Alation

FEBRUARY 13, 2020

Human Curation + Machine Learning. The way Herschel, Fry, and Zimmerman talked about AI in many respects reflects our vision for machine learning data catalogs. What’s more, Zaidi and Gartner believe that this vision of a machine-learning-enabled data catalog creates real value for enterprises.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

Cloudera

NOVEMBER 29, 2023

In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments.

Modeling 85

Modeling Machine Learning Metadata Metrics 85

Rocket-Powered Data Science

FEBRUARY 15, 2023

These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. FUD occurs when there is too much hype and “management speak” in the discussions.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

Rocket-Powered Data Science

JULY 19, 2023

b) Precursor Analytics – the use of AI and machine learning to identify, evaluate, and generate critical early-warning alerts in enterprise systems and business processes, using high-variety data sources to minimize false alarms (i.e.,

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Ozone Namespace Overview. Data ingestion through ‘s3’. Create External Hive table.

Data Science 110

Data Science Forecasting Metadata Machine Learning 110

Alation

AUGUST 30, 2022

Centralization of metadata. A decade ago, metadata was everywhere. Consequently, useful metadata was unfindable and unusable. We pioneered the world’s first machine learning data catalog, centralizing technical, operational, business and behavioral metadata into one place. Then Alation came along.

Metadata 52

Metadata Data Quality Data Governance Machine Learning 52

Cloudera

MARCH 17, 2023

Hopefully this blog will give ChatGPT an opportunity to learn and correct itself while counting towards my 2023 contribution to social good. The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse.

Unstructured Data 61

Unstructured Data Data Lake Data Warehouse Machine Learning 61

Ontotext

APRIL 19, 2024

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. NLP and the role of metadata-oriented feedback loops Moreover, text analysis or mining can add to that meaning and contribute even more to the knowledge in the graph.

Metadata 52

Metadata Statistics Interactive Enterprise 52

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 99

Cost-Benefit Optimization Data-driven Marketing 99

Alation

FEBRUARY 13, 2020

A Data Catalog is a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses. Figure 1 – Data Catalog Metadata Subjects. Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

DataKitchen

AUGUST 3, 2021

Third-generation – more or less like the previous generation but with streaming data, cloud, machine learning and other (fill-in-the-blank) fancy tools. Discoverable – users have access to a catalog or metadata management tool which renders the domain discoverable and accessible. See the pattern? The post What is a Data Mesh?

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

Cloudera

JUNE 7, 2023

It operates independently from compute and storage layers, offering integrated security and governance based on metadata. Long-term retention of logs and robust machine learning capabilities gives agencies a powerful tool for threat hunting, investigation, and remediation.

Metadata 80

Metadata Data Lake Optimization Modeling 80

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.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Smarten

JANUARY 30, 2024

The right self-serve data prep solution can provide easy-to-use yet sophisticated data prep tools that are suitable for your business users, and enable data preparation techniques like: Connect and Mash Up Auto Suggesting Relationships JOINS and Types Sampling and Outliers Exploration, Cleaning, Shaping Reducing and Combining Data Insights (Data Quality (..)

Analytics 67

Analytics Data Quality Visualization Metadata 67

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. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Capture and document model metadata for report generation.

Risk 76

Risk Modeling Management Metadata 76

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 97

Unstructured Data IoT Metadata Manufacturing 97

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

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. What do we mean by content aware knowledge graphs?

Enterprise 59

Enterprise Management Metadata Modeling 59

IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. Someone with the knowledge of SQL and access to a Db2 instance, where the in-database ML feature is enabled, can easily learn to build and use a machine learning model in the database. and Lawrence, N.D.,

Modeling 89

Modeling Statistics Machine Learning Testing 89

Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. 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.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Cloudera

MARCH 3, 2022

Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments. From Bad to Worse.

Data Governance 97

Data Governance Enterprise Data Quality Metadata 97

IBM Big Data Hub

JULY 6, 2022

starts at the data source, collecting data pipeline metadata across key solutions in the modern data stack like Airflow, dbt, Databricks and many more. Moreover, mean time to repair (MTTR) is also improved as contextual metadata helps data engineers focus on the source of the problem, rather than debugging where the problem stems from.

Metadata 57

Metadata Data Quality Snapshot Cost-Benefit 57

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 84

Metadata Data Warehouse Forecasting Predictive Modeling 84

Alation

FEBRUARY 12, 2020

Gone are the days when static metadata repositories and manual curation were enough (if they ever really were). Do you have the machine learning expertise to capture technical, operational, business and social metadata metadata? Subscribe to Alation's Blog. Hundreds of data sources. Millions of datasets.

Enterprise 52

Enterprise Metadata Machine Learning Reporting 52

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 107

Data Warehouse Metadata Machine Learning Measurement 107

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow.

Reporting 88

Reporting Data Warehouse Data Lake Machine Learning 88

erwin

JANUARY 30, 2020

However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant. And close to 50 percent have deployed data catalogs and business glossaries. Most have only data governance operations.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

IBM Big Data Hub

SEPTEMBER 20, 2022

Organizations are increasingly depending upon artificial intelligence (AI) and Machine Learning (ML) to assist humans in decision making. Consider these three crucial steps in the lifecycle of building out your next AI or machine learning model or improving a current one. Comprehensive, trusted data sets.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

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. The time for data professionals to meet this challenge is now.

Strategy 92

Strategy Data Architecture Cost-Benefit Reporting 92

Alation

MAY 20, 2021

Alation has upgraded search with ranking that weights valuable social signals, and a new view that shares metadata alongside results. Some people really like to see metadata alongside their search results. Search Metadata: Comments, Trust Flag Text, BI custom SQL. Data search just got better. With the latest release of 2021.2,

Enterprise 52

Enterprise Metadata Data Quality Machine Learning 52

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections. Technical metadata to describe schemas, indexes and other database objects.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Cloudera

SEPTEMBER 29, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to Microsoft HDInsight (also powered by Apache Hive-LLAP) on Azure using the TPC-DS 2.9 The post Cloudera Data Warehouse outperforms Azure HDInsight in TPC-DS benchmark appeared first on Cloudera Blog.

Data Warehouse 117

Data Warehouse Metadata Data-driven Machine Learning 117

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. This will be discussed in a later blog. The underlying data file locations will not change.

Snapshot 70

Snapshot Metadata Data Warehouse Testing 70

Alation

DECEMBER 15, 2022

August 2017: Alation debuts as a leader in the Gartner MQ for Metadata Management Solutions. August 2018: Gartner names Alation a 2X Leader in the MQ for Metadata Management Solutions. October 2019: Gartner names Alation a 3X Leader to the Gartner Magic Quadrant for Metadata Management Solutions. June 2017: Yahoo Japan Corp.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

FineReport

MAY 6, 2020

Machine learning. Machine learning murni menekankan kepada kemampuan prediktif dan pengimplimentasian algoritma tetapi statistik menekankan kepada tingkat penginterpretasiannya. Manajemen data: ETL (Extract, Transform, Load), pengelolaan data, management responsibility, metadata. Database: SQL, MySQL, DB.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Cloudera

AUGUST 3, 2021

Point solutions promote themselves as being specialists in specific business process areas and the preferred solution – data warehousing, machine learning as examples. The post Minimizing Supply Chain Disruptions with Advanced Analytics appeared first on Cloudera Blog. Open source solutions reduce risk.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108