Monte Carlo

DECEMBER 4, 2023

So, don’t forget to review your ChatGPT outputs before leverage scripts or pushing any SQL code to production. Extraction ChatGPT ETL prompts can be used to help write scripts to extract data from different sources, including: Databases I have a SQL database with a table named employees.

PostgreSQL 52

PostgreSQL Data Lake ETL Tools MySQL 52

Christophe Blefari

APRIL 28, 2023

At the moment we have a dbt Semantic Layer that correspond to YAML definitions and MetricFlow—which was Transform open-source project—that is able to understand the semantics to generates SQL. or employees (SQL writing or document drafting) ; either by improving actual AI stuff: search, discovery, information extraction.

SQL 100

SQL Food PostgreSQL Data 100

Data Engineering Podcast

APRIL 19, 2020

In this episode Eventador Founder and CEO Kenny Gorman describes how the platform is architected, the challenges inherent to managing reliable streams of data, the simplicity offered by a SQL interface, and the interesting projects that his customers have built on top of it. How does it fit into an application architecture?

Building 100

Building PostgreSQL MongoDB SQL 100

Data Engineering Podcast

FEBRUARY 11, 2018

release of PostGreSQL had on the design of the project? Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? release of PostGreSQL had on the design of the project? Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? What impact has the 10.0 What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Data Engineering Podcast

MAY 20, 2018

Presto is a distributed SQL engine that allows you to tie all of your information together without having to first aggregate it all into a data warehouse. For someone who is using the Presto SQL interface, what are some of the considerations that they should keep in mind to avoid writing poorly performing queries?

PostgreSQL 100

PostgreSQL Hadoop SQL Kafka 100

Data Engineering Podcast

JANUARY 5, 2020

How has the tight coupling with Kafka impacted the direction and capabilities of Debezium? How has the tight coupling with Kafka impacted the direction and capabilities of Debezium? What are some of the other options on the market for handling change data capture? What, if any, other substrates does Debezium support (e.g.

Database 100

Database Kafka PostgreSQL MySQL 100

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 Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Data Engineering Podcast

AUGUST 6, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Ascend.io

SEPTEMBER 14, 2023

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential. Statically typed, requiring type definition upfront.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Data Engineering Podcast

OCTOBER 14, 2019

Dataform is a platform that helps you apply engineering principles to your data transformations and table definitions, including unit testing SQL scripts, defining repeatable pipelines, and adding metadata to your warehouse to improve your team’s communication. What are the limitations of SQL when working in a collaborative environment?

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Towards Data Science

FEBRUARY 9, 2024

This involves getting data from an API and storing it in a PostgreSQL database. Overview Let’s break down the data pipeline process step-by-step: Data Streaming: Initially, data is streamed from the API into a Kafka topic. The data directory contains the last_processed.json file which is crucial for the Kafka streaming task.

Kafka 79

Kafka Data Engineering Data Engineer PostgreSQL 79

Striim

NOVEMBER 30, 2022

Some of the sources Striim supports include: Databases: Oracle, Microsoft SQL Server, MySQL, PostgreSQL, etc. Learn about log-based CDC in detail here. Streaming SQL Standard SQL can only work with bounded data that are stored in a system. Use case: How can an apparel business analyze data with Striim?

AWS 52

AWS Cloud Management MySQL 52

Big Data Tools

OCTOBER 5, 2021

Kafka 3.0.0 – The Apache Software Foundation needed less than one month to go from Kafka version 3.0.0-rc0 This release brings over 400 new features, but my favorites are the array aggregation functions in SQL. And of course, PostgreSQL is one of the most popular databases. rc0 to the release of 3.0.0.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

OCTOBER 5, 2021

Kafka 3.0.0 – The Apache Software Foundation needed less than one month to go from Kafka version 3.0.0-rc0 This release brings over 400 new features, but my favorites are the array aggregation functions in SQL. And of course, PostgreSQL is one of the most popular databases. rc0 to the release of 3.0.0.

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Data Engineering Podcast

OCTOBER 9, 2018

Links MemSQL NewSQL Microsoft SQL Server St. Links MemSQL NewSQL Microsoft SQL Server St. Contact Info @nikitashamgunov on Twitter LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

PostgreSQL 100

PostgreSQL BI Data Warehouse Machine Learning 100

Striim

JANUARY 4, 2023

In their example, they use Docker compose to spin up a test instance of their database, a CDC pipeline (using Debezium), Kafka, and the Confluent Schema Registry. Consider the workflow in this following diagram: You can use Striim to move data from a database (PostgreSQL) to a data warehouse (BigQuery).

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Data Engineering Podcast

DECEMBER 16, 2019

Featuring built in version control integration, real-time error checking for their SQL code, data quality tests, scheduling, and a data catalog with annotation capabilities it’s everything you need to keep your data warehouse in order. What are the benefits of using PostgreSQL as the system of record for Marquez?

