Instaclustr

OCTOBER 18, 2021

In Part 6 and Part 7 of the pipeline series we took a different path in the pipe/tunnel and explored PostgreSQL and Apache Superset, mainly from a functional perspective—how can you get JSON data into PostgreSQL from Kafka Connect, and what does it look like in Superset. Comparing Elasticsearch and PostgreSQL Replication Settings.

Performance 84

Performance Comparison Systems Review Metrics 84

Cloudera

SEPTEMBER 28, 2020

The customer also wanted to utilize the new features in CDP PvC Base like Apache Ranger for dynamic policies, Apache Atlas for lineage, comprehensive Kafka streaming services and Hive 3 features that are not available in legacy CDH versions. ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements.

Cloud 130

Cloud Systems Review Technical Review Software Review 130

Cloudera

AUGUST 21, 2020

In a financial services context, this could be trades or transactional data. With real-time streaming data, this context and detection is instantly available and the second fraudulent transaction can be blocked immediately. However, in the context of time and geography, these two events point to a pattern of fraud.

Data 59

Data Analytics Banking Government 59

Netflix Tech

OCTOBER 15, 2019

We have observed a series of distinct patterns which have tried to address multi-datastore synchronization, such as dual writes, distributed transactions, etc. Change Log Table When mutations (like an insert, update and delete) occur on a set of tables, entries for the changes are added to the log table as part of the same transaction.

Data 77

Data Microservices Transportation Systems Review 77

Cloudera

AUGUST 26, 2020

In Part II of our Q&A, Dinesh will be looking at how businesses can leverage technology like Apache Flink and Apache NiFi to promote low latency processing of high-volume, high-velocity data. There would be a flurry of transactions on the stock which would in turn affect the value. How does that happen in near real-time?

Data 80

Data Banking Architecture Fashion 80

Cloudera

JANUARY 19, 2022

These integrated data services provide fit-for-purpose solutions for different data workloads including – advanced analytics, streaming, Machine Learning and transaction processing, which will provide an end to end automated data lifecycle. Download the reports to see the detailed scores . 2021 Gartner Magic Quadrant for Cloud DBMS .

Report 86

Report Technical Advisors Cloud Analytics 86

Instaclustr

JUNE 4, 2019

In the past few months, our Technology Evangelist, Paul Brebner has been relentlessly testing the limits of massive-scale deployment of a data pipeline consisting of Apache Kafka and Apache Cassandra on the Instaclustr Managed Platform in conjunction with an example Anomaly detection application running on a Kubernetes cluster deployed on AWS EKS.

Scalability 29

Scalability Open Source AWS Applications 29

Datavail

JULY 14, 2022

Each individual event and transaction between the development and production processes generate data that is captured and transmitted into home office data warehouses. Managing and maximizing the value of continuous ingestion pipelines is a complex process made more difficult because the flow of information never stops.

Data 52

Data AWS Analytics Programming 52

Bernd Rucker

FEBRUARY 8, 2022

In today’s blog post I want to explain the reasoning behind this move and why we recommend a remote engine. This integration was huge because it allowed developers to focus on developing their process solutions, without fiddling with how to configure the workflow engine, how to get transactions to work, etc. REST, AMQP, Kafka).

Engineering 52

Engineering Architecture Programming Cloud 52

Confluent

AUGUST 29, 2019

We know that Apache Kafka ® is great when you’re dealing with streams, allowing you to conveniently look at streams as tables. Kafka already allows you to look at data as streams or tables; graphs are a third option, a more natural representation with a lot of grounding in theory for some use cases. 8, and so on.

Social 55

Social Network Applications Cloud 55

Modus Create

JULY 7, 2020

If they can’t complete the transaction fast, you may lose the sale. This article expands on the most advanced technique in my earlier blog post, New Relic and JMeter Performance Remediation – Part 3 , Introduce transactional asynchronous messaging. Processing a Shopping Cart Order. Async to the Rescue.

Performance 84

Performance Hotels AWS Systems Review 84

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Rockset supports JDBC and integrates with other SQL dashboards like Tableau, Grafana, and Apache Superset.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Linux Academy

OCTOBER 29, 2019

Kafka streams seem like a daunting subject to many learners, but they don’t have to be. In fact, when I put together information for this blog post, I joked that getting all this data would be like drinking from a waterfall. This will help to explain it: Understanding Kafka Streams. Netflix uses Kafka. Stock trades.

