Christophe Blefari

FEBRUARY 3, 2023

How we deployed a simple wildlife monitoring system on Google Cloud — Artefact engineering a serverless platform on GCP to do wildlife monitoring. Select Star is another data catalog that automatically connects to your tools and provides the usual data catalog UI based on a search bar with metadata management inside.

BI 130

BI Google Cloud Machine Learning SQL 130

Data Engineering Weekly

JUNE 29, 2023

Databricks and Snowflake are better places to index the data and its metadata to enable natural language query capabilities. The question remains how far the data catalog tools can go with just the metadata. I exclude Google Cloud since I rarely see Google Cloud users using either Snowflake or Databricks.

Data Engineer 77

Data Engineer Data Engineering Google Cloud Engineering 77

Towards Data Science

MARCH 5, 2024

Let’s assume the task is to copy data from a BigQuery dataset called bronze to another dataset called silver within a Google Cloud Platform project called project_x. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task. Data can easily be uploaded and stored for low costs.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

Cloudera

DECEMBER 15, 2022

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. .

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Cloud Metadata Data Warehouse Google Cloud 80

Data Engineering Podcast

FEBRUARY 3, 2019

It’s running on Google cloud services on a Debian linux. What pieces of metadata do you track for a given data set? It’s running on Google cloud services on a Debian linux. What pieces of metadata do you track for a given data set?

Digital Media 100

Digital Media Media PostgreSQL Datasets 100

Knowledge Hut

APRIL 25, 2024

Originally created by Google Cloud in 2014, Kubernetes is now being offered by leading Cloud Providers like AWS and Azure. apiVersion: v1 kind: Pod metadata: name: Postgres spec: containers: - name: Postgres image: Postgres: 3.1 Here is a sample YAML file used to create a pod with the postgres database.

Database-centric 81

Database-centric Metadata MongoDB Pipeline-centric 81

RandomTrees

JULY 15, 2024

Datadog easily connects with popular cloud service providers such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and more. This means you can quickly start monitoring and managing your cloud infrastructure, applications, and services without hassle, regardless of which cloud provider you use.

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Cloud Google Cloud Amazon Web Services Metadata 52

Tweag

OCTOBER 16, 2024

We recently completed a project with IMAX, where we learned that they had developed a way to simplify and optimize the process of integrating Google Cloud Storage (GCS) with Bazel. rules_gcs is a Bazel ruleset that facilitates the downloading of files from Google Cloud Storage. What is rules_gcs ?

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Google Cloud Cloud Storage Accessibility Accessible 67

Monte Carlo

MARCH 12, 2024

Dataplex works with your metadata. As you add new data sources to your data stores, Dataplex leverages the structured and unstructured metadata with built-in data quality checks to maintain integrity. Courtesy of Google Cloud. Courtesy of Google Cloud. Our promise: we will show you the product.

Google Cloud 52

Google Cloud Metadata SQL Data Lake 52

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

Cloudera

DECEMBER 9, 2022

Recently, we announced the general availability of DataFlow Functions , allowing NiFi flows to be executed in serverless compute environments, such as AWS Lambda, Azure Functions, or Google Cloud Functions. . With NiFi you can configure your source processor and run it independently of any other processors to retrieve data.

Designing 100

Designing Coding Google Cloud Cloud 100

Confluent

APRIL 2, 2019

This means you now have access, without any time constraints, to tools such as Control Center, Replicator, security plugins for LDAP and connectors for systems, such as IBM MQ, Apache Cassandra and Google Cloud Storage. Output metadata. Some of the changes include: Feed pause and resume. Card and table formats.

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Kafka Java Cloud Metadata 21

RandomTrees

SEPTEMBER 17, 2024

The Unity Catalog is Databricks governance solution which integrates with Databricks workspaces and provides a centralized platform for managing metadata, data access, and security. It acts as a sophisticated metastore that not only organizes metadata but also enforces security and governance policies across various data assets and AI models.

