Confluent

SEPTEMBER 25, 2019

What’s forgotten is that the rise of this paradigm was driven by a particular type of human-facing application in which a user looks at a UI and initiates actions that are translated into database queries. This may seem far from the domain of a database, but I’ll argue that the common conception of databases is too narrow for what lies ahead.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

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.

Data Science 40

Data Science Building Data Lake AWS 40

ProjectPro

JUNE 6, 2025

This failure of relational database management systems triggered organizations to move their data from RDBMS to Hadoop. Data migration from legacy systems to the cloud is a major use case in organizations that have been into relational databases. 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

SQL and Database Architecture Database architecture expertise is essential for an ETL developer. An ETL developer should be familiar with SQL/NoSQL databases and data mapping to understand data storage requirements and design warehouse layout. Data modeling is nearly impossible without knowledge of SQL.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

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

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

AltexSoft

JUNE 7, 2021

Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Complex programming environment.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

AltexSoft

MAY 14, 2021

This data isn’t just about structured data that resides within relational databases as rows and columns. 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. Apache Kafka.

Big Data 78

Big Data Data Analytics IT NoSQL 78

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

They get used in NoSQL databases like Redis, MongoDB , data warehousing. It backs up storage in a routine fashion without the hassle of Database administrators interfering. RDS (Amazon Relational Database System) is the traditional relational database that provides scalability and cost-effective solutions for storing data.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

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 Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

LinkedIn Engineering

JANUARY 16, 2024

At the heart of this system was a reliance on a relational database, Oracle, which served as the repository for all member restrictions data. Figure 2: Relational database schema We adopted a pragmatic and scalable approach by distributing member restrictions across different Oracle tables.

Kafka 84

Kafka Relational Database Java Architecture 84

ProjectPro

JUNE 6, 2025

The data warehouse layer consists of the relational database management system (RDBMS) that contains the cleaned data and the metadata, which is data about the data. 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.

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

ProjectPro

JUNE 6, 2025

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Metadata 87

Monte Carlo

JANUARY 5, 2024

Snowflake announced Snowpipe for streaming and refactored their Kafka connector, and Google announced Pub/Sub could now be streamed directly into the BigQuery. Increasingly, data warehouses and data lakes are moving toward each other in a general shift toward data lakehouse architecture.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Snowflake announced Snowpipe for streaming and refactored their Kafka connector, and Google announced Pub/Sub could now be streamed directly into the BigQuery. Increasingly, data warehouses and data lakes are moving toward each other in a general shift toward data lakehouse architecture.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Knowledge Hut

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Knowledge Hut

JULY 24, 2023

According to recent studies, the global database market will grow from USD 63.4 SQL is a powerful tool for managing and manipulating relational databases, and it continues to be widely used in the industry today. billion in 2022 to $154.6 billion by 2030, at a CAGR of 11.8%. How is SQL Being Utilized?

Database 52

Database SQL Process NoSQL 52

Rockset

APRIL 15, 2021

Relational databases today are widely known to be suboptimal for supporting high-scale analytical use cases, and are all but certain to run into issues as your production data size and query volume grow. Compute and storage are also separately scaled in Rockset, allowing you to cost-optimize for the desired performance of your choice.

PostgreSQL 40

PostgreSQL MySQL Relational Database NoSQL 40

Grouparoo

OCTOBER 6, 2021

42 Learn to Use a NoSQL Database, but Not like an RDBMS Write answers to questions in NoSQL databases for fast access 43 Let the Robots Enforce the Rules Work with people to standardize and use code to enforce rules 44 Listen to Your Users—but Not Too Much Create a data team vision and strategy. Increase visibility.

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Rockset

MARCH 26, 2023

Breaking Bad… Data Silos We haven’t quite figured out how to avoid using relational databases. 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.

Cloud 52

Cloud PostgreSQL Kafka Relational Database 52

Cloud Academy

JANUARY 27, 2022

Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

NOVEMBER 28, 2023

Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams. Kafka, which is written in Scala and Java, helps you scale your performance in today’s data-driven and disruptive enterprises.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Silectis

JANUARY 3, 2021

Kafka Apache Kafka is the Apache Foundation’s open-source software platform for streaming. MySQL An open-source relational databse management system with a client-server model. PostgreSQL A free, open-source relational database management system, also known as Postgres.

Data Engineer 40

Data Engineer Data Engineering Engineering Non-relational Database 40

AltexSoft

NOVEMBER 10, 2021

A data warehouse (DW) is a centralized repository for data accumulated from an array of corporate sources like CRMs, relational databases , flat files, etc. The data in this case is checked against the pre-defined schema (internal database format) when being uploaded, which is known as the schema-on-write approach.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 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. Microsoft Azure SQL Database The SQL database is Microsoft's premier database offering.

Data Engineer 52

Data Engineer Data Engineering Engineering PostgreSQL 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.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

Rockset

AUGUST 25, 2020

Just like relational databases, NoSQL databases like MongoDB also utilize indexes to speed up queries. Avoiding Application-Level JOINs using Denormalization NoSQL databases like MongoDB are often structured without a schema to make writes convenient, and it’s a key part what also makes them so unique and popular.

MongoDB 40

MongoDB NoSQL SQL Relational Database 40

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. DynamoDB or MongoDB), and relational databases (e.g. For high velocity data, most commonly coming from data streams, you can roll it up at write-time. PostgreSQL or MySQL).

SQL 52

SQL MongoDB PostgreSQL NoSQL 52

ProjectPro

NOVEMBER 15, 2021

You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System. Presto allows you to query data stored in Hive, Cassandra, relational databases, and even bespoke data storage. CMAK is developed to help the Kafka community.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

OCTOBER 8, 2021

ODI has a wide array of connections to integrate with relational database management systems ( RDBMS) , cloud data warehouses, Hadoop, Spark , CRMs, B2B systems, while also supporting flat files, JSON, and XML formats. There are also out-of-the-box connectors for such services as AWS, Azure, Oracle, SAP, Kafka, Hadoop, Hive, and more.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JUNE 6, 2025

Sqoop is compatible with all JDBC compatible databases. Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Apache Sqoop uses Hadoop MapReduce to get data from relational databases and stores it on HDFS. HBase is a NoSQL database, but the data can be dumped into HBase as well.

Hadoop 40

Hadoop MySQL Relational Database Java 40

ProjectPro

JUNE 6, 2025

Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse.

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

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. Database Management : knowing how to work with databases - both relational(like Postgres) and non-relational - is important for efficient storing and retrieval of data.

Big Data 52

Big Data Certification Hadoop Generalist 52

AltexSoft

MARCH 14, 2023

Many components of a modern data stack (such as Apache Airflow, Kafka, Spark, and others) are open-source and free. Databases store key information that powers a company’s product, such as user data and product data. Offered as open-source with active support by communities.

IT 59

IT Data Warehouse Data Governance Data Lake 59

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. Fields in these documents are defined and governed by mappings akin to a schema in a relational database. What is Elasticsearch?

Engineering 52

Engineering NoSQL Java Programming Language 52