Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. How long each step takes to complete.

Kafka 21

Kafka Management Cloud AWS 21

Knowledge Hut

DECEMBER 22, 2023

Some popular choices include MySQL, MongoDB, Oracle Database, and SQLite. Some popular servers you need to learn the usage of are Heroku, Google cloud platform, Amazon web services, and Microsoft Azure. Writing back-end code in PHP, C#, or Python can add to your resume and help you to become the best full-stack developer.

Recruitment 98

Recruitment Portfolio Programming Language Python 98

Striim

OCTOBER 11, 2024

For instance, Macy’s streams change data from on-premises databases to Google Cloud. To achieve this, the TechOps team implemented a real-time data hub using MongoDB, Striim, Azure, and Databricks to maintain seamless, large-scale operations. Another excellent data pipeline example is American Airlines’ work with Striim.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Edureka

OCTOBER 10, 2024

This activity is rather critical of migrating data, extending cloud and on-premises deployments, and getting data ready for analytics. In this all-encompassing tutorial blog, we are going to give a detailed explanation of the Copy activity with special attention to datastores, file type, and options. can be ingested in Azure.

MongoDB 40

MongoDB NoSQL Metadata Datasets 40

ProjectPro

JANUARY 19, 2022

Cloud Services Providers Platforms As companies are gradually becoming more inclined towards investing in cloud computing for storing their data instead of bulky hardware systems, engineers who can work on cloud computing tools are in demand. It nicely supports Hybrid Cloud Space. Subscription plans are not so flexible.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

FEBRUARY 7, 2023

In this blog, we go through what a Data Science Platform is, the different types of platforms, and how they can be used to bring value to the business so that the big corporates can stay in the race to conquer the market of the future. Data Science on Google cloud platform Google Cloud is one of the best data science learning platforms.

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

Knowledge Hut

NOVEMBER 28, 2023

Before you start a Full Stack Software Developer course and apply for a full stack developer internship online, read the following blog to learn about the tips and best practices to land a full stack developer internship.

Recruitment 52

Recruitment Computer Science Java PostgreSQL 52

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

Edureka

FEBRUARY 12, 2025

Examples: SQL databases MongoDB Firebase Cloud Platforms and Infrastructure Supports deployment and scaling of applications. Examples: AWS Lambda Google Cloud Azure Functions Monitoring and Debugging Tools Integrates with tools for tracking and improving application performance. Web Application (e.g.,

IT 52

IT Database Google Cloud Coding 52

Edureka

JANUARY 12, 2024

Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions are popular choices. To stay updated on these trends, it’s essential to follow industry blogs, attend relevant webinars and conferences, participate in online communities and forums, and continuously explore and experiment with new technologies and tools.

Java 52

Java NoSQL MongoDB Programming 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. 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).

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Rockset

JUNE 7, 2021

These CDC implementations are offered in the form of configurable connectors for systems such as MongoDB , DynamoDB , MySQL , Postgres and others. Lewis Gavin has been a data engineer for five years and has also been blogging about skills within the Data community for four years on a personal blog and Medium.

IT 40

IT Kafka Database MongoDB 40

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. Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 18.

Big Data 52

Big Data Certification Hadoop Kafka 52

Cloudera

DECEMBER 12, 2018

There’s MongoDB for document stores. I would say the main difference between the two platforms is obviously that one is completely open source, relies on open file formats, and can be run both on-premises and on any cloud. It can also run on Google Cloud, it runs on top of an object store in S3, as well as ADLS.

Data Warehouse 42

Data Warehouse Relational Database Hadoop Database 42

Christophe Blefari

AUGUST 4, 2023

As a disclaimer, this may not quite make sense in a corporate context, but since this is my blog, I'll do what I want. FAQ and remarks Why do you use Google Cloud? However over the years I've met people working at these companies so I might have a few biais. I hope you'll enjoy this Data News Summer Edition.

Google Cloud 225

Google Cloud MongoDB NoSQL Data 225

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. that leverage big data analytics and tools.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Rockset

APRIL 15, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Most were cloud native ( Amazon Kinesis , Google Cloud Dataflow) or were commercially adapted for the cloud ( Kafka ⇒ Confluent, Spark ⇒ Databricks). They were unaffordable for most companies.

Analytics Application 52

Analytics Application Data Warehouse Kafka Database 52