Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Intellipaat Big Data Hadoop Certification Introduction : This Big Data training course helps you master big data and Hadoop skills like MapReduce, Hive, Sqoop, etc.

Big Data 52

Big Data Certification Hadoop Kafka 52

Knowledge Hut

NOVEMBER 28, 2023

Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams. Kafka, which is written in Scala and Java, helps you scale your performance in today’s data-driven and disruptive enterprises.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Ascend.io

SEPTEMBER 14, 2023

Be it PostgreSQL, MySQL, MongoDB, or Cassandra, Python ensures seamless interactions. For those venturing into data lakes and distributed storage, tools like Hadoop’s Pydoop and PyArrow for Parquet ensure that Python isn’t left behind. Use Case: Storing data with PostgreSQL (example) import psycopg2 conn = psycopg2.connect(dbname="mydb",

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

Big Data Tools

FEBRUARY 9, 2022

Ambari is dead — This came as quite a shock to me, and it looks like free distributions of Hadoop do not exist anymore. It is almost impossible to set up a production-grade Hadoop without managers like Ambari. Kafka: Add range and scan query over kv-store in IQv2 — The name of this KIP speaks for itself.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

Big Data Tools

FEBRUARY 9, 2022

Ambari is dead — This came as quite a shock to me, and it looks like free distributions of Hadoop do not exist anymore. It is almost impossible to set up a production-grade Hadoop without managers like Ambari. Kafka: Add range and scan query over kv-store in IQv2 — The name of this KIP speaks for itself.

Data Engineer 52

Data Engineer Data Engineering 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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Data Engineering Podcast

DECEMBER 16, 2019

What are the benefits of using PostgreSQL as the system of record for Marquez? What are the benefits of using PostgreSQL as the system of record for Marquez? Can you explain how Marquez is architected and how the design has evolved since you first began working on it? How is the metadata itself stored and managed in Marquez?

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

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 PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases. rc0 to the release of 3.0.0.

Data Engineer 52

Data Engineer Data Engineering 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 PostgreSQL 14 – Sometimes I forget, but traditional relational databases play a big role in the lives of data engineers. And of course, PostgreSQL is one of the most popular databases. rc0 to the release of 3.0.0.

Data Engineer 52

Data Engineer Data Engineering Engineering Big Data Tools 52

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

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

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. The company runs 4 data centers: in the US and Europe, with two in Asia.

Cloud 197

Cloud Database Utilities BI 197

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

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

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 Engineer 52

Data Engineer Data Engineering Engineering AWS 52

AltexSoft

SEPTEMBER 21, 2023

This remarkable efficiency is a game-changer compared to traditional batch processing engines like Hadoop , enabling real-time analytics and insights. For instance, in real-world applications with more than 2 billion documents indexed, retrieval speeds have been reported to remain consistently under one second.

Engineering 52

Engineering NoSQL Programming Language Java 52

Dataquest

OCTOBER 16, 2019

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.

Data Engineer 52

Data Engineer Data Engineering Engineering Software Engineer 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 Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

DECEMBER 10, 2021

Azure Backup is a cloud-based solution offered by Microsoft that allows you to backup Azure Windows VMs, Azure Managed Disks, Azure File shares, SQL Server databases, SAP HANA databases, Azure PostgreSQL databases, etc. Azure HDInsight is a Hadoop feature distribution on the cloud. What do you mean by Azure HDInsight?

BI 52

BI Cloud Computing SQL Database 52

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 ? Usually used on the server side of the hadoop cluster.

Hadoop 40

Hadoop Metadata SQL Database 40