business Intelligence

DECEMBER 13, 2023

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. User-generated content , such as blogs, forums, and customer feedback, to understand customer preferences, improve product recommendations, and tailor user experiences.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

Cloudera

AUGUST 3, 2021

Advanced predictive analytics and modeling are now optimizing safety stocks and supply chains to include the element in risk so that optimized inventory levels and redundant capital deployment in high risk manufacturing processes are optimized. Digital Transformation is not without Risk. Open source solutions reduce risk.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

Cloudera

DECEMBER 10, 2020

Cloud-native warehouses that fail economically usually don’t do a good job optimizing cloud resources as part of their core functionality. Therefore, optimizing the performance of the cloud-native data warehouse saves time and money. CDW optimizes storage. These techniques directly reduce costs. . Security is centralized.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Cloudera

MARCH 22, 2023

SDX continually captures and manages both the active and passive metadata for data assets and the processes that work on them. Within CDP, Workload Manager provides workload observability to ensure optimal performance, reduced downtime, and improved resource utilization. The post Observe Everything appeared first on Cloudera Blog.

Metrics 84

Metrics Data Governance Cost-Benefit Dashboards 84

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

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 106

Data Warehouse Metadata Machine Learning Measurement 106

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more.

Metadata 52

Metadata Dashboards Visualization Consulting 52

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Capture and document model metadata for report generation.

Risk 81

Risk Modeling Management Metadata 81

Ontotext

FEBRUARY 1, 2024

When our auto-categorization engine, Graphite Knowledge Studio, tags content with metadata derived from taxonomies, we also capture and store this content metadata inside the knowledge graph, thereby linking concepts to the content they describe. Synaptica engineers responded to this need with optimized search indexes and queries.

Enterprise 59

Enterprise Management Metadata Modeling 59

IBM Big Data Hub

APRIL 10, 2023

The approach should be designed to provide enough metadata that key HR decision makers can identify which processes and decisions are informed by AI while maintaining anonymity and privacy in the data itself. A similar correlation holds true in leveraging data to drive leadership performance in the ESG areas.

Strategy 98

Strategy Data Architecture Cost-Benefit Reporting 98

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. Meanwhile, the company’s IT teams could optimize their time by focusing on other important workloads. Technical metadata to describe schemas, indexes and other database objects. Comprehensive search and access to relevant data.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Consulting Enterprise 78