Rockset

MARCH 10, 2022

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. because they allow for mutability: Any field stored in these transactional databases is updatable.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

Cloudera

SEPTEMBER 30, 2021

PostgreSQL 10, 11 and 12 and OracleDB 12c, 19c and 19.9. Add Kafka Service – Required for Atlas if it’s not already installed. If you are running older versions of operating systems, these will also need to be upgraded prior to the cluster upgrade commencing. Step 4b: Upgrading the RDBMS. CDP supports MariaDB 10.2-10.4,

Cloud 69

Cloud PostgreSQL Metadata MySQL 69

Silectis

JANUARY 3, 2021

Kafka Apache Kafka is the Apache Foundation’s open-source software platform for streaming. MySQL An open-source relational databse management system with a client-server model. PostgreSQL A free, open-source relational database management system, also known as Postgres.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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. Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards.

Big Data 52

Big Data Certification Hadoop Scala 52

Rockset

OCTOBER 20, 2021

For instance, let’s say you have streaming data coming in from Kafka or Kinesis. PostgreSQL or MySQL). For high velocity data, most commonly coming from data streams, you can roll it up at write-time. Collections can also be created from other data sources including data lakes (e.g. S3 or GCS), NoSQL databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

Rockset

APRIL 15, 2021

Rockset replicates the data in real-time from your primary database, including both the initial full-copy data replication into Rockset and staying in sync by continuously reading your MySQL or PostgreSQL change streams.

PostgreSQL 40

PostgreSQL MySQL Relational Database NoSQL 40

Databand.ai

DECEMBER 13, 2022

Follow Zach on LinkedIn 8) Shashank Mishra Data Engineer III at Expedia Group Shashank is a data engineer with over six years of experience working in service and product companies, having solved data mysteries across aviation, pharmaceutical, fintech, and telecom companies and designed scalable and optimized data pipelines to handle petabytes of data (..)

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

AUGUST 10, 2022

Cloudera Stream Processing (CSP), powered by Apache Flink and Apache Kafka, provides a complete stream management and stateful processing solution. In CSP, Kafka serves as the storage streaming substrate, and Flink as the core in-stream processing engine that supports SQL and REST interfaces. Apache Kafka and SMM.

Process 85

Process Kafka PostgreSQL MySQL 85

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

Netflix Tech

DECEMBER 17, 2019

CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional techniques like dual-writes and distributed transactions [3][4]. For example in PostgreSQL RDS, changes can only be captured from the master.

MySQL 84

MySQL PostgreSQL Database Transportation 84

Netflix Tech

DECEMBER 17, 2019

CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional techniques like dual-writes and distributed transactions [3][4]. For example in PostgreSQL RDS, changes can only be captured from the master.

MySQL 79

MySQL PostgreSQL Database Transportation 79

Cloudera

MARCH 15, 2023

This external consumer can be an asynchronous process that scans the “outbox” table or the database logs for new entries, and sends the message to an event bus, such as Apache Kafka. When defining a schema for our database table, it is important to think about what fields are needed to process and route the messages to Kafka.

PostgreSQL 87

PostgreSQL Kafka Database Data 87

Rockset

MARCH 26, 2023

Folks have definitely tried, and while Apache Kafka® has become the standard for event-driven architectures, it still struggles to replace your everyday PostgreSQL database instance in the modern application stack. PostgreSQL, MySQL, SQL Server, and even Oracle are popular choices, but there are many others that will work fine.

Cloud 52

Cloud PostgreSQL Kafka Database 52

LinkedIn Engineering

MAY 11, 2023

There was reliance on an unmanaged data layer.Redis (for caching) and PostgreSQL (as primary datastore)served as single points of failure for this product. Managing data replication for data in PostgreSQL could have been more robust. We decided to leverage Kafka as a distributed messaging queue.

Management 101

Management PostgreSQL MySQL Kafka 101

Confluent

JUNE 18, 2019

Disclaimer: There are nice projects around like PostgreSQL full-text search that might be enough for your use case, and you should certainly consider them. Distributed transactions are very hard to implement successfully, which is why we’ll introduce a log-inspired system such as Apache Kafka ®.

Architecture 96

Architecture Building Kafka Database-centric 96

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. Logstash offers a JDBC input plugin that polls a relational database, like PostgreSQL or MySQL, for inserts and updates periodically.

Data Ingestion 52

Data Ingestion Kafka Relational Database 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 Apache Kafka Streaming Platform. It serves as the source of truth for the scheduler.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Rockset

JANUARY 28, 2022

Rockset works well with a wide variety of data sources, including streams from databases and data lakes including MongoDB , PostgreSQL , Apache Kafka , Amazon S3 , GCS (Google Cloud Service) , MySQL , and of course DynamoDB. Results, even for complex queries, would be returned in milliseconds.

NoSQL 52

NoSQL PostgreSQL MongoDB ETL Tools 52

Cloudera

APRIL 15, 2021

Added support for standalone NiFi/Kafka clusters. Support for complex x-row/x-table distributed transactions that runs TPC-C benchmarks alongside support for ANSI SQL makes it easy to migrate from MySQL databases to Operational Database. Automatic Dynamic Queue support for parent and child queues. Object Store. With Phoenix 5.1,

Cloud 66

Cloud MySQL PostgreSQL SQL 66

Rockset

NOVEMBER 28, 2022

It works with existing streaming systems like Apache Kafka, Amazon Kinesis, and Azure Events Hubs, making it easier than ever to build a real-time data pipeline. This method offers a few enormous advantages over batch updates. First, CDC theoretically allows companies to analyze and react to data in real time, as it’s generated.

Data Warehouse 52

Data Warehouse PostgreSQL MongoDB Data Pipeline 52

Rockset

SEPTEMBER 13, 2022

It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. Most relational databases, like PostgreSQL and MySQL, are row-based databases. In thinking about data layout, we'll contrast two approaches: row-based vs. column-based.

SQL 52

SQL Database Relational Database AWS 52

ProjectPro

APRIL 26, 2016

Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers 10) When executing Hive queries in different directories, why is metastore_db created in all places from where Hive is launched? It is suggested to use standalone real database like PostGreSQL and MySQL.

Hadoop 40

Hadoop Metadata SQL Database 40

ProjectPro

AUGUST 21, 2015

Structured data: Schema-based data, Datastore in SQL, Postgresql databases etc Semi-structured data : Json objects , json arrays, csv , txt ,xlsx files,web logs ,tweets etc Unstructured data : Audio, Video files, etc FREE eBook on 250 Hadoop Interview Questions and Answers 6. Facebook updates, tweets on Twitter, Reviews, weblogs, etc.

Hadoop 40

Hadoop Big Data Metadata Unstructured Data 40

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? E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Hadoop is highly scalable.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Hevo

MAY 23, 2023

Debezium uses connectors like PostgreSQL, SQL, MySQL, Oracle, MongoDB, and more for respective databases to stream such changes. Debezium is an open-source, distributed system that can convert real-time changes of existing databases into event streams so that various applications can consume and respond immediately.

PostgreSQL 52

PostgreSQL MongoDB MySQL SQL 52

Striim

FEBRUARY 14, 2023

If you’d like to join our first cohort of Striim Developers, you can sign up here. If you’d like to get an overview from a data streaming expert first, request a demo here.

PostgreSQL 52

PostgreSQL MongoDB MySQL Kafka 52