Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. This is when CloudBank selected Apache Kafka as technology enabler for their needs. The first release of Genesis was based on Apache Kafka 2.0 Journey from mainframe to cloud.

Cloud 89

Cloud Banking Kafka NoSQL 89

Knowledge Hut

APRIL 25, 2024

NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase. Big data technologies can be categorized into four broad categories: batch processing, streaming, NoSQL databases, and data warehouses.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Confluent

SEPTEMBER 25, 2019

Apache Kafka ® and its uses. The founders of Confluent originally created the open source project Apache Kafka while working at LinkedIn, and over recent years Kafka has become a foundational technology in the movement to event streaming. In retail, companies like Walmart , Target , and Nordstrom have adopted Kafka.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

Rockset

JULY 28, 2022

MongoDB has grown from a basic JSON key-value store to one of the most popular NoSQL database solutions in use today. Options For Change Data Capture on MongoDB Apache Kafka The native CDC architecture for capturing change events in MongoDB uses Apache Kafka. The Rockset solution requires neither Kafka nor Debezium.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Confluent

MAY 21, 2019

The profile service will publish the changes in profiles, including address changes to an Apache Kafka ® topic, and the quote service will subscribe to the updates from the profile changes topic, calculate a new quote if needed and publish the new quota to a Kafka topic so other services can subscribe to the updated quote event.

Kafka 110

Kafka Insurance Architecture Database 110

Confluent

AUGUST 19, 2019

It points to best practices for anyone writing Kafka Connect connectors. In a nutshell, the document states that sources and sinks are verified as Gold if they’re functionally equivalent to Kafka Connect connectors. Over the years, we’ve since seen wide adoption of Kafka Connect.

Programming 15

Programming Kafka Database-centric MongoDB 15

Hevo

AUGUST 27, 2024

Over the past few years, MongoDB has become a popular choice for NoSQL Databases. With the rise of modern data tools, real-time data processing is no longer a dream. The ability to react and process data has become critical for many systems.

MongoDB 52

MongoDB NoSQL Kafka Data 52

Cloudera

OCTOBER 13, 2020

Data Hub – has expanded to support all stages of the data lifecycle: Collect – Flow Management (Apache NiFi), Streams Management (Apache Kafka) and Streaming Analytics (Apache Flink). CDP Operational Database (2) – an autonomous, multimodal, autoscaling database environment supporting both NoSQL and SQL.

Cloud 97

Cloud Data Warehouse Machine Learning AWS 97

AltexSoft

MAY 14, 2021

NoSQL databases. NoSQL databases, also known as non-relational or non-tabular databases, use a range of data models for data to be accessed and managed. The “NoSQL” part here stands for “Non-SQL” and “Not Only SQL”. Cassandra is an open-source NoSQL database developed by Apache. Apache Kafka.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Data Engineering Podcast

JULY 16, 2021

__init__ Episode Kubernetes Operator Scala Kafka Abstract Syntax Tree Language Server Protocol Amazon Deequ dbt Tecton Podcast Episode Informatica The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast

High Quality Data 100

High Quality Data Data Engineering Data Engineer Coding 100

AltexSoft

JUNE 7, 2021

Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Alternatively, you can opt for Apache Cassandra — one more noSQL database in the family. Just for reference, Spark Streaming and Kafka combo is used by. Some components of the Hadoop ecosystem.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

DECEMBER 26, 2023

Kafka Kafka is an open-source processing software platform. The applications developed by Kafka can help a data engineer discover and apply trends and react to user needs. You can refer to the following links to learn about Kafka: Apache Kafka Training by KnowledgeHut 6.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

U-Next

AUGUST 17, 2022

NoSQL – This alternative kind of data storage and processing is gaining popularity. The term “NoSQL” refers to technology that is not dependent on SQL, to put it simply. Kafka – Kafka is an open-source framework for processing that can handle real-time data flows.

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

LinkedIn Engineering

JANUARY 16, 2024

LinkedIn restriction enforcement system (2nd generation) First, we migrated all member restrictions data to Espresso , LinkedIn’s custom-built NoSQL distributed document storage solution. Espresso’s tight integration with LinkedIn’s Brooklin –a near real-time data streaming framework–enabled seamless data streaming through Kafka messages.

Kafka 84

Kafka Relational Database Java Database 84

Rockset

SEPTEMBER 25, 2020

According to over 40,000 developers, MongoDB is the most popular NOSQL database in use right now. This blog post will look at three of them: tailing MongoDB with an oplog, using MongoDB change streams, and using a Kafka connector. Change streams don’t require the use of a pub-sub (publish-subscribe) model like Kafka and RabbitMQ do.