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Data Governance Government Metadata Machine Learning 52

The Pragmatic Engineer

NOVEMBER 3, 2022

Printing it loses all this metadata. Several engineers are tasked with investigating which systems can be scaled back or turned off completely, to reduce cloud operations costs. Reviewing code is done on the computer because it’s more efficient, because you can jump between revisions, see who made which change, and so on.

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Software Engineering Software Engineer Coding Media 130

Cloudera

MARCH 14, 2023

Attributes contain key metadata like the source directory of a file or the source topic of a Kafka message. Figure 6: While listing the content of a queue, you can pin attributes for easy access The ability to view metadata and pin attributes is very useful to find the right events that you want to explore further.

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Data Pipeline Designing Kafka Metadata 84

Snowflake

JULY 30, 2024

Interoperability through community Just as large communities have grown in support of open source projects for open file and table formats, there is a community emerging to collaborate on standards for metadata catalogs. Diversity of ideas and community contributions creates the most interoperable catalog across the widest variety of tools.

Google Cloud 52

Google Cloud Metadata Architecture Project 52

Ascend.io

FEBRUARY 2, 2023

Rostratter joins Ascend from Google, where she led various sales and vendor teams for Google Cloud to better serve Small and Medium Businesses across Europe , Middle East, and Africa. Prior to Google, she worked as an investment researcher for S&P Global Market Intelligence and GLG. SAN FRANCISCO , Feb.

Data Pipeline 52

Data Pipeline Google Cloud Metadata Media 52

Ascend.io

FEBRUARY 2, 2023

Rostratter joins Ascend from Google, where she led various sales and vendor teams for Google Cloud to better serve Small and Medium Businesses across Europe , Middle East, and Africa. Prior to Google, she worked as an investment researcher for S&P Global Market Intelligence and GLG. SAN FRANCISCO , Feb.

Data Pipeline 52

Data Pipeline Google Cloud Metadata Media 52

Monte Carlo

JUNE 28, 2022

By design, data was less structured with limited metadata and no ACID properties. With this new release, Monte Carlo now supports all delta tables across all metastores and all three major platform providers including Microsoft Azure, AWS and Google Cloud.

Data Lake 52

Data Lake Metadata AWS Data Warehouse 52

Knowledge Hut

DECEMBER 29, 2023

The “head” tags (<head> and </head>) contain the metadata or information about the website. Not all of the metadata is visible on the website, some of them are information for the browsers. Cloud Providers like Amazon Web Services, Google Cloud Platform, Microsoft Azure also provide hosting services.

Portfolio 98

Portfolio Amazon Web Services Coding Programming Language 98

Booking.com Engineering

DECEMBER 2, 2022

In this article, we want to illustrate our extensive use of the public cloud, specifically Google Cloud Platform (GCP). As an example, in one of our first BigQuery aggregations, we had a large query that joined statistics data with metadata, then aggregated over it. Booking Holdings, as a whole, spent $4.7

Systems 52

Systems Cloud MySQL Relational Database 52

Edureka

MAY 6, 2024

Step 4) Model Deployment Study how to deploy machine learning models on cloud platforms like AWS, Google Cloud Platform (GCP), or Microsoft Azure. Step 6) Metadata Management Understand the importance of metadata (data about data) and how to manage it effectively.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Monte Carlo

JUNE 26, 2023

As the only data observability platform to provide full visibility into delta tables With our delta lake integration, Monte Carlo supports all delta tables across all metastores and all three major platform providers including Microsoft Azure, AWS and Google Cloud.

Data Lake 52

Data Lake Metadata Bytes Machine Learning 52

Hepta Analytics

FEBRUARY 14, 2022

Disadvantages of a data lake are: Can easily become a data swamp data has no versioning Same data with incompatible schemas is a problem without versioning Has no metadata associated It is difficult to join the data Data warehouse stores processed data, mostly structured data. The data is easily accessible and is easy to update.

Data Ingestion 52

Data Ingestion Data Engineer Data Engineering Engineering 52

phData: Data Engineering

AUGUST 4, 2023

It handles the metadata related to these objects, access control configurations, and query optimization statistics. The external stage area includes Microsoft Azure Blob storage, Amazon AWS S3, and Google Cloud Storage. Cloud Storage Snowflake leverages the cloud’s native object storage services (e.g.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

Knowledge Hut

APRIL 4, 2024

You can think of a cookbook as a collection of all the recipes, files, characteristics, and metadata you'll need to implement a specific scenario. Metadata A small bit of metadata is required for every cookbook. Cookbooks In Chef Infra, a Cookbook is the basic unit of configuration and policy distribution.

