Data Engineering Weekly

FEBRUARY 12, 2023

Historical data processing is a rare event, where 99% of the computing happens over the last 24 hours of data. link] Mixpanel: Tracking events at millisecond granularity My first reaction while reading “Historically, Mixpanel used to track events at second-level granularity.”, ”, Wait, what?

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52

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. These patterns can be used to start workflows, trigger events, or create alerts, as well as to feed data into reporting tools or store altered data for later use.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

AltexSoft

NOVEMBER 7, 2022

However, the platform is compatible with solutions supporting near real-time and real-time analytics — such as Apache Kafka or Apache Spark. For production purposes, choose from PostgreSQL 10+, MySQL 8+, and MsSQL. The Good and the Bad of Hadoop Big Data Framework. The Good and the Bad of Apache Kafka Streaming Platform.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

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. That is because relational databases are a rich source of events. The existing data in a database, and any changes to that data, can be streamed into a Kafka topic. Setting the Kafka message key.

Kafka 86

Kafka MySQL Bytes Java 86

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

Confluent

OCTOBER 16, 2019

Trains are an excellent source of streaming data—their movements around the network are an unbounded series of events. Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. Resolving codes in events to their full values.

Kafka 19

Kafka Building Data Coding 19

AltexSoft

SEPTEMBER 21, 2023

Analysis of logs, metrics, and security events. With Elasticsearch, you can aggregate and analyze large streams of logs, metrics, and security events in near real-time, making it indispensable for system monitoring and security information and event management (SIEM). Real-time behavior modeling with ML.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

JULY 27, 2021

E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server. Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Briefly define COSHH.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

DECEMBER 10, 2021

The Azure Functions is a serverless code computation service that allows you to run code without a server on demand, such as Events and External-Invoke. GRS is more expensive than LRS, but it provides greater data resilience, even in the event of a local disruption. Azure HDInsight is a Hadoop feature distribution on the cloud.

BI 52

BI Cloud Computing SQL Database 52