Netflix Tech

DECEMBER 3, 2022

See example below: - template: id: wap type: wap tables: - ${CATALOG}/${DATABASE}/${TABLE} write_jobs: - job: id: write type: Spark spark: script: $S3{./src/sparksql_write.sql} Running code against a production database can be slow, especially with the overhead required for distributed data processing systems like Apache Spark.

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Rock the JVM

JUNE 20, 2022

Discover Slick: The popular Scala library for seamless database interactions

Scala 52

Scala Database 52

Rock the JVM

APRIL 24, 2024

Learn how to use the Skunk library for type-safe, non-blocking PostgreSQL database interactions

Database 52

Database Scala PostgreSQL 52

Rock the JVM

MAY 22, 2023

This article is all about choosing the right Scala course for your journey. How should I get started with Scala? Do you have any tips to learn Scala quickly? How to Learn Scala as a Beginner Scala is not necessarily aimed at first-time programmers. Which course should I take?

Scala 52

Scala Java Programming Language Programming 52

Rock the JVM

JANUARY 22, 2024

Introduction The Typelevel stack is one of the most powerful sets of libraries in the Scala ecosystem. They allow you to write powerful applications with pure functional programming - as of this writing, the Typelevel ecosystem is one of the biggest selling points of Scala. The Typelevel stack is based on Cats and Cats Effect.

Scala 59

Scala SQL Database Coding 59

Christophe Blefari

JUNE 21, 2024

you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with Native CDC for Postgres and MySQL — Snowflake will be able to connect to Postgres and MySQL to natively move data from your databases to the warehouse. Databricks sells a toolbox, you don't buy any UX. 3) Spark 4.0

Metadata 147

Metadata Data Warehouse BI MySQL 147

Monte Carlo

OCTOBER 31, 2024

The foundational skills are similar between traditional data engineers and AI data engineers are similar, with AI data engineers more heavily focused on machine learning data infrastructure, AI-specific tools, vector databases, and LLM pipelines. Let’s dive into the tools necessary to become an AI data engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Advancing Analytics: Data Engineering

APRIL 23, 2020

The thought of learning Scala fills many with fear, its very name often causes feelings of terror. The truth is Scala can be used for many things; from a simple web application to complex ML (Machine Learning). The name Scala stands for “scalable language.” So what companies are actually using Scala?

Scala 52

Scala Big Data Data Engineering Data Engineer 52

Data Engineering Podcast

NOVEMBER 6, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. No more shipping and praying, you can now know exactly what will change in your database!

MongoDB 130

MongoDB MySQL Scala Machine Learning 130

Data Engineering Podcast

NOVEMBER 20, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. No more shipping and praying, you can now know exactly what will change in your database!

Data Lake 130

Data Lake Data Ingestion MongoDB MySQL 130

Cloudera

MARCH 29, 2021

They no longer have to depend on any skilled Java or Scala developers to write special programs to gain access to such data streams. . To execute such real-time queries, the skills are typically in the hands of a select few in the organization who possess unique skills like Scala or Java and can write code to get such insights.

SQL 116

SQL Scala Manufacturing Java 116

Rock the JVM

SEPTEMBER 3, 2023

Play Framework “makes it easy to build web applications with Java & Scala”, as it is stated on their site, and it’s true. In this article we will try to develop a basic skeleton for a REST API using Play and Scala. PlayScala plugin defines default settings for Scala-based applications. import Keys._ getOrElse ( 0L ), carDTO.

Scala 52

Scala Database Project Coding 52

Rock the JVM

JUNE 5, 2023

Http4s is one of the most powerful libraries in the Scala ecosystem, and it’s part of the Typelevel stack. If you want to master the Typelevel Scala libraries with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course. content ) match case Right ( payload ) => IO ( database.

Scala 52

Scala Coding Accessibility Accessible 52

Rock the JVM

JUNE 5, 2023

Http4s is one of the most powerful libraries in the Scala ecosystem, and it’s part of the Typelevel stack. If you want to master the Typelevel Scala libraries with real-life practice, check out the Typelevel Rite of Passage course, a full-stack project-based course. content ) match case Right ( payload ) => IO ( database.

Scala 52

Scala Coding Accessibility Accessible 52

Data Engineering Podcast

JUNE 12, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Unstructured Data 130

Unstructured Data MongoDB MySQL Scala 130

Snowflake

DECEMBER 20, 2023

Within the scope of gen AI, this new Snowpark runtime empowers developers to efficiently and securely deploy containers to do things like the following and more: LLM fine-tuning Open-source vector database deployment Distributed embedding processing Voice to text transcription Why did Snowflake build a container service?

Scala 142

Scala Government Java Cloud 142

Rockset

MARCH 27, 2023

In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks. Differing Paradigms Stream processing systems and real-time analytics (RTA) databases are both exploding in popularity. Let’s start with a quick summary of both stream processing and RTA databases. Stateful Or Not?

