Precisely

JANUARY 9, 2025

And the more sources of data continued to expand, moving beyond mainframes and relational databases to semi-structured and unstructured data sources spanning social feeds, device data, and many other varieties, made it impossible to manage in the same old data warehouse architectures.

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

KDnuggets

SEPTEMBER 16, 2022

Get up to speed on SQL and relational databases with this free video course.

SQL 144

SQL Database Relational Database 144

Snowflake

APRIL 2, 2025

Heres how data teams can benefit from grounding their open lakehouse architectures on Iceberg tables: Higher developer productivity: Iceberg lets developers and data engineers work as if they are using a standard relational database such as Postgres but can scale up to petabytes of data.

Data Lake 95

Data Lake Cloud Storage Metadata Data Warehouse 95

KDnuggets

SEPTEMBER 8, 2023

Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.

Database 136

Database Data Science NoSQL Relational Database 136

Confluent

FEBRUARY 16, 2021

One of the most common relational database systems that connects to Apache Kafka® is Oracle, which often holds highly critical enterprise transaction workloads. While Oracle Database (DB) excels at many […].

Relational Database 128

Relational Database Kafka Database Systems 128

Start Data Engineering

JULY 18, 2020

RDS AWS RDS is a managed service provided by AWS to run a relational database. Go to Services -> RDS Click on Create Database, In the Create Database prompt, choose Standard Create option with PostgreSQL as engine type. We will see how to setup a postgres instance using AWS RDS. Log in to your AWS account.

PostgreSQL 130

PostgreSQL AWS Relational Database Database 130

Confluent

NOVEMBER 2, 2021

What will the next important category of databases look like? For decades, relational databases were the undisputed home of data. They powered everything: from websites to analytics, from customer data […].

Database 121

Database Systems Relational Database Data 121

Hevo

MARCH 9, 2025

Relational databases like Postgres have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern solutions like Apache Iceberg are becoming essential.

Relational Database 52

Relational Database Architecture Data Database 52

Confluent

FEBRUARY 23, 2023

How to use Kafka Streams to aggregate change data capture (CDC) messages from a relational database into transactional messages, powering a scalable microservices architecture.

Kafka 110

Kafka Relational Database Architecture Database 110

Confluent

AUGUST 20, 2019

Traditional relational database systems are ubiquitous in software systems. They are surrounded by a strong ecosystem of tools, such as object-relational mappers and schema migration helpers. A tomicity in relational databases ensures that a transaction either succeeds or fails as a whole.

Kafka 22

Kafka Systems Building Relational Database 22

Hevo

DECEMBER 20, 2024

PostgreSQL is one of the most popular open-source choices for relational databases. It is loved by engineers for its powerful features, flexibility, efficient data retrieval mechanism, and on top of all its overall performance. However, performance issues can be encountered with the growth in the size of data and complexity of queries.

PostgreSQL 40

PostgreSQL Coding Relational Database Database 40

Team Data Science

JANUARY 8, 2021

Data engineering function involve the fundamental understanding of data utilization skills such as coding, python, SQL database, relational database, AWS in the field of big data. It would even be an additional benefit for them to have expertise in computer networking as well.

Data Engineering 130

Data Engineering Data Engineer Engineering Unstructured Data 130

Striim

MARCH 21, 2025

Business transactions captured in relational databases are critical to understanding the state of business operations. To avoid disruptions to operational databases, companies typically replicate data to data warehouses for analysis.

IT 52

IT Data Lake Data Warehouse Relational Database 52

Hevo

MAY 9, 2023

A popular open-source relational database used by several organizations across the world is PostgreSQL. It is a perfect database management system that also assists developers to build applications, and administrators to protect data integrity and develop fault-tolerant environments. […]

PostgreSQL 97

PostgreSQL Relational Database Database Data Integration 97

Snowflake

NOVEMBER 11, 2024

SnowConvert is an easy-to-use code conversion tool that accelerates legacy relational database management system (RDBMS) migrations to Snowflake. In addition to free assessments and free table conversions, SnowConvert now supports accurate conversion of database views from Teradata, Oracle or SQL Server for free.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Hevo

MARCH 9, 2025

Relational databases like Oracle have been the backbone of enterprise data management for years. However, as data volumes grow and the need for flexibility, scalability, and advanced analytics increases, modern solutions like Apache Iceberg are becoming essential.

Relational Database 40

Relational Database Architecture Data Database 40

U-Next

MARCH 8, 2023

For more than 40 years, relational databases have been managed and modified using the programming language SQL (Structured Query Language). Relational database expertise: Learning SQL requires a solid grasp of relational databases and how they operate.

SQL 97

SQL Relational Database Database Data Analysis 97

Towards Data Science

JANUARY 16, 2024

Evolution of the data landscape 1980s — Inception Relational databases came into existence. Organizations began to use relational databases for ‘everything’. Databases were overwhelmed with transactional and analytical workloads. So here goes my overly-simplified take. Result: Data warehouse was born.

Data Warehouse 95

Data Warehouse Data Architecture Relational Database NoSQL 95

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. Data warehouses are databases that integrate transaction data from disparate sources and make them available for analysis. What are some examples of non-relational databases?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Snowflake

NOVEMBER 27, 2023

Snowflake’s relational database, especially when paired with Snowpark , enables much quicker use of data for ML model training and testing. How does Snowflake help you push the envelope in your line of business? Hum’s fast data store is built on Elasticsearch.

