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.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

AltexSoft

JULY 29, 2022

A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. Instruments like Apache ZooKeeper and Apache Oozie help better coordinate operations, schedule jobs, and track metadata across a Hadoop cluster. Let’s see why.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

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

AltexSoft

MAY 12, 2023

There are several widely used unstructured data storage solutions such as data lakes (e.g., Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., Also, modern cloud data warehouses and data lakehouses may be good options for the same purposes. Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

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.

Scala 64

Scala Data Lake Machine Learning BI 64

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

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 Cloud Google Cloud 52

Confluent

MAY 29, 2019

Rigid file naming standards that had built-in dependency metadata. Of course, a local Maven repository is not fit for real environments, but Gradle supports all major Maven repository servers, as well as AWS S3 and Google Cloud Storage as Maven artifact repositories. m2 directory. id 'maven-publish'. version = '1.0.0'.

Kafka 96

Kafka Management Bytes SQL 96

dbt Developer Hub

NOVEMBER 28, 2021

From the Airflow side ​ A client has 100 data pipelines running via a cron job in a GCP (Google Cloud Platform) virtual machine, every day at 8am. In a Google Cloud Storage bucket. It was simple to set up, but then the conversation started flowing: “Where am I going to put logs?”

SQL 52

SQL Google Cloud Cloud Consulting 52

ProjectPro

AUGUST 24, 2021

Source Code: Event Data Analysis using AWS ELK Stack 5) Data Ingestion This project involves data ingestion and processing pipeline with real-time streaming and batch loads on the Google cloud platform (GCP). Create a service account on GCP and download Google Cloud SDK(Software developer kit).

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

ProjectPro

JULY 30, 2021

50 Cloud Computing Interview Questions and Answers f0r 2023 Knowing how to answer the most commonly asked cloud computing questions can increase your chances of landing your dream cloud computing job roles. What are some popular use cases for cloud computing? Running an image will create an instance on the cloud.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Ascend.io

AUGUST 31, 2023

Load before Transform: Data lakes store all the extracted data directly in a storage system like Amazon S3, Azure Blob Store, or Google Cloud Storage, in its original structure (the “L” comes before the “T” in ELT).

Data Lake 52

Data Lake Data Warehouse ETL Tools Data Pipeline 52

Confluent

SEPTEMBER 20, 2019

Schema Registry: repository service for metadata and schemas using the REST API. Confluent Cloud, for example, provides out-of-the-box connectors so developers don’t need to spend time creating and maintaining their own. Clients API: framework for creating producers (writers) and consumers (readers).

Kafka 21

Kafka Management Cloud AWS 21

Monte Carlo

AUGUST 19, 2023

Regardless of which side you take, you quite literally cannot build a modern data platform without investing in cloud storage and compute. Snowflake, a cloud data warehouse, is a popular choice among data teams when it comes to quickly scaling up a data platform.

Building 52

Building BI Data Lake Data Governance 52

Rockset

JUNE 7, 2021

The CDC system then periodically polls the source file system to check for any new files using the file metadata it stored earlier as a reference. Any new files are then captured and their metadata stored too. Along with the data, the path of the file and the source system it was captured from is also stored.

IT 40

IT Kafka Database MongoDB 40