MongoDB 52

MongoDB Kafka Database NoSQL 52

Big Data Tools

AUGUST 3, 2021

Release – The first major release of NoSQL database in five years! Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. 5 Reasons to Choose Pulsar Over Kafka – The author states his bias upfront, which is nice. Cassandra 4.0

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

AUGUST 3, 2021

Release – The first major release of NoSQL database in five years! Rack-aware Kafka streams – Kafka has already been rack-aware for a while, which gives its users more confidence. 5 Reasons to Choose Pulsar Over Kafka – The author states his bias upfront, which is nice. Cassandra 4.0

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

DECEMBER 26, 2023

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Monte Carlo

JANUARY 5, 2024

Snowflake announced Snowpipe for streaming and refactored their Kafka connector, and Google announced Pub/Sub could now be streamed directly into the BigQuery. Increasingly, data warehouses and data lakes are moving toward each other in a general shift toward data lakehouse architecture.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

Snowflake announced Snowpipe for streaming and refactored their Kafka connector, and Google announced Pub/Sub could now be streamed directly into the BigQuery. Increasingly, data warehouses and data lakes are moving toward each other in a general shift toward data lakehouse architecture.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Rockset

NOVEMBER 9, 2021

CDC with Update Timestamps and Kafka One of the simplest ways to implement a CDC solution in both MySQL and Postgres is by using update timestamps. Kafka Connect also has connectors to target systems that can then write these records for you. To simplify this process we can use Kafka Connect.

MySQL 52

MySQL Kafka AWS Database 52

ProjectPro

OCTOBER 3, 2016

has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline. Using NoSQL alternative to hadoop for use cases that require data hubs, IoT and real time analytics can save time,money and reduce risk. To compete in a field of diverse data tools, Vertica 8.0

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 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 Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

AltexSoft

OCTOBER 30, 2021

Data engineers are well-versed in Java, Scala, and C++, since these languages are often used in data architecture frameworks such as Hadoop, Apache Spark, and Kafka. noSQL storages, cloud warehouses, and other data implementations are handled via tools such as Informatica, Redshift, and Talend. An overview of data engineer skills.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Rockset

JUNE 16, 2020

An omni-channel retail personalization application, as an example, may require order data from MongoDB, user activity streams from Kafka, and third-party data from a data lake. We can load new data from other data sources—Kafka and Amazon S3—into our production MongoDB instance and run our queries there.

MongoDB 52

MongoDB Data Lake PostgreSQL Kafka 52

ProjectPro

JULY 21, 2015

Related Posts Apache Kafka Architecture and Its Components-The A-Z Guide Kafka vs RabbitMQ - A Head-to-Head Comparison for 2021 HBase vs Cassandra-The Battle of the Best NoSQL Databases PREVIOUS NEXT < If they need real time processing of ad-hoc queries on subset of data then Impala is a better choice.

Hadoop 40

Hadoop SQL NoSQL Kafka 40

Knowledge Hut

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Equip yourself with the experience and know-how of Hadoop, Spark, and Kafka, and get some hands-on experience in AWS data engineer skills, Azure, or Google Cloud Platform. You can also post your work on your LinkedIn profile.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Rockset

APRIL 3, 2020

Rockset This SaaS service allows fast SQL on NoSQL data from varied sources like Kafka, DynamoDB, S3 and more. We had selected Amazon MSK to run Kafka and Spark. But, then there were issues as to which interoperable version of software (Spark, Kafka) to choose to run on the cluster.

Data Pipeline 40

Data Pipeline Systems Management NoSQL 40

Rockset

JANUARY 28, 2022

However, Seesaw’s DynamoDB database stored the data in its own NoSQL format that made it easy to build applications, just not analytical ones. And that was only possible if both internal and external users could drill down into the freshest data possible in order to get the answers they needed.

NoSQL 52

NoSQL MongoDB PostgreSQL ETL Tools 52

Rockset

JANUARY 23, 2020

The new databases that have emerged during this time have adopted names such as NoSQL and NewSQL, emphasizing that good old SQL databases fell short when it came to meeting the new demands. Apache Cassandra is one of the most popular NoSQL databases. Kafka Streams supports fault-tolerant stateful applications.

Database 40

Database MySQL Kafka NoSQL 40

Knowledge Hut

APRIL 25, 2023

Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Grouparoo

OCTOBER 6, 2021

42 Learn to Use a NoSQL Database, but Not like an RDBMS Write answers to questions in NoSQL databases for fast access 43 Let the Robots Enforce the Rules Work with people to standardize and use code to enforce rules 44 Listen to Your Users—but Not Too Much Create a data team vision and strategy. Increase visibility.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloudera

FEBRUARY 26, 2021

Apache HBase (NoSQL), Java, Maven: Read-Write. java -cp target/nosql-libs/*:target/hbase-read-write-0.1.0.jar:hbase-conf If you already have an application written for COD, you can skip to the Get connectivity information and Compile an application section in this blog post. . kinit cdp_username. Password: **.

Database 61

Database Java NoSQL Programming Language 61

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. You can learn more about Confluent vs. Kafka over on Confluent’s site.

Cloud 52

Cloud PostgreSQL Kafka Database 52

Rockset

APRIL 29, 2019

DynamoDB has been one of the most popular NoSQL databases in the cloud since its introduction in 2012. While NoSQL databases like DynamoDB generally have excellent scaling characteristics, they support only a limited set of operations that are focused on online transaction processing.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

Cloud Academy

JANUARY 27, 2022

Some basic real-world examples are: Relational, SQL database: e.g. Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces.

Certification 52

Certification Data Engineering Data Engineer Engineering 52