Remove Bytes Remove Coding Remove Relational Database
article thumbnail

Deploying Kafka Streams and KSQL with Gradle – Part 2: Managing KSQL Implementations

Confluent

We’ll demonstrate using Gradle to execute and test our KSQL streaming code, as well as building and deploying our KSQL applications in a continuous fashion. In this way, registration queries are more like regular data definition language (DDL) statements in traditional relational databases. Managing KSQL dependencies.

Kafka 96
article thumbnail

The Rise of Unstructured Data

Cloudera

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Seagate Technology forecasts that enterprise data will double from approximately 1 to 2 Petabytes (one Petabyte is 10^15 bytes) between 2020 and 2022.

article thumbnail

Why are database columns 191 characters?

Grouparoo

In this post, we’ll look at the historical reasons for the 191 character limit as a default in most relational databases. The first question you might ask is why limit the length of the strings you can store in a database at all? 4 bytes were needed to store each character. Why varchar and not text ?

article thumbnail

Reflections on Event Streaming as Confluent Turns Five – Part 2

Confluent

When I was a younger developer (well, when I was a younger developer, I was writing firmware on small microcontrollers whose “database” consisted of 200 bytes of RAM, but stick with me here)—relational databases had only recently become mature and stable data infrastructure platforms. I hope to see you there.

Kafka 14
article thumbnail

5 Reasons why Java professionals should learn Hadoop

ProjectPro

Traditionally relational databases have proved ineffective in handling and processing the large and complex data generated by organizations across the globe. Setting up a cluster, importing data from relational database using Sqoop, ETL/data cleaning using Hive, and run SQL queries on the data.

Java 52
article thumbnail

97 things every data engineer should know

Grouparoo

39 How to Prevent a Data Mutiny Key trends: modular architecture, declarative configuration, automated systems 40 Know the Value per Byte of Your Data Check if you are actually using your data 41 Know Your Latencies key questions: how old is data? We handle the "_deleted" table approach already. What does that do? Increase visibility.

article thumbnail

Mastering Healthcare Data Pipelines: A Comprehensive Guide from Biome Analytics

Ascend.io

With more than eight years of experience in diverse industries, Sarwat has spent the last four building over 20 data pipelines in both Python and PySpark with hundreds of lines of code. The entirety of the code resided in one colossal repository, a monolith without a solid structure to ensure bug-free production code.