Big Data 17

Big Data Linux Course Training 17

Instaclustr

OCTOBER 13, 2021

In Part 6 and Part 7 of the pipeline series we took a different path in the pipe/tunnel and explored PostgreSQL and Apache Superset, mainly from a functional perspective—how can you get JSON data into PostgreSQL from Kafka Connect , and what does it look like in Superset. Scaling Kafka Connect, Elasticsearch, and PostgreSQL Pipelines.

Performance 83

Performance Metrics Systems Review Testing 83

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.

Applications 85

Applications Scalability Examples Data 85

Confluent

JUNE 18, 2019

While the intuitive approach, known as a distributed transaction , is popular and seems useful, you might encounter consistency problems if one of your writes fails. that describes the existing problems with heterogeneous, distributed transactions. Building an indexing pipeline at scale with Kafka Connect. Direct indexing.

Scalability 96

Scalability Architecture Machine Learning Artificial Inteligence 96

Confluent

MAY 30, 2019

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®.

Cloud 94

Cloud Data Applications Windows 94

Cloudera

MARCH 15, 2023

The Transactional Outbox pattern provides a solution for services to execute these operations in a safe and atomic manner, keeping the application in a consistent state. This way the two statements can be part of the same transaction, and since most modern databases guarantee atomicity, the transaction either succeeds or fails completely.

Data 87

Data Microservices Storage Applications 87

Bernd Rucker

NOVEMBER 18, 2019

How and why to bring workflow to Apache Kafka In the last year I had a lot of contact with the community around Kafka and Confluent (the company behind Apache Kafka)?—?a Some have Kafka in production already, at the heart of their company. You can find a good intro in the Kafka docs.

Microservices 8

Microservices Architecture Scalability Course 8

Confluent

APRIL 4, 2019

In the Apache Kafka ® world, this means that each of those microservice client applications subscribes to a common Kafka topic. Once this stream is created, the application may take any action on the events using the rich Kafka Streams API. IoT: a stream of sensor data in which each sensor reading is an event.

Microservices 108

Microservices IoT Applications Architecture 108

Altexsoft

MARCH 31, 2020

That means your website must quickly process lots of transactions involving small amounts of data like order ID and details, user ID, or credit card data. Online transaction processing ( OLTP ) systems, namely databases and applications like a shopping cart, make it possible for an eCommerce business to work non-stop as it should do.

Data 76

Data Storage Analytics Data Center 76

Cloudera

FEBRUARY 10, 2022

The need for a cloud-native Apache NiFi service on Microsoft Azure. Apache NiFi’s rich processor library provides Azure focused processors like ADLS Gen2, Event Hub, Blob Storage or Cosmos DB out of the box. Modern applications often provide streaming interfaces to send transaction data in real-time to external systems for analysis.

Azure 113

Azure Cloud Infrastructure Virtualization 113

Bernd Rucker

FEBRUARY 8, 2022

Do you need to integrate multiple components without the help of ACID (atomicity, consistency, isolation, and durability) transaction managers? Then, this blog post is for you. I will first briefly explain what transaction managers are and why you might not have them at your disposal in modern architecture.

Software Review 71

Software Review Technical Review Microservices Systems Review 71

Confluent

JUNE 11, 2019

Here in part 4 of the Spring for Apache Kafka Deep Dive blog series, we will cover: Common event streaming topology patterns supported in Spring Cloud Data Flow. Create and manage event streaming pipelines, including a Kafka Streams application using Spring Cloud Data Flow.

Continuous Delivery 85

Continuous Delivery Applications Cloud Construction 85

Confluent

MARCH 12, 2019

On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support , here in part two we’ll focus on another project that enhances the developer experience when building streaming applications on Kafka: Spring Cloud Stream.

Cloud 111

Cloud Applications Groups Examples 111

Instaclustr

OCTOBER 11, 2021

In the ever-growing field of big data, Apache Kafka has become a widely adopted distributed streaming platform. From message queuing to event streaming, Apache Kafka delivers on a wide range of use cases. With that being said, there are alternative technologies that are sometimes considered when evaluating Kafka.

