Rockset

OCTOBER 20, 2021

For instance, let’s say you have streaming data coming in from Kafka or Kinesis. S3 or GCS), NoSQL databases (e.g. PostgreSQL or MySQL). For high velocity data, most commonly coming from data streams, you can roll it up at write-time. Collections can also be created from other data sources including data lakes (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Databand.ai

DECEMBER 13, 2022

Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS). Beyond his work at Google, Deepanshu also mentors others on career and interview advice at topmate.io/deepanshu.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Rockset

APRIL 15, 2021

This has been by far one of the most well-known weaknesses of relational databases for much of the past decade, and has led to surges in popularity of several new classes of databases such as NoSQL and NewSQL – each with their own sets of tradeoffs and drawbacks.

PostgreSQL 40

PostgreSQL MySQL Relational Database NoSQL 40

Rockset

MARCH 26, 2023

Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack. PostgreSQL, MySQL, SQL Server, and even Oracle are popular choices, but there are many others that will work fine.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Knowledge Hut

NOVEMBER 19, 2023

Open Source Support: Many Azure services support popular open-source frameworks like Apache Spark, Kafka, and Hadoop, providing flexibility for data engineering tasks. The Single Server option has been the most often used method of deploying PostgreSQL on the Azure platform up to this point.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

Rockset

JUNE 16, 2020

An omni-channel retail personalization application, as an example, may require order data from MongoDB, user activity streams from Kafka, and third-party data from a data lake. We can load new data from other data sources—Kafka and Amazon S3—into our production MongoDB instance and run our queries there.

MongoDB 52

MongoDB Data Lake PostgreSQL Kafka 52

Rockset

JANUARY 28, 2022

However, Seesaw’s DynamoDB database stored the data in its own NoSQL format that made it easy to build applications, just not analytical ones. And that was only possible if both internal and external users could drill down into the freshest data possible in order to get the answers they needed.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

AltexSoft

SEPTEMBER 21, 2023

First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. What is Elasticsearch? It is developed in Java and built upon the highly reputable Apache Lucene library. The engine’s core strength lies in its high-speed, near real-time searches.

Engineering 52

Engineering NoSQL Programming Language Java 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. Most relational databases, like PostgreSQL and MySQL, are row-based databases. We'll use DynamoDB to handle these access patterns.

SQL 52

SQL Database Relational Database AWS 52

ProjectPro

DECEMBER 10, 2021

It is a cloud-based NoSQL database that deals mainly with modern app development. Azure Backup is a cloud-based solution offered by Microsoft that allows you to backup Azure Windows VMs, Azure Managed Disks, Azure File shares, SQL Server databases, SAP HANA databases, Azure PostgreSQL databases, etc. What is Azure CosmosDB?

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

APRIL 26, 2016

HBase is a NoSQL database. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers 10) When executing Hive queries in different directories, why is metastore_db created in all places from where Hive is launched? HBase is a NoSQL database whereas Hive is a data warehouse framework to process Hadoop jobs.

Hadoop 40

Hadoop Metadata SQL Database 40

ProjectPro

AUGUST 21, 2015

Structured data: Schema-based data, Datastore in SQL, Postgresql databases etc Semi-structured data : Json objects , json arrays, csv , txt ,xlsx files,web logs ,tweets etc Unstructured data : Audio, Video files, etc FREE eBook on 250 Hadoop Interview Questions and Answers 6. Facebook updates, tweets on Twitter, Reviews, weblogs, etc.

Hadoop 40

Hadoop Big Data Metadata Unstructured Data 40

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? Also, acquire a solid knowledge of databases such as the NoSQL or Oracle database.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40