ProjectPro

JUNE 6, 2025

They include relational databases like Amazon RDS for MySQL, PostgreSQL, and Oracle and NoSQL databases like Amazon DynamoDB. Database Variety: AWS provides multiple database options such as Aurora (relational), DynamoDB (NoSQL), and ElastiCache (in-memory), letting startups choose the best-fit tech for their needs.

AWS 40

AWS Database Amazon Web Services MySQL 40

ProjectPro

JUNE 6, 2025

Apache Kafka facilitated seamless communication between microservices, and Prometheus/Grafana provided robust monitoring. What are the key considerations when choosing between data storage solutions, such as relational databases, NoSQL databases, and data lakes?

Data Engineering 40

Data Engineering Data Engineer Engineering NoSQL 40

ProjectPro

JUNE 6, 2025

We implemented the data engineering/processing pipeline inside Apache Kafka producers using Java, which was responsible for sending messages to specific topics. At the same time, it is essential to understand how to deal with non-tabular data with its different types, which we call NoSQL databases.

Data Science 40

Data Science Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

CMAK Source: Github CMAK stands for Cluster Manager for Apache Kafka , previously known as Kafka Manager, is a tool for managing Apache Kafka clusters. CMAK is developed to help the Kafka community. Furthermore, Cassandra is a NoSQL database in which all nodes are peers, rather than master-slave architecture.

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

An ETL developer should be familiar with SQL/NoSQL databases and data mapping to understand data storage requirements and design warehouse layout. NoSQL Solutions - You must be familiar with distributed processing big data systems like Hadoop, Spark, and Cassandra that offer NoSQL solutions.

Data Engineering 59

Data Engineering Data Engineer Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Use Kafka for real-time data ingestion, preprocess with Apache Spark, and store data in Snowflake. This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API and stored in a column store called HBase.

Data Engineering 59

Data Engineering Data Engineer Project Engineering 59

ProjectPro

JUNE 6, 2025

For input streams receiving data through networks such as Kafka , Flume, and others, the default persistence level setting is configured to achieve data replication on two nodes to achieve fault tolerance. Spark can integrate with Apache Cassandra to process data stored in this NoSQL database.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

Based on scalability, performance, and data structure, data is stored in suitable storage systems, such as relational databases, NoSQL databases, or data lakes. Apache Kafka: Apache Kafka is a distributed streaming platform designed for building real-time data pipelines. It offers high throughput and fault tolerance.

Data Science 40

Data Science Building AWS Data Lake 40

ProjectPro

JUNE 6, 2025

Amazon DynamoDB Amazon DynamoDB is a fully managed NoSQL database service that provides a flexible and highly available platform for developers to build applications that require seamless and predictable performance at any scale. Requires careful schema design for optimal performance. Scaling can be complex and may require expertise.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

This layer should support both SQL and NoSQL queries. Kafka streams, consisting of 500,000 events per second, get ingested into Upsolver and stored in AWS S3. It has to be built to support queries that can work with real-time, interactive and batch-formatted data. Even Excel sheets may be used for data analysis.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

Tools/Tech stack used: The tools and technologies used for such data pipeline management using Apache Spark are NoSQL, API, ETL, and Python. It is also very easy to test and troubleshoot with Spark at each step.

Hadoop 40

Hadoop Project Big Data Scala 40

ProjectPro

JUNE 6, 2025

and is accessed by data engineers with the help of NoSQL database management systems. There are many real-time data processing frameworks available, but the popular choices include: Apache Kafka: Kafka is a distributed streaming platform which can handle large-scale data streams in real-time.

Data Engineering 49

Data Engineering Data Engineer Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

You must have good knowledge of the SQL and NoSQL database systems. NoSQL databases are also gaining popularity owing to the additional capabilities offered by such databases. Hadoop , Kafka , and Spark are the most popular big data tools used in the industry today.

Big Data 40

Big Data Data Engineering Data Engineer Engineering 40

ProjectPro

JUNE 6, 2025

How small file problems in streaming can be resolved using a NoSQL database. Tools/Tech stack used: The tools and technologies used for such weblog trend analysis using Apache Hadoop are NoSql, MapReduce, and Hive. You will be introduced to exciting Big Data Tools like AWS, Kafka, NiFi , HDFS, PySpark, and Tableau.

Hadoop 40

Hadoop Project Big Data Datasets 40

ProjectPro

JUNE 6, 2025

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. Table Storage in Microsoft Azure holds structured NoSQL data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

It is a cloud-based NoSQL database that deals mainly with modern app development. Azure Table Storage- Azure Tables is a NoSQL database for storing structured data without a schema. It lets you store organized NoSQL data in the cloud and provides a schemaless key/attribute storage. What is Azure CosmosDB?

BI 63

BI Cloud Computing SQL Database 63

ProjectPro

JUNE 6, 2025

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

JUNE 6, 2025

Recommended Reading: Top 50 NLP Interview Questions and Answers 100 Kafka Interview Questions and Answers 20 Linear Regression Interview Questions and Answers 50 Cloud Computing Interview Questions and Answers HBase vs Cassandra-The Battle of the Best NoSQL Databases 3) Name few other popular column oriented databases like HBase.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

ProjectPro

JUNE 6, 2025

They get used in NoSQL databases like Redis, MongoDB , data warehousing. Use cases for EBS are Software development and testing, NoSQL databases, organization-wide application. These instances use their local storage to store data. Storage optimised instances provide low latency and high-speed random I/O operations.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

World needs better Data Scientists Big data is making waves in the market for quite some time, there are several big data companies that have invested in Hadoop , NoSQL and data warehouses for collecting and storing big data.With open source tools like Apache Hadoop, there are organizations that have invested in millions for storing big data.