Azure 62

Azure Open Source Comparison Scalability 62

Confluent

MAY 15, 2019

He describes the traditional way of segmenting systems as either analytic or transactional, with transactional systems being the ones that generate useful data, and analytic systems being the ones that use that data for decision-making and reporting. Oracle GoldenGate is only a source for Kafka, not a sink.

Analytics 91

Analytics Cloud Data System 91

Cloudera

SEPTEMBER 1, 2020

In the final part of our Q&A, Dinesh will be looking at low latency streaming architecture models, expand on technology like Apache Flink, Apache NiFi and Apache Kafka and talk how Cloudera is already supporting businesses in integrating these solutions to leverage new opportunities within the financial service sector.

Open Source 97

Open Source Data Architecture Data Center 97

Instaclustr

APRIL 29, 2019

In this tenth and final blog of the Anomalia Machina series we tune the anomaly detection system and succeed in scaling the application out from 3 to 48 Cassandra nodes, and get some impressive numbers: 574 CPU cores (across Cassandra, Kafka, and Kubernetes clusters), 2.3 See this documentation for all the steps and examples. .

Scalability 49

Scalability Systems Review Metrics AWS 49

Cloudera

SEPTEMBER 20, 2021

There are many ways that Apache Kafka has been deployed in the field. In our Kafka Summit 2021 presentation, we took a brief overview of many different configurations that have been observed to date. Kafka as software falls more cleanly into the Parallel Systems Reliability discussed below but some parts of it can end up Serial.

Systems Review 113

Systems Review System Hardware Software Review 113

Cloudera

OCTOBER 19, 2022

In this post I will demonstrate how Kafka Connect is integrated in the Cloudera Data Platform (CDP), allowing users to manage and monitor their connectors in Streams Messaging Manager while also touching on security features such as role-based access control and sensitive information handling. Kafka Connect. Streams Messaging Manager.

Data 70

Data Authentication Groups Resources 70

Bernd Rucker

APRIL 6, 2020

I want to answer all open questions in this blog post. You can read about it in this blog post , the whole tooling is open source! You might share the same database transaction. So you need to go via a well-defined API, which is most often either REST or Messaging (but could also mean Kafka, gRPC, SOAP or similar).

Microservices 52

Microservices Architecture Technical Review Engineering 52

Confluent

APRIL 17, 2019

In particular, the management and monitoring capabilities that we added to Confluent Control Center have evolved it into an indispensable tool for anyone working with Apache Kafka ®. Part 2: Managing Kafka Configurations at Scale with Confluent Control Center. Download Confluent Platform version 5.2

DevOps 75

DevOps Policies Comparison Applications 75

Cloudera

NOVEMBER 2, 2020

E.g. correction of data for a transaction, Change Detection Capture (CDC), Slowly Changing Dimension (SCD) type 2 logic, reordering of late-arriving event data. Deep Dive into Time Series and Event Analytics Specialized RTDW , featuring Apache Druid, Apache Hive, Apache Kafka, and Cloudera DataViz.

Data 90

Data Analytics Storage Big Data 90

Bernd Rucker

DECEMBER 14, 2023

Wondering how technical transactions work with Camunda and the Spring framework? Learn more about transactional behavior in this blog post. We regularly answer questions around how technical transactions work when using Camunda (in the latest version 8.x) Zeebe does not need a transaction manager and cannot join one.

Technical Advisors 52

Technical Advisors Technical Review Systems Review Microservices 52

Confluent

APRIL 17, 2019

In particular, the management and monitoring capabilities that we added to Confluent Control Center have evolved it into an indispensable tool for anyone working with Apache Kafka ®. Part 2: Managing Kafka Configurations at Scale with Confluent Control Center. Download Confluent Platform version 5.2

DevOps 40

DevOps Policies Comparison Applications 40

Cloudera

APRIL 15, 2021

In this blog we will cover the new features in the 7.1.6 Added support for standalone NiFi/Kafka clusters. Added transaction support with Phoenix 5.1. Operational Database – Apache Phoenix 5.1. We’ve released Apache Phoenix 5.1 A scale-out RDBMS that is built on top of Apache HBase. and HDP 2.6.5.

Cloud 66

Cloud Data Engineering Resources Engineering 66