Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

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 Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Rock the JVM

AUGUST 9, 2022

For a more concrete example, we are going to write a program that will parse markdown files, extract words identified as tags, and then regenerate those files with tag-related metadata injected back into them. Logs-As-A-Stream Many messaging platforms, such as Kafka, Pulsar, and/or RabbitMQ have what they advertise as Stream s.

Scala 40

Scala Bytes Kafka Programming 40

DoorDash Engineering

JANUARY 23, 2024

DoorDash’s internal platform team already has built many features which come in handy, like an Asgard-based microservice, which comes with a good set of built-in features like request-metadata, logging, and dynamic-value framework integration. New input formats: Currently, the platform is supporting byte-based input.

Architecture 74

Architecture Metadata Bytes Systems 74

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 Database 40

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

AUGUST 21, 2015

Avro files store metadata with data and also let you specify independent schema for reading the files. If the primary NameNode goes down, the standby will take its place using the most recent metadata that it has. There is a pool of metadata which is shared by all the NameNodes. RowKey is internally regarded as a byte array.

Hadoop 40

Hadoop Big Data Metadata Java 40

Rockset

FEBRUARY 14, 2020

I walk through an end to end integration of requesting data from the car, streaming it into a Kafka Topic and using Rockset to expose the data via its API to create real time visualisations in D3. Getting started with Kafka When starting with any new tool I find it best to look around and see the art of the possible.

Kafka 40

Kafka SQL Metadata Python 40

ProjectPro

NOVEMBER 22, 2021

StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. To define the columns, PySpark offers the pyspark.sql.types import StructField class, which has the column name (String), column type (DataType), nullable column (Boolean), and metadata (MetaData).

Hadoop 52

Hadoop Python Datasets Metadata 52

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 Engineer Data Engineering Engineering 52