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

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. 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

MARCH 10, 2022

Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. 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.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

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

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

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

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

Ten years ago, this data cluster was 300GB as a Hadoop cluster; that’s around a 100,000-fold increase in data stored! For transactional databases, it’s mostly the Microsoft SQL Server, but also other databases like PostgreSQL, ScyllaDB and Couchbase. It uses Spark for the data platform.

Cloud 192

Cloud Utilities Database BI 192

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

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

AltexSoft

SEPTEMBER 21, 2023

Just as you have databases and tables in SQL, you have indices and documents in Elasticsearch. This remarkable efficiency is a game-changer compared to traditional batch processing engines like Hadoop , enabling real-time analytics and insights. You would query against these indices when you are searching for specific data.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

JULY 27, 2021

Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language). SQL works on data arranged in a predefined schema. E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

APRIL 26, 2016

Table of Contents Hadoop Hive Interview Questions and Answers Scenario based or Real-Time Interview Questions on Hadoop Hive Other Interview Questions on Hadoop Hive Hadoop Hive Interview Questions and Answers 1) What is the difference between Pig and Hive ? Follows SQL Dialect and is a declarative language.

Hadoop 40

Hadoop Metadata SQL Database 40

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers. Ingesting the data.

Kafka 19

Kafka Building Data Coding 19

ProjectPro

DECEMBER 10, 2021

Distinguish between an Azure SQL Database and a SQL managed instance. Azure SQL Database is a fully managed PaaS database server that keeps track of most database management tasks like data upgradations, patching, data backups, etc., Azure SQL Managed Instance is an efficient, highly scalable database solution by Microsoft.

BI 52

BI Cloud Computing SQL Database 52