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

Silectis

JANUARY 3, 2021

Kafka Apache Kafka is the Apache Foundation’s open-source software platform for streaming. NoSQL A non-relational database Open Source Software that is available to freely use and modify Parquet A column-oriented data storage format that’s part of the Hadoop ecosystem. HDFS stands for Hadoop Distributed File System.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Rockset

MARCH 10, 2022

A platform such as Apache Kafka/Confluent , Spark or Amazon Kinesis for publishing that stream of event data. Traditionally, this information would be stored in transactional databases — Oracle Database , MySQL , PostgreSQL , etc. because they allow for mutability: Any field stored in these transactional databases is updatable.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

Rockset

APRIL 29, 2019

DynamoDB has been one of the most popular NoSQL databases in the cloud since its introduction in 2012. As opposed to a traditional RDBMS like PostgreSQL, DynamoDB scales horizontally, obviating the need for careful capacity planning, resharding, and database maintenance. AWS Glue is a fully managed ETL service that lets us do both.

NoSQL 52

NoSQL PostgreSQL AWS SQL 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

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

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards.

Big Data 52

Big Data Certification Hadoop Scala 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 Engineer 52

Data Engineer Data Engineering Engineering AWS 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 NoSQL 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

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 Java 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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

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