Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Confluent

MARCH 13, 2019

Kafka Connect is part of Apache Kafka ® and is a powerful framework for building streaming pipelines between Kafka and other technologies. Since Apache Kafka 2.0, This is the default behavior of Kafka Connect, and it can be set explicitly with the following: errors.tolerance = none. jq -c -M '[.name,tasks[].state]'

Kafka 111

Kafka Bytes Metadata NoSQL 111

ProjectPro

SEPTEMBER 26, 2021

Becoming a Big Data Engineer - The Next Steps Big Data Engineer - The Market Demand An organization’s data science capabilities require data warehousing and mining, modeling, data infrastructure, and metadata management. Industries generate 2,000,000,000,000,000,000 bytes of data across the globe in a single day.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 6, 2016

Recommended Reading: Top 50 NLP Interview Questions and Answers 100 Kafka Interview Questions and Answers 20 Linear Regression Interview Questions and Answers 50 Cloud Computing Interview Questions and Answers HBase vs Cassandra-The Battle of the Best NoSQL Databases 3) Name few other popular column oriented databases like HBase.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40

ProjectPro

AUGUST 21, 2015

ii) Data Storage – The subsequent step after ingesting data is to store it either in HDFS or NoSQL database like HBase. Avro files store metadata with data and also let you specify independent schema for reading the files. There is a pool of metadata which is shared by all the NameNodes.

Hadoop 40

Hadoop Big Data Metadata Java 40