Architecture 52

Architecture Amazon Web Services Metadata AWS 52

Knowledge Hut

MAY 26, 2024

It houses metadata and both the desired and current state for each resource. So, if any other component needs to access information about the metadata or state of resources stored in the etcd, they have to go through the kube-apiserver. This ensures that all of the configurations are set correctly before being stored in the etcd.

Metadata 52

Metadata Certification Accessibility Accessible 52

Datakin

OCTOBER 14, 2021

Prerequisites Set up a BigQuery project and service account This exercise requires familiarity with dbt and Google BigQuery. Most importantly, you will need to know: the file path of your Google Cloud service account’s JSON key the name of your Google Cloud project If that doesn’t mean anything to you, never fear!

Google Cloud 52

Google Cloud Datasets Bytes Metadata 52

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.

Scala 64

Scala Data Lake Machine Learning BI 64

Edureka

OCTOBER 10, 2024

File Systems: Data from several file systems, including FTP, SFTP, HDFS, and different cloud storages such as Amazon S3, Google cloud storage, etc., Preserve Metadata Along with Data When copying data, you can also choose to preserve metadata such as column names, data types, and file properties.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

Data Engineering Weekly

OCTOBER 23, 2022

The Data Engineering Weekly even published a special Metadata Edition focusing on the historical development of the Data Catalog. link] It is almost two years since we published the metadata edition, but I keep thinking back. link] Prabhuk Karthi STB: 10 Key Takeaways From Google Cloud Next22 Bye Bye Google Studio!!

Data Engineer 52

Data Engineer Data Engineering Engineering Deep Learning 52

ProjectPro

NOVEMBER 15, 2021

Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016. To execute pipelines, beam supports numerous distributed processing back-ends, including Apache Flink, Apache Spark , Apache Samza, Hazelcast Jet, Google Cloud Dataflow, etc.

Big Data 52

Big Data Project Metadata Programming Language 52

Monte Carlo

AUGUST 25, 2023

A warehouse can be a one-stop solution, where metadata, storage, and compute components come from the same place and are under the orchestration of a single vendor. Some of the well-known players in the data warehouse sphere include Amazon Redshift, Google BigQuery, and Snowflake.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Rockset

MAY 8, 2023

Spotify builds the vector embeddings with the query text being the input embedding and a concatenation of textual metadata fields including title and description for the podcast episode embeddings. One of the reasons that Vespa was chosen is that it can also incorporate metadata filtering post-search on features like episode popularity.

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

Knowledge Hut

FEBRUARY 7, 2023

v1 Kind: StorageClass metadata: Name: standard provisioner: kubernetes.io/aws-ebs aws-ebs parameters: type: gp3 reclaimPolicy: Retain allowVolumeExpansion: true mount0ptions: debug volumeBindingMode: Immediate The StorageClass object's name is crucial since it permits requests to that specific class. Example: a.

Metadata 52

Metadata AWS Google Cloud Cloud 52

ProjectPro

JANUARY 12, 2016

Hortonworks and Cloudera both depend on HDFS and go with the DataNode and NameNode architecture for splitting up where the data processing is done and metadata is saved. Leading companies like Cisco, Ancestry.com, Boeing, Google Cloud Platform and Amazon EMR use MapR Hadoop Distribution for their Hadoop services.

Hadoop 52

Hadoop Big Data Java Metadata 52

dbt Developer Hub

NOVEMBER 28, 2021

OpenLineage collects data lineage and performance metadata as models run, so I can identify issues and find bottlenecks. I decided that this situation called for a small slice of PyPI: a table that only contains rows for the packages I am studying, one that I can point a greedy dashboarding tool at without blowing up my Google Cloud bill.

Raw Data 52

Raw Data Metadata Database Datasets 52