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

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

Confluent

MARCH 26, 2019

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. This article describes how to instrument Kafka-based applications with distributed tracing capabilities in order to make dataflows between event-based components more visible.

Applications 111

Applications Transportation Architecture Open Source 111

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

JANUARY 20, 2021

This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Serving – controlling and running essential business operations (ATM transactions, retail checkout, or production monitoring) . STEP 4: Capture data from Apache Kafka streams.

Data 103

Data Artificial Inteligence Analytics Machine Learning 103

Datavail

JANUARY 5, 2023

AWS is delivering a zero-ETL Amazon Aurora and Amazon Redshift integration to support near real-time access to this transactional data. Real-time streaming ingestion for Amazon Kinesis Data Streams and Amazon Managed Streaming for Apache Kafka is now generally available for Redshift. Amazon Athena now has Apache Spark support.

AWS 52

AWS Analytics Disaster Recovery Serverless 52

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

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

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

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

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

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

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

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

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

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

AUGUST 4, 2021

Centers for Disease Control and Prevention ( cdc.gov ) has certainly been in the forefront of the news, and their Apache Kafka Covid-19 pipeline was the inspiration for my ongoing Kafka Connect streaming data pipeline series. The last two use cases (or possibly design patterns) use the power of Kafka Streams.

Data 59

Data Open Source Analytics System 59

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

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

TIBCO - Connected Intelligence

APRIL 7, 2021

This approach was manifested in solutions standards such as Java Message Service (JMS, now Jakarta Messaging), Apache ActiveMQ (AMQ) and Advanced Message Queuing Protocol (AMQP), and even Message Queuing Telemetry Transport (MQTT). If you’re building an event-driven architecture, look at Apache Kafka or Apache Pulsar.

IoT 26

IoT Internet Meeting Architecture 26

Altexsoft

MAY 14, 2021

This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. Text mining is an advanced analytical approach used to make sense of Big Data that comes in textual forms such as emails, tweets, researches, and blog posts. Apache Hadoop.

Big Data 78

Big Data Analytics Tools Applications 78

Confluent

MAY 9, 2019

I don’t trust my application when it is asynchronous—I really want transactions.”. It is easy to understand but also scary for developers who must trust an action that moves money from one account to another only using a transaction. Transactions give you all or nothing (atomic) behavior. Why a payment system, you ask?

Microservices 93

Microservices Metrics Systems Review Architecture 93

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

Confluent

FEBRUARY 13, 2019

For example, a stream can be used to capture a user’s clickstream, a set of events against a transaction, shopping cart behavior, etc. Like database transactions, stream processors can also transact against the event log, support correctness semantics like ordering, exactly once semantics (EoS), idempotence, temporal reasoning and more.

Architecture 90

Architecture Programming Microservices Serverless 90

Gorilla Logic

NOVEMBER 6, 2019

Within this article I will discuss the benefits of using Kafka Connect for complex data migrations such as these. These are very good reasons to consider Kafka, one of the current, coolest ways to stream data among systems or applications. . One of the main advantages of Kafka Connect is the simplicity. Docker Compose Project.

Data 51

Data How To Lambda AWS 51

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

Instaclustr

MAY 5, 2019

Since the launch of Instaclustr Managed Kafka, we have gained broad production experience managing Apache Kafka across a wide range of use cases. With more production clusters, we are learning more about Kafka and how best to tune and optimise it for performance, scale, and reliability. i3 instance type pricing.

Storage 41

Storage AWS Performance Testing 41

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

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

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

Bernd Rucker

JULY 18, 2019

I revealed that Zeebe plays in the same league as e.g. Apache Kafka. I contrasted this to traditional workflow engine architectures using a RDMS in part 1 of this blog post. If you are deep in transactional thinking you might ask one question: “Nice?—?but Events are immutable and therefore this event log is append-only.

Scalability 42

Scalability Data Center Data Engineering 42

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. To simplify all of this, different providers have emerged to offer Apache Kafka as a managed service. How do you spot a true fully managed service for Apache Kafka?

Software Review 21

Software Review Technical Review Storage Cloud 21

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