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Database Refactoring Patterns with Pramod Sadalage - Episode 22

Data Engineering Podcast

Links Database Refactoring Website Book Thoughtworks Martin Fowler Agile Software Development XP (Extreme Programming) Continuous Integration The Book Wikipedia Test First Development DDL (Data Definition Language) DML (Data Modification Language) DevOps Flyway Liquibase DBMaintain Hibernate SQLAlchemy ORM (Object Relational Mapper) ODM (Object Document (..)

Database 100
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Data Scientist vs Data Engineer: Differences and Why You Need Both

AltexSoft

It’s a common conundrum, what you definitely don’t want to have is more scientists than engineers, because that would mean the former are doing the engineering work. Data engineers are well-versed in Java, Scala, and C++, since these languages are often used in data architecture frameworks such as Hadoop, Apache Spark, and Kafka.

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What career path should I take to become a Hadoop Developer?

ProjectPro

. “Hadoop developer careers-Analysis”- 67% of Hadoop Developers are from Java programming background. “Hadoop developer careers -Inference”- Hadoop is written in Java but that does not imply people need to have in-depth knowledge of advanced Java. 5) 28% of Hadoopers possess NoSQL database skills.

Hadoop 52
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SQL and Complex Queries Are Needed for Real-Time Analytics

Rockset

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. That changed when NoSQL databases such as key-value and document stores came on the scene. While taking the NoSQL road is possible, it’s cumbersome and slow. As a result, the use cases remained firmly in batch mode.

SQL 52
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How to Become a Data Engineer in 2024?

Knowledge Hut

This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. They achieve this through a programming language such as Java or C++. It is considered the most commonly used and most efficient coding language for a Data engineer and Java, Perl, or C/ C++.

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Though Kafka is not the only option available in the market, it definitely stands out from other brokers and deserves special attention. In former times, Kafka worked with Java only.

Kafka 93
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Schemas, Contracts, and Compatibility

Confluent

There are databases, document stores, data files, NoSQL and ETL processes involved. Note that the same definitions of fields and types that once defined the REST API are now part of the event schema. Java library for fetching and caching schemas. Real-world architectures involve more than just microservices.

Kafka 110