Database 52

Database Process Scala SQL 52

Data Engineering Podcast

JUNE 19, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Metadata 130

Metadata MongoDB MySQL Scala 130

ProjectPro

FEBRUARY 8, 2023

This serverless data integration service can automatically and quickly discover structured or unstructured enterprise data when stored in data lakes in Amazon S3, data warehouses in Amazon Redshift, and other databases that are a component of the Amazon Relational Database Service. being data exactly matches the classifier, and 0.0

AWS 98

AWS Scala Metadata Data Lake 98

Data Engineering Podcast

MAY 27, 2018

What are some of the potential pitfalls for automatic schema management in the target database? What are some of the potential pitfalls for automatic schema management in the target database? What are some of the complexities introduced by processing data from multiple customers with various compliance requirements?

Data Pipeline 100

Data Pipeline MongoDB Google Cloud Scala 100

Data Engineering Podcast

AUGUST 21, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

Lambda Architecture 100

Lambda Architecture MongoDB MySQL Scala 100

Data Engineering Podcast

SEPTEMBER 11, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/ascend and sign up for a free trial.

Data Pipeline 130

Data Pipeline Building MongoDB MySQL 130

Cloudera

MARCH 2, 2021

This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. Many times, users are left to push the stream of data into a traditional database, data lake, or data warehouse just to perform these simple computations. A rare breed. SQL as the democratization enabler.

SQL 112

SQL Java Data Lake Scala 112

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. It also supports multiple languages and has APIs for Java, Scala, Python, and R.

Hadoop 96

Hadoop Scala Datasets Java 96

Snowflake

AUGUST 30, 2023

In this blog post, we will delve into six such capabilities – comprehensive cross-cloud replication, zero copy database and schema clone, collation support, stored procedures, multi-table transactions, and transparent online upgrade – that every enterprise must consider while choosing their data platforms.

Scala 105

Scala Government Database Cloud 105

Data Engineering Podcast

OCTOBER 30, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. No more shipping and praying, you can now know exactly what will change in your database!

Engineering 100

Engineering MongoDB MySQL Scala 100

Data Engineering Podcast

NOVEMBER 18, 2018

Contact Info LinkedIn @fhueske on Twitter fhueske on GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Process 100

Process Google Cloud Scala Kafka 100

Cloudera

JULY 18, 2022

In this blog we will explore how we can use Apache Flink to get insights from data at a lightning-fast speed, and we will use Cloudera SQL Stream Builder GUI to easily create streaming jobs using only SQL language (no Java/Scala coding required). The streaming SQL job also saves the fraud detections to the Kudu database. Apache Flink.

Process 91

Process Kafka Scala SQL 91

Data Engineering Podcast

AUGUST 13, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

Metadata 100

Metadata MongoDB MySQL Scala 100

Knowledge Hut

JANUARY 18, 2024

It is a declarative language for interacting with databases and allows you to create queries to extract information from your data sets. SQL in data science helps users collect data from the databases and later edit them if the situation demands it. Keep reading to know more about the data science coding languages.

Programming Language 98

Programming Language Data Science Programming Java 98

Knowledge Hut

MAY 3, 2024

cache, local space) 8 It supports multiple languages such as Java, Scala, R, and Python. RDDs can include any kind of Python, Java, or Scala object, including classes that the user has specified. Kafka stream can be used as part of microservice, as it's just a library. 7 Kafka stores data in Topic i.e., in a buffer memory.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Christophe Blefari

JANUARY 14, 2023

The history repeat, we've seen it with Scala, Go or even Julia at some scale. ByteGraph: A Graph Database for TikTok — ByteGraph is the open-source graph database developed by the company behind TikTok. Enjoy the Data News. In the end Python and SQL are still here for good. But with Rust the approach is different.

Python 130

Python Kafka Data Scala 130

Scott Logic

MARCH 30, 2025

Previous posts have looked at Algebraic Data Types with Java Variance, Phantom and Existential types in Java and Scala Intersection and Union Types with Java and Scala In this post we will combine some ideas from functional programming with strong typing to produce robust expressive code that is more reusable. Priority ( 4 , List.

Scala 40

Scala Java Coding Systems 40

Data Engineering Podcast

JUNE 28, 2021

Your host is Tobias Macey and today I’m interviewing Paul Dix about Influx Data and the different facets of the market for timeseries databases Interview Introduction How did you get involved in the area of data management? This has led to an explosion of database engines and related tools to address these different needs.

Data Analysis 100

Data Analysis Scala Data Warehouse Kafka 100

Data Engineering Podcast

JUNE 5, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. No more shipping and praying, you can now know exactly what will change in your database!

Data Security 100

Data Security Metadata MongoDB MySQL 100

Data Engineering Podcast

JULY 3, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. What if you could mimic your entire production database to create a realistic dataset with zero sensitive data?

Data Integration 100

Data Integration MongoDB MySQL Scala 100

Data Engineering Podcast

NOVEMBER 13, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. No more shipping and praying, you can now know exactly what will change in your database!

MongoDB 100

MongoDB MySQL Google Cloud Scala 100