The Pragmatic Engineer

NOVEMBER 3, 2022

Printing it loses all this metadata. On 29 Oct, Saturday morning, a new project kicked off, with the first demo due on Monday morning. The first demo was scheduled for Monday, 31 October, in the morning: only two days later. He indirectly mandated working over the weekend by setting a Monday morning demo deadline, on a Saturday.

Software Engineer 130

Software Engineer Software Engineering Coding Media 130

Data Engineering Podcast

JULY 3, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Atlan is the metadata hub for your data ecosystem.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Data Engineering Podcast

JUNE 5, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking all of that information into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Go to dataengineeringpodcast.com/atlan today to learn more about how you can take advantage of active metadata and escape the chaos.

Data Security 100

Data Security Metadata MongoDB Scala 100

The Modern Data Company

APRIL 15, 2024

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). This “metadata” acts as the soul of your data, enriching it and making it more valuable.

Government 52

Government Metadata Data Data Lake 52

ThoughtSpot

JANUARY 31, 2024

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 89

BI Business Intelligence Metadata Machine Learning 89

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. What does this mean for search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

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. How customer has migrated On Premises EDW to Snowflake to leverage snowflake Data Lake capabilities.

Data Lake 52

Data Lake AWS Metadata Data 52

Christophe Blefari

JUNE 16, 2023

Malloy's Near Term Roadmap — I've shared recently Malloy demo , which was awesome. Masthead does not run SQL on your data—which generate costs uplift—but reading logs and metadata to identify anomalies. You can put space in BigQuery column names — The editors of blef.fr (me) have no comment.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Data Engineering Podcast

DECEMBER 16, 2019

The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform. The metadata repository serves as a data catalog and a means of reporting on the health and status of your datasets when it is properly integrated into the rest of your tools.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

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

Databand.ai

SEPTEMBER 12, 2022

Databand helps fix this problem by capturing the metadata from your datasets and then alerting you when dataset operations change unexpectedly. Wrapping it up For more information on how Databand can help you analyze and resolve dataset performance, check out our demo center or book a demo.

Datasets 52

Datasets Metadata Data Engineering Data Engineer 52

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

Monte Carlo

AUGUST 22, 2023

Query samples and metadata are at your fingertips to further drill into metrics that may have affected individual runs like cache performance or partitioning. To see the new dashboard or the entire data observability platform in action, request a demo. Additional integrations, alerting, and root cause analysis functionality is planned.

Metadata 52

Metadata Data Pipeline Data Warehouse Utilities 52

Datakin

SEPTEMBER 13, 2021

Datakin observes your jobs as they run, collecting metadata that helps you understand how data flows through your ecosystem. View our instant demo system right now, or sign up for Datakin to see it with your own datasets and jobs. Blog Datakin in 104 seconds Written by Ross Turk on Sep 13, 2021 Hi!

Metadata 52

Metadata Datasets Data Pipeline Systems 52

Netflix Tech

MARCH 10, 2021

Access the AWS console ( docs , talk , demo ) ConsoleMe allows users to access the AWS console through the use of temporary IAM role credentials. Utilize ConsoleMe’s native policy editors for advanced requests ( docs , talk , demo ) ConsoleMe offers a native policy editor for popular resource types. Where can I learn more?

AWS 100

AWS Accessible Accessibility Cloud 100

Precisely

MAY 31, 2023

Watch our demo Innovations in Data Integrity See the new Data Integrity Suite capabilities that support your end-to-end needs for data that is accurate, consistent, and filled with context. The Data Integrity Suite’s Data Catalog of business and technical metadata connects all Suite services.

Data Integration 52

Data Integration Metadata Data Governance Data 52

Towards Data Science

JUNE 19, 2023

Commands When you encounter a new Compose project (using the Tech Slam ‘N Eggs demo project in the screenshots below), try these commands to get your bearings: Note: see this repository if you’d like to run Compose in a Docker container. mrsm compose run Registers the pipes and syncs them one-by-one.

PostgreSQL 83

PostgreSQL SQL Python Project 83

Monte Carlo

FEBRUARY 13, 2023

Tables are also filtered by asset relevance using an importance score that leverages metadata to understand the number of times a given object is referenced in queries and BI dashboards. Reach out to Brandon and the rest of the team for a demo!

BI 52

BI Metadata Data Engineering Data Engineer 52

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

Confluent

APRIL 10, 2019

For example, when Confluent Monitoring Interceptors are configured on Kafka clients, they write metadata to a Kafka topic called _confluent-monitoring. In one command, this demo environment brings up an active-active multi-datacenter environment with Confluent Replicator copying data bidirectionally. Try it out yourself.

Kafka 86

Kafka Metadata Java Cloud 86

Databand.ai

JUNE 28, 2023

Request a demo from one of our experts. centralizes your pipeline metadata so you can get end-to-end observability into your data pipelines, identify the root cause of health issues quickly, and fix the problem fast. To learn more about Databand and how our platform helps data engineers with their data pipelines, request a demo !

