Snowflake

JULY 25, 2024

It supports “fuzzy” search — the service takes in natural language queries and returns the most relevant text results, along with associated metadata. Governed : Cortex Search services are schema-level objects in Snowflake and integrate with existing role-based access control (RBAC) policies in a Snowflake account.

Unstructured Data 113

Unstructured Data Metadata Government SQL 113

Monte Carlo

JULY 22, 2024

Maintaining metadata about each version. Providing mechanisms to access and compare different versions. Implement Robust Metadata Management : Effective metadata management is crucial for our data versioning. It involves: Capturing snapshots of datasets at different points in time. Tracking changes between versions.

Metadata 52

Metadata Datasets ETL Tools Data 52

Snowflake

JANUARY 23, 2024

Snowpark ML Operations: Model management The path to production from model development starts with model management, which is the ability to track versioned model artifacts and metadata in a scalable, governed manner. The Snowpark Model Registry API provides simple catalog and retrieval operations on models.

Machine Learning 121

Machine Learning Metadata Python Telecommunication 121

Snowflake

NOVEMBER 1, 2023

And because the Notebook is natively integrated into Snowflake’s role-based access controls (RBAC), it’s easy to securely share and collaborate on your code and results without compromising on any enterprise data. Check out the Snowpark ML demo from Snowday to see the latest launches in action.

Building 109

Building Python SQL Programming Language 109

Data Engineering Podcast

MAY 18, 2021

High-growth startups use Molecula’s feature store because of its unprecedented speed, cost savings, and simplified access to all enterprise data. From feature extraction to model training to production, the Molecula feature store provides continuously updated feature access, reuse, and sharing without the need to pre-process data.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Rockset

APRIL 18, 2023

To highlight these new capabilities, we built a search demo using OpenAI to create embeddings for Amazon product descriptions and Rockset to generate relevant search results. In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

ThoughtSpot

JANUARY 31, 2024

As a result, end users expect faster response times and easier access to meaningful insights. Not only does ThoughtSpot not store your sample data or metadata, or use this information for model training, but we are also investing in bring-your-own and host-your-own model capabilities for both generative AI and machine learning models.

BI 105

BI Business Intelligence Machine Learning Metadata 105

Cloudera

JULY 13, 2023

In this blog, we will discuss performance improvement that Cloudera has contributed to the Apache Iceberg project in regards to Iceberg metadata reads, and we’ll showcase the performance benefit using Apache Impala as the query engine. Impala can access Hive table metadata fast because HMS is backed by RDBMS, such as mysql or postgresql.

Java 69

Java Metadata PostgreSQL Data Warehouse 69

Snowflake

AUGUST 31, 2023

Catalog Integration: Our newly developed Catalog Integration feature allows you to seamlessly plug Snowflake into other Iceberg catalogs tracking table metadata. For metadata management, you can configure Snowflake to manage your Iceberg data or use an external Iceberg catalog.

Metadata 87

Metadata AWS Data Lake Datasets 87

Monte Carlo

AUGUST 6, 2024

They are integral to an organization’s data strategy, ensuring data accessibility, accuracy, and utility. Access Layer : Optimized for end-user querying and reporting. Access Layer: Serving Business Users The Access Layer is optimized for efficient querying and reporting, tailored to meet the needs of your business users.

Data Warehouse 52

Data Warehouse Raw Data BI Machine Learning 52

Cloudyard

DECEMBER 13, 2022

Moreover, We will use the below architecture to showcase the Demo where convert the existing Data Lake to Snowflake Deployment. DMS For this Demo we launched RDS service for ORACLE in AWS and created some tables. Kinesisdest:Bucket to hold Streaming data i.e. JSON file Externalbucketstream:Bucket to hold In frequent access data.

Data Lake 52

Data Lake AWS Metadata Data 52

Snowflake

JULY 25, 2024

It supports “fuzzy” search — the service takes in natural language queries and returns the most relevant text results, along with associated metadata. Governed : Cortex Search services are schema-level objects in Snowflake and integrate with existing role-based access control (RBAC) policies in a Snowflake account.