Hadoop 40

Hadoop R (Programming) Big Data NoSQL 40

ProjectPro

JUNE 6, 2025

Only the current block being written will not be visible by the readers. We are aware about a complete process on how to decommission a datanode and there are loads of material available on internet to do so but what about the task tracker running a MapReduce job on a datanode which is likely to be decommissioned.

Hadoop 40

Hadoop Big Data NoSQL Utilities 40

ProjectPro

JUNE 6, 2025

Highlight the Big Data Analytics Tools and Technologies You Know The world of analytics and data science is purely skills-based and there are ample skills and technologies like Hadoop, Spark, NoSQL, Python, R, Tableau, etc. that you need to learn to pursue a lucrative career in the industry.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. MQTT Proxy + Apache Kafka (no MQTT broker). On the other hand, Apache Kafka may deal with high-velocity data ingestion but not M2M.

Kafka 98

Kafka Google Cloud NoSQL Entertainment 98

ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. Table of Contents HBase vs. Cassandra - What’s the Difference?

NoSQL 52

NoSQL Database Hadoop Big Data 52

Data Engineering Podcast

FEBRUARY 11, 2018

Links Timescale PostGreSQL Citus Timescale Design Blog Post MIT NYU Stanford SDN Princeton Machine Data Timeseries Data List of Timeseries Databases NoSQL Online Transaction Processing (OLTP) Object Relational Mapper (ORM) Grafana Tableau Kafka When Boring Is Awesome PostGreSQL RDS Google Cloud SQL Azure DB Docker Continuous Aggregates Streaming Replication (..)

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. This is when CloudBank selected Apache Kafka as technology enabler for their needs. The first release of Genesis was based on Apache Kafka 2.0 Journey from mainframe to cloud.

Cloud 89

Cloud Banking Kafka NoSQL 89

Precisely

DECEMBER 28, 2023

One very popular platform is Apache Kafka , a powerful open-source tool used by thousands of companies. But in all likelihood, Kafka doesn’t natively connect with the applications that contain your data. In a nutshell, CDC software mines the information stored in database logs and sends it to a streaming event handler like Kafka.

Data Pipeline 91

Data Pipeline Building Kafka NoSQL 91

Knowledge Hut

APRIL 25, 2024

NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. Big data technologies can be categorized into four broad categories: batch processing, streaming, NoSQL databases, and data warehouses.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Rockset

JULY 28, 2022

MongoDB has grown from a basic JSON key-value store to one of the most popular NoSQL database solutions in use today. Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka. The Rockset solution requires neither Kafka nor Debezium.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Confluent

MAY 21, 2019

The profile service will publish the changes in profiles, including address changes to an Apache Kafka ® topic, and the quote service will subscribe to the updates from the profile changes topic, calculate a new quote if needed and publish the new quota to a Kafka topic so other services can subscribe to the updated quote event.

Kafka 110

Kafka Insurance Architecture Database 110

Hevo

AUGUST 27, 2024

Over the past few years, MongoDB has become a popular choice for NoSQL Databases. With the rise of modern data tools, real-time data processing is no longer a dream. The ability to react and process data has become critical for many systems.

MongoDB 52

MongoDB NoSQL Kafka Data 52

Cloudera

OCTOBER 13, 2020

Data Hub – has expanded to support all stages of the data lifecycle: Collect – Flow Management (Apache NiFi), Streams Management (Apache Kafka) and Streaming Analytics (Apache Flink). CDP Operational Database (2) – an autonomous, multimodal, autoscaling database environment supporting both NoSQL and SQL.

Cloud 97

Cloud Data Warehouse Machine Learning AWS 97

Data Engineering Podcast

JULY 16, 2021

__init__ Episode Kubernetes Operator Scala Kafka Abstract Syntax Tree Language Server Protocol Amazon Deequ dbt Tecton Podcast Episode Informatica The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast

High Quality Data 100

High Quality Data Data Engineering Data Engineer Coding 100

AltexSoft

MAY 14, 2021

NoSQL databases. NoSQL databases, also known as non-relational or non-tabular databases, use a range of data models for data to be accessed and managed. The “NoSQL” part here stands for “Non-SQL” and “Not Only SQL”. Cassandra is an open-source NoSQL database developed by Apache. Apache Kafka.

Big Data 78

Big Data Data Analytics IT NoSQL 78

AltexSoft

JUNE 7, 2021

Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Alternatively, you can opt for Apache Cassandra — one more noSQL database in the family. Just for reference, Spark Streaming and Kafka combo is used by. Some components of the Hadoop ecosystem.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

DECEMBER 26, 2023

Kafka Kafka is an open-source processing software platform. The applications developed by Kafka can help a data engineer discover and apply trends and react to user needs. You can refer to the following links to learn about Kafka: Apache Kafka Training by KnowledgeHut 6.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98