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Cloudera

FEBRUARY 14, 2024

A bloated metadata.json file could increase both read/write times because a large metadata file needs to be read/written every time. Regularly expiring snapshots is recommended to delete data files that are no longer needed, and to keep the size of table metadata small.

Bytes 56

Bytes Metadata Data Lake SQL 56

Rockset

SEPTEMBER 26, 2023

The Rockset console where you can setup the Confluent Cloud integration Real-time updates and metadata filtering in Rockset While Confluent delivers the real-time data for AI applications, the other half of the AI equation is a serving layer capable of handling stringent latency and scale requirements.

Metadata 64

Metadata Kafka Cloud Database 64

Workfall

AUGUST 23, 2023

Hands-On Required installations: To perform the demo, you require the following installations: Visual Studio Code (IDE): It is a feature-rich source code editor designed to enhance coding speed and efficiency by offering a wide range of useful tools. Once prepared, we will establish a dedicated directory for our extension project.

Metadata 83

Metadata Coding Project Utilities 83

Silectis

FEBRUARY 3, 2021

Backed by a robust metadata repository, Magpie leverages activity tracking and data governance to offer a comprehensive suite of automated data lineage features. With an abundance of tooling items, Magpie’s features include metadata object lineage, read and write event tracking, and table lineage graphs, among others.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Rockset

AUGUST 28, 2023

We’ll create a query lambda with the following SQL query on our ShopEvents collection: SELECT COUNT(*) As ItemsSold FROM "Demo-Ecommerce".ShopEvents We can do this by creating a SQL query that will get all Checkout events for the previous day: INSERT INTO "Demo-Ecommerce".OrdersAnalytics ShopEvents e INNER JOIN "Demo-Ecommerce".Products

AWS 52

AWS SQL Datasets Metadata 52

Ascend.io

MAY 23, 2023

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. This creates a clear, easily distinguishable trail of full-fledged artifacts that some businesses require, tracked in Ascend metadata.

Datasets 52

Datasets Data Pipeline Metadata Database 52

Cloudera

MARCH 17, 2023

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. To learn more about Cloudera’s lakehouse visit the webpage and if you are ready to get started watch the Cloudera Now demo.

Education 60

Education Unstructured Data Data Lake Data Warehouse 60

Snowflake

DECEMBER 7, 2023

Known data can serve as metadata around customers’ purchasing history, affinities and buying intent. If you’re interested in how data clean rooms support collaboration, check out the upcoming demo from Samooha and Snowflake on secure collaboration in advertising.

Media 80

Media Retail Digital Media Data 80

Data Engineering Podcast

SEPTEMBER 23, 2018

Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Cloudera

DECEMBER 10, 2020

These techniques range from distributing concurrent query for overall throughput to metadata caching, data caching, and results caching. CDW saves time and resources for end-user workloads but does not compromise metadata availability. 700 / month for security and metadata service . $90 These techniques directly reduce costs. .

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

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. If not paired with Glue, or another metastore/catalog solution, S3 will also lack some of the metadata structure required for more advanced data management tasks.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Silectis

DECEMBER 15, 2020

We built Magpie with integrated security and data governance features including data lineage, detailed activity tracking, object-level access control, metadata management, scheduling and dependency management, comprehensive reporting, and DevOps support. Request your demo below and we’ll be in touch to get you set up.

Data Engineering 52

Data Engineering Data Engineer Engineering ETL Tools 52

phData: Data Engineering

DECEMBER 16, 2021

Where is your metadata stored? Once Alation is being used to curate metadata, machine learning pattern recognition is used to determine usage patterns inside the catalog itself. Collaboration tools like conversation inbox, trust flags, and dashboards for Stewards can also help further define your business’s metadata.

Metadata 52

Metadata Datasets ETL Tools Cloud 52

Data Engineering Weekly

JULY 2, 2023

Atlan AI leverages metadata that Atlan captures across the data stack to make AI part of your data stack. You can get hours back by letting Atlan AI draft your documentation and write your queries. And you won’t have to ask 3 different people in your team just to find the right, trusted data — you just need your AI copilot.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloudera

AUGUST 31, 2021

It has a consistent framework that secures and provides governance for all data and metadata on private clouds, multiple public clouds, or hybrid clouds. The data from your existing data warehouse is migrated to the storage option you choose, and all the metadata is migrated into SDX (Shared Data Experiences) layer of Cloudera Data Platform.

Data Warehouse 80

Data Warehouse Database-centric Metadata Cloud 80

dbt Developer Hub

JANUARY 24, 2023

The solution: Autoscaling CI ​ As of this writing, autoscaling CI is functionality built only within a python package, dbtc ; dbtc is an unaffiliated python interface to the dbt Cloud Metadata and Administrative APIs. A query method on the metadata property.

Metadata 52

Metadata Python Cloud Data Warehouse 52