Unstructured Data 52

Unstructured Data Metadata Government Database 52

Cloudera

SEPTEMBER 15, 2022

Furthermore, data stored in Ozone can be accessed for various use cases via different protocols, eliminating the need for data duplication, which in turn reduces risk and optimizes resource utilization. Interoperability of the same data for several workloads: multi-protocol access. Diversity of workloads. OBJECT_STORE Bucket (“OBS”).

Systems 86

Systems Hadoop Metadata Telecommunication 86

The Modern Data Company

APRIL 15, 2024

Manages information about data access and monitors data quality. It’s a combination of the data itself, the metadata (information about the data), code (the set of instructions on how to process or analyze the data), and infrastructure (the technological framework that supports it all).

Government 52

Government Metadata Data Data Management 52

Rockset

NOVEMBER 7, 2023

As a result, indexing of newly ingested vectors and metadata does not negatively impact search performance. Rockset supports streaming updates to metadata and vectors in an efficient way. Multiple virtual instances can simultaneously access the same dataset, eliminating the need for multiple replicas of data.

Cloud 64

Cloud Metadata Database SQL 64

Precisely

MAY 31, 2023

In the same way that big cloud-platform providers offer simplified access to infrastructure, and data cloud providers like Databricks and Snowflake have vastly simplified access to data and analytics, modern data integrity tools must streamline and automate data integrity processes.

Data Integration 52

Data Integration Metadata Data Governance Data 52

Monte Carlo

MAY 25, 2023

That’s why we’re excited to announce that uniting diverse data team personas to collectively ensure data quality just got easier, thanks to a new integration between Monte Carlo’s data observability platform and Atlan’s active metadata platform. The pipeline might succeed, but we wouldn’t know if the data was right, wrong, or indifferent.

Metadata 52

Metadata Data Governance Government Business Intelligence 52

Monte Carlo

MAY 20, 2024

It emphasizes discoverability, accessibility, and governance of data assets, promoting an integrated approach to data management across multiple platforms and stakeholders. The catalog also supports compliance and security protocols by tracking data usage and access, making it an indispensable tool for managing data at scale.

Datasets 52

Datasets Data Government Business Analyst 52

The Modern Data Company

MARCH 7, 2023

However, more often than not, it conjures up the idea of a central authority strictly guarding against such access. A data taxonomy uses a system of unambiguous metadata terms (such as a filename or tags attached to a file) that allow an enterprise to classify a file or dataset into important business categories.

Data Governance 52

Data Governance Government Metadata Datasets 52

Knowledge Hut

MAY 26, 2024

This means that you can always know exactly where your data is stored and how it is accessed. This system is designed to provide a way for applications to access data stored on a remote server without having to copy the data to the local machine. It houses metadata and both the desired and current state for each resource.

Metadata 52

Metadata Certification Accessible Accessibility 52

The Modern Data Company

JANUARY 17, 2023

Likewise, the enterprise as a whole has no access to the data in the CDP. Without lineage or governance metadata, the quality of this data is anyone’s guess. It can apply metadata and track the lineage of CDP data to improve data quality. Collecting more data isn’t always a good thing.

Metadata 59

Metadata Government Data Lake Data 59

Cloudera

MARCH 17, 2023

The one key component that is missing is a common, shared table format, that can be used by all analytic services accessing the lakehouse data. 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.

Education 64

Education Unstructured Data Data Lake Data Warehouse 64

Cloudera

NOVEMBER 23, 2021

Apache Knox Gateway provides perimeter security so that the enterprise can confidently extend access to new users. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets. You can access COD right from your CDP console. Apache Phoenix.

Database 89

Database Non-relational Database NoSQL Government 89

Precisely

JULY 21, 2023

Customize the Replication Script: Use the scripting language provided by Precisely to define variables, specify metadata replication preferences, and map Cobol copybook descriptions for VSAM files. The Confluent and Precisely partnership helps make this possible and addresses the challenges of tomorrow – watch the demo now.

Data Integration 52

Data Integration Kafka Bytes Banking 52

Cloudera

AUGUST 4, 2021

Trends toward more self-service data access and real-time applications have made data governance more visible and critical than ever before. The data is profiled and enhanced with rich metadata—including operational, social, and business context—creating trusted and reusable data assets and making them discoverable.

