Data Engineering Podcast

AUGUST 6, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Data Engineering Podcast

AUGUST 6, 2017

Contact Information Email @rywalker on Twitter Links Astronomer Kiss Metrics Segment Marketing tools chart Clickstream HIPAA FERPA PCI Mesos Mesos DC/OS Airflow SSIS Marathon Prometheus Grafana Terraform Kafka Spark ELK Stack React GraphQL PostGreSQL MongoDB Ceph Druid Aries Vault Adapter Pattern Docker Kinesis API Gateway Kong AWS Lambda Flink Redshift (..)

PostgreSQL 100

PostgreSQL MongoDB Data Pipeline Kafka 100

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 Engineering Podcast

APRIL 28, 2019

Go to dataengineeringpodcast.com/segmentio today to sign up for their startup plan and get $25,000 in Segment credits and $1 million in free software from marketing and analytics companies like AWS, Google, and Intercom.

Database 100

Database PostgreSQL MongoDB MySQL 100

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

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

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

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

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

Rockset

JUNE 7, 2022

Two popular options are MongoDB and Amazon DynamoDB , and architects often find themselves choosing between the two. In this article, we’ll compare MongoDB and Amazon DynamoDB to each other and highlight their significant differences. MongoDB’s Characteristics MongoDB is a general-purpose database.

MongoDB 52

MongoDB NoSQL Non-relational Database Relational Database 52

Knowledge Hut

SEPTEMBER 6, 2023

EnterpriseDB PostgreSQL 12 Associate Certification The associated exam is CERT-DBA-001.12. One needs to complete foundations of PostgreSQL course. EnterpriseDB PostgreSQL 12 Professional Certification The associated exam is CERT-DBA-002.12. MongoDB Associate DBA Exam The associated exam is C100DBA. MongoDB aggregation.

Database 52

Database Certification MongoDB MySQL 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. PostgreSQL Another open-source relational database. MongoDB Most popular NoSQL database. Kubernetes Helps orchestrate containers on large scale.

MongoDB 98

MongoDB Programming Language Java Python 98

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. So did Seesaw’s growth, according to co-founder and Chief Product Officer, Carl Sjogreen. Results, even for complex queries, would be returned in milliseconds.

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. AWS Data Migration Service : Amazon’s web service for data migration. Rockset was designed for this exact use case. Confluent Cloud (via Debezium): A cloud-native data streaming platform.

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

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

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Organizations employ a variety of providers including AWS, Google Cloud , and Azure for their BI and Machine Learning applications. What logging capabilities does AWS Security offer?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40