Raw Data 124

Raw Data Relational Database Consulting Architecture 124

Hevo

DECEMBER 26, 2023

PostgreSQL is an open-source Relational Database taking the world by storm, both on the ground and up there in the Cloud. It is one of the most advanced Relational Databases out there offering standard SQL features along with some modern ones like triggers, transaction integrity, etc.

PostgreSQL 52

PostgreSQL Relational Database Database SQL 52

Hevo

DECEMBER 18, 2023

PostgreSQL is an open-source Relational Database taking the world by storm, both on the ground and up there in the Cloud. It is one of the most advanced Relational Databases offering standard SQL features along with some modern ones like triggers, transaction integrity, etc.

PostgreSQL 52

PostgreSQL Relational Database Database SQL 52

Monte Carlo

NOVEMBER 14, 2024

But there’s more: announcing our Microsoft Fabric Integration Microsoft is one of the world’s largest providers of relational database solutions, many of which are central components within the modern data stack.

Relational Database 52

Relational Database SQL Metadata Data Validation 52

Cloudera

OCTOBER 12, 2021

We are adding support for Change Data Capture streams from relational databases based on a community project that wraps Flink as a runtime around logic imported from Debezium. This approach does not require changes to the replicated database tables, instead it hooks into the replication stream of the database.

Java 115

Java SQL Relational Database Database 115

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. Another available schema — DataFrames — is used to organize information in the named columns, similar to tables in relational databases. Complex programming environment.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

DECEMBER 27, 2023

SQL The computer language SQL, or Structured Query Language, is used to store, manipulate, and retrieve data from relational databases. The preferred language for Relational Database Systems is SQL.

Software Engineer 98

Software Engineer Software Engineering Engineering Programming Language 98

Data Engineering Podcast

FEBRUARY 27, 2022

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription TimescaleDB, from your friends at Timescale, is the leading open-source relational database with support for time-series data. Time-series data is relentless and requires a database like TimescaleDB with speed and petabyte-scale.

Designing 100

Designing Metadata Data Lake Relational Database 100

Team Data Science

FEBRUARY 23, 2021

It was the "Cambrian explosion" of the usage of relational databases, spreadsheets, and slide decks. Explain the link between Digital Transformation and Product Development With this wave of digitalization came the need to build proper information technology teams and promoting digital literacy, mainly in the workplace.

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines.

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Cloudera

OCTOBER 13, 2020

HDP customers only: Which relational database and version is used? How many database objects do you have? On an HDP Cluster, use SmartSense. Gather information that diagnostic tool will not be able to automatically obtain: What is the primary purpose of the cluster? Which external APIs you are using?

Professional Services 114

Professional Services Cloud Relational Database Utilities 114

ThoughtSpot

OCTOBER 27, 2023

Every business that analyzes their operational (or transactional) data needs to build a custom data pipeline involving several batch or streaming jobs to extract transactional data from relational databases , transform it, and load it into the data warehouse.

Building 97

Building MySQL Data Warehouse SQL 97

Data Engineering Weekly

JUNE 10, 2024

Similar to how data modeling techniques emerged during the burst of relation databases, we started to see similar strategies for fine-tuning and prompt templates. On the time will tell us. link] Open AI: Model Spec LLM models are slowly emerging as the intelligent data storage layer.

Data Engineering 103

Data Engineering Data Engineer Engineering Kafka 103

Data Engineering Podcast

APRIL 15, 2019

What are some approaches to modeling data that might be coming from a relational database or some structured flat files? What are some approaches to modeling data that might be coming from a relational database or some structured flat files? The Pilosa data model is fairly unique. The Pilosa data model is fairly unique.

Big Data 100

Big Data Relational Database Database Media 100

Edureka

AUGUST 18, 2024

Using queries to SQL language and back-end nodes that communicate with databases are essential aspects of this, which form the entire impetus. Two types of databases are used in the development process – Relational Databases: MySQL PostgreSQL Microsoft SQL Server Oracle Database Non-Relational Databases: MongoDB Cassandra 12.

Programming Language 98

Programming Language Java Non-relational Database Database 98

Data Engineering Podcast

MARCH 13, 2022

TimescaleDB, from your friends at Timescale, is the leading open-source relational database with support for time-series data. Time-series data is relentless and requires a database like TimescaleDB with speed and petabyte-scale. Time-series data is time stamped so you can measure how a system is changing.

Data Lake 100

Data Lake Relational Database Data Engineering Data Engineer 100

Data Engineering Podcast

MARCH 27, 2022

TimescaleDB, from your friends at Timescale, is the leading open-source relational database with support for time-series data. Time-series data is relentless and requires a database like TimescaleDB with speed and petabyte-scale. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Relational Database 100

Relational Database Database SQL Data Warehouse 100

Knowledge Hut

NOVEMBER 16, 2023

The range of featured services of AWS include: Amazon EC2 – Elastic virtual servers in the cloud Amazon Aurora – High-performance managed relational database Amazon Simple Storage Service (S3) – Scalable Storage in the cloud Amazon DynamoDB – Managed NoSQL database AWS Lambda – Running code without depending on servers Oracle, MariaDB, and SQL Server (..)

AWS 98

AWS Certification IT Amazon Web Services 98