Data Governance 84

Data Governance Government Metadata Data Security 84

Cloudera

JULY 14, 2023

They simply read the underlying data (not even full read, they just read the parquet headers) and create corresponding Iceberg metadata files. Query engines (Impala, Hive, Spark) might mitigate some of these problems by using Iceberg’s metadata files. Hive creates Iceberg’s metadata files for the same exact table.

Metadata 69

Metadata Data Warehouse Big Data Ecosystem Java 69

Ascend.io

DECEMBER 19, 2022

Improved Support for Databricks To highlight our improved Databricks capabilities, our re:Invent booth was next to theirs, and we chose to power our demos with their Lakehouse. Instead, it is a Sankey diagram driven by the same dynamic metadata that runs the Ascend control plane. If you were wondering why, here is your answer.

Data Ingestion 52

Data Ingestion Data Pipeline Metadata AWS 52

Snowflake

OCTOBER 2, 2023

Access to a complete view of the customer is incredibly powerful. The Snowflake Data Cloud offering enables access to all of your customer data alongside infinite compute power to model it. Accelerate AI projects with historical snapshots and metadata Operationalizing AI is quickly becoming a competitive requirement for businesses.

Cloud 106

Cloud Building Insurance Data Engineering 106

Snowflake

FEBRUARY 29, 2024

They need an easier access path to convert that latitude and longitude into something more powerful. This grid, along with the metadata that represents the details of how the grid is constructed and used, is referred to as a spatial index. Caption: A demo Streamlit app visualizes H3 hexagons at different resolutions for the same data.

Insurance 90

Insurance SQL BI Consulting 90

Towards Data Science

JULY 8, 2024

I have used Colab for this demo, as it is much easier (and faster) to configure the environment. You can access it from here. This process also creates a sqlite database for storing the metadata of the pipeline process. Every record and its metadata are stored in dictionary format. Explore them here.

Data Preparation 46

Data Preparation Datasets Metadata Data Ingestion 46

Monte Carlo

MARCH 1, 2022

Our Python SDK gives data engineers programmatic access to Monte Carlo to augment our data observability platform’s lineage, cataloging, and monitoring functionalities. Now, data engineers can use the Python SDK to more conveniently access all of Monte Carlo’s APIs. Aggregating metadata. What does Pycarlo support?

Python 52

Python Metadata Business Intelligence Data Engineer 52

Silectis

FEBRUARY 3, 2021

With access to data lineage tooling, a data producer is empowered to quickly identify each of the impacted downstream pipelines and notify the owners of the error. Backed by a robust metadata repository, Magpie leverages activity tracking and data governance to offer a comprehensive suite of automated data lineage features.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

DECEMBER 10, 2020

In a multi-tenant environment, many users access the same data sources. The very high degree of compression built into these file formats reduces storage space and time to access storage. These techniques range from distributing concurrent query for overall throughput to metadata caching, data caching, and results caching.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Ascend.io

MAY 23, 2023

They are blindsided when they read from a table they’ve been granted access to, only to find out it had been abandoned by the data engineers weeks ago. However, Ascend always keeps a record of every change in its metadata, so the tables themselves are not needed to look back at schemas, when changes were made, who made them, etc.

Datasets 52

Datasets Data Pipeline Metadata Database 52

Rockset

SEPTEMBER 26, 2023

AI-powered applications almost always need access to real-time data to deliver accurate results in a responsive user experience that the market has come to expect. Metadata filtering is a useful, perhaps even essential, companion to vector search that restricts nearest-neighbor matches based on specific criteria.

Metadata 64

Metadata Kafka Cloud Database 64

Monte Carlo

APRIL 24, 2023

However, one of the biggest trends in data lake technologies, and a capability to evaluate carefully, is the addition of more structured metadata creating “lakehouse” architecture. Amazon S3 and/or Lake Formation Amazon S3 is a popular storage platform to build and store data lakes thanks to its high availability and low latency access.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Databand.ai

JUNE 28, 2023

More people accessing the data and running their own pipelines and their own transformations causes errors and impacts data stability. Request a demo from one of our experts. To learn more about Databand and how our platform helps data engineers with their data pipelines, request a demo ! It isn’t enough to monitor anymore.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98