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

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

OCTOBER 20, 2021

Using the adapter, you could now load data into Rockset and create collections by writing SQL SELECT statements in dbt. For instance, let’s say you have streaming data coming in from Kafka or Kinesis. PostgreSQL or MySQL). Create a dbt model using SQL statements for each transformation you want to perform on your data.

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

Silectis

JANUARY 3, 2021

Kafka Apache Kafka is the Apache Foundation’s open-source software platform for streaming. PostgreSQL A free, open-source relational database management system, also known as Postgres. Hadoop / HDFS Apache’s open-source software framework for processing big data. HDFS stands for Hadoop Distributed File System.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Rockset

APRIL 29, 2019

There is limited support for SQL analytics with some of these options. At Rockset, we recently added support for creating collections that pull data from Amazon DynamoDB - which basically means you can run fast SQL on DynamoDB tables without any ETL. I also evaluate which use cases each of them are best suited for.

NoSQL 52

NoSQL PostgreSQL AWS SQL 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). He also shares thoughts and advice regularly on LinkedIn, centered around topics like SQL, data engineering, careers, and interviews.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

MARCH 23, 2023

Cloudera SQL Stream Builder (SSB) gives the power of a unified stream processing engine to non-technical users so they can integrate, aggregate, query, and analyze both streaming and batch data sources in a single SQL interface. The key is one of the fields returned by the SSB SQL query, and it is available from the dropdown.

SQL 76

SQL Kafka PostgreSQL Database 76

Dataquest

OCTOBER 16, 2019

Data engineering skills like Python, SQL, and the shell regularly rank among the highest-paying skills in StackOverflow’s developer surveys. Of course, a data engineer doesn’t have to know all of these, but this list illustrates just how much there is to do in the world of data engineering. It’s no surprise as to why.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

Cloudera

AUGUST 10, 2022

Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. In CSP, Kafka serves as the storage streaming substrate, and Flink as the core in-stream processing engine that supports SQL and REST interfaces. Apache Kafka and SMM.

Process 85

Process Kafka PostgreSQL MySQL 85

Edureka

FEBRUARY 9, 2023

Proficiency in programming languages: Knowledge of programming languages such as Python and SQL is essential for Azure Data Engineers. Knowledge of programming languages like Python and SQL Python is commonly used in the field of data engineering for automating data pipelines and performing data analysis.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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

Rockset

APRIL 15, 2021

Rockset replicates the data in real-time from your primary database, including both the initial full-copy data replication into Rockset and staying in sync by continuously reading your MySQL or PostgreSQL change streams.

PostgreSQL 40

PostgreSQL MySQL Relational Database NoSQL 40

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. It offers three distinct environments: SQL for Databricks, Databricks Machine Learning for data engineering, and data science.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

The Pragmatic Engineer

JUNE 13, 2023

For transactional databases, it’s mostly the Microsoft SQL Server, but also other databases like PostgreSQL, ScyllaDB and Couchbase. For transactional work , Agoda mostly uses Microsoft SQL server (MSSQL,) running on physical servers optimized for core performance using low-core count and high clock machines.

Cloud 193

Cloud Utilities Database BI 193

Confluent

JUNE 18, 2019

Who has never seen an application use RDBMS SQL statements to run searches? Using SQL to run your search might be enough for your use case, but as your project requirements grow and more advanced features are needed—for example, enabling synonyms, multilingual search, or even machine learning—your relational database might not be enough.

Architecture 96

Architecture Building Kafka Database-centric 96

Confluent

FEBRUARY 12, 2019

One of the most common integrations that people want to do with Apache Kafka ® is getting data in from a database. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. Here, I’m going to dig into one of the options available—the JDBC connector for Kafka Connect. Introduction.

Kafka 88

Kafka MySQL Bytes Java 88

Data Engineering Weekly

FEBRUARY 12, 2023

It describes how an extended Airflow operator that adopts the Write-Audit-Publish pattern with SQL helps to standardize the data testing strategy. link] Etsy: Adding Zonal Resiliency to Etsy’s Kafka Cluster Cross-region (Zone) comes with its penalty of cost and latency in Kafka infrastructure. ”, Wait, what?

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

Data Engineering Podcast

MAY 27, 2021

By acting as a virtual hub for data assets ranging from tables and dashboards to SQL snippets & code, Atlan enables teams to create a single source of truth for all their data assets, and collaborate across the modern data stack through deep integrations with tools like Snowflake, Slack, Looker and more.

Data Warehouse 100

Data Warehouse Cloud PostgreSQL Kafka 100

Rockset

SEPTEMBER 13, 2022

It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. This is a common practice with SQL databases to avoid SQL injection attacks. Second, the SQL code is intermingled with our application code, and it can be difficult to track over time.

SQL 52

SQL Database Relational Database AWS 52

Netflix Tech

DECEMBER 17, 2019

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. In order to be supported, a database is required to fulfill a set of features that are commonly available in systems like MySQL, PostgreSQL, MariaDB, and others. For example in PostgreSQL RDS, changes can only be captured from the master.

MySQL 84

MySQL PostgreSQL Database Transportation 84