Rockset

AUGUST 2, 2023

They used MongoDB as their metadata store to capture vessel and company data. The vessel positions data which in nature is a time series geospatial data set, was stored in both PostgreSQL and Cassandra to be able to support different use cases.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Dazu gesellen sich Datenbanken wie der PostgreSQL, Maria DB oder Microsoft SQL Server sowie CosmosDB oder einfachere Cloud-Speicher wie der Microsoft Blobstorage, Amazon S3 oder Google Cloud Storage. Beispiele für verbreitete NoSQL-Datenbanken sind MongoDB, CouchDB, Cassandra oder Neo4J.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Knowledge Hut

DECEMBER 5, 2023

Interactive Learning Platforms: Utilize interactive platforms like Codecademy for programming, Cisco's Networking Academy for networking, or AWS Training for cloud computing. Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud can be advantageous. CentOS, Ubuntu, Red Hat), Unix-based systems (e.g.,

Systems 52

Systems Engineering Recruitment Electronics 52

Knowledge Hut

DECEMBER 25, 2023

Databases are divided into two categories, which are NoSQL(MongoDB) and SQL(PostgreSQL, MySQL, Oracle) databases. The knowledge of either AWS or Azure-based cloud ecosystem is required, and also CI/CD like Jenkins and containerizing & orchestrating applications using Docker and Kubernetes.

Java 98

Java Database PostgreSQL Project 98

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer? Experience with using cloud services providing platforms like AWS/GCP/Azure.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 6, 2023

Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions. AWS Certified Data Analytics - Specialty exam (DAS-C01) Introduction : AWS Certified Data Analytics – Specialty is for experienced individuals.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

SEPTEMBER 6, 2023

Monitor and optimize operational resources in Azure SQL Optimize query performance in Azure SQL Automate database tasks for Azure SQL Plan and implement a high availability and disaster recovery environment. Passing the exam means one has gained a significant knowledge of SQL and its use while working on Oracle Database servers.

Database 52

Database Certification MongoDB MySQL 52

Rockset

JUNE 7, 2022

Traditionally, organizations have chosen relational databases like SQL Server, Oracle , MySQL and Postgres. Two popular options are MongoDB and Amazon DynamoDB , and architects often find themselves choosing between the two. In This Corner, MongoDB MongoDB is a NoSQL, document-oriented general purpose database management system.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Knowledge Hut

DECEMBER 26, 2023

Let’s say you are working Node.js, and you need to connect to MongoDB. To be able to work with MongoDB in Node.js you need to have MongoDB driver for Node.js. Microsoft SQL Server Relational database managed by Microsoft. PostgreSQL Another open-source relational database. MongoDB Most popular NoSQL database.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

Rockset

SEPTEMBER 13, 2022

DynamoDB is a NoSQL database provided by AWS. It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. In a real application, you should use something like Parameter Store or AWS Secrets Manager to store your secret and avoid environment variables.

SQL 52

SQL Database Relational Database AWS 52

Striim

NOVEMBER 13, 2023

Snowflake Writer: Technical Deep Dive on File-based uploads The SnowflakeWriter in Striim is a robust tool that stages events to local storage, AWS S3, or Azure Storage, then writes to Snowflake according to the defined Upload Policy. Key features include: Secure Connection: Utilizes JDBC with SSL, ensuring secure data transmission.

Data Ingestion 59

Data Ingestion Utilities Data Integration Data 59

Rockset

JANUARY 28, 2022

Due to remote learning, most of our key metrics grew by 10X,” Sjogreen said in a video interview with SiliconANGLE’s theCUBE as part of the AWS Startup Showcase in September 2021. Rockset’s native DynamoDB connector automatically ingests and indexes all data within seconds, without ETL, to enable sub-second SQL queries.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Rockset

NOVEMBER 28, 2022

We’ve already built CDC-based data connectors for many common sources: DynamoDB , MongoDB , and more. For some background, when you ingest data into Rockset you can specify a SQL query, called an ingest transformation , that is evaluated on your source data. AWS Data Migration Service : Amazon’s web service for data migration.

Data Warehouse 52

Data Warehouse PostgreSQL MongoDB Data Pipeline 52

Edureka

JANUARY 12, 2024

Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions are popular choices. It consists of four main components: Angular, a JavaScript front-end framework; Express.js, a web application framework for Node.js; MongoDB, a NoSQL database; and Node.js, a server-side runtime. The server-side logic is managed by the Express.js

NoSQL 52

NoSQL Java MongoDB Programming 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40