Altexsoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

TechCrunch

APRIL 13, 2021

At its core, Meroxa provides a single Software-as-a-Service solution that connects relational databases to data warehouses and then helps businesses operationalize that data. Because of this, users can use the service to connect different tools to their data warehouse but also build real-time tools on top of these data streams.

Data 248

Data Software Engineering Open Source Engineering 248

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 88

Cloud Fractional CTO Software Review Banking 88

Confluent

FEBRUARY 27, 2019

When it comes to the emerging serverless world, It makes sense to validate how Apache Kafka ® fits in considering that it is mission critical in 90 percent of companies. By persisting the streams in Kafka we then have a record of all system activity (a source of truth), and also a mechanism to drive reactions.

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Serverless Lambda AWS Systems Review 109

Confluent

SEPTEMBER 24, 2019

Franz Kafka, 1897. Load balancing and scheduling are at the heart of every distributed system, and Apache Kafka ® is no different. Kafka clients—specifically the Kafka consumer, Kafka Connect, and Kafka Streams, which are the focus in this post—have used a sophisticated, paradigmatic way of balancing resources since the very beginning.

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Load Balancer Software Review Groups Resources 16

Confluent

MAY 28, 2019

Mistake #1: Co-locating Schema Registry instances on Apache Kafka ® brokers. Given its relatively low footprint, operators may be tempted to co-locate Schema Registry with other services, like a Kafka broker. Whether the design is active-active or active-passive, designate one Kafka cluster as the primary for Schema Registry.

Weak Development Team 83

Weak Development Team Backup Disaster Recovery Applications 83

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. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist.

Software Review 21

Software Review Technical Review Storage Cloud 21

Altexsoft

APRIL 26, 2022

This optimized data is stored in one of the cloud object storage such as S3 by AWS, Google Cloud Storage, or Microsoft Azure Blob Storage. Connectors, tools, and integrations. Connectivity is one of the strengths of the platform. Snowflake provides a Python-based CLI Client called SnowSQL to connect to the data warehouse.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers. Wrangling the data.

Data 19

Data Training Analytics Storage 19

Confluent

OCTOBER 23, 2019

If you’ve worked with the Apache Kafka ® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it. While there is an ever-growing list of connectors available—whether Confluent or community supported?you What is Kafka Connect?

Groups 15

Groups Examples Storage Data 15

Confluent

AUGUST 19, 2019

When it comes to writing a connector, there are two things you need to know how to do: how to write the code itself, and helping the world know about your new connector. It points to best practices for anyone writing Kafka Connect connectors. It points to best practices for anyone writing Kafka Connect connectors.

Programming 15

Programming Software Review Technical Review Systems Review 15

Altexsoft

NOVEMBER 10, 2021

Unifying batch and streaming data processing capabilities, the layer may use different protocols to connect to a bunch of internal and external sources such as. The lakehouse design is supposed to allow keeping all kinds of data in low-cost object stores, e.g., AWS S3 , as objects. websites, etc. Storage layer.

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 19, 2019

Extract data – Connecting to the original data sources and retrieving it from them. There are two ways of obtaining data with Sisense: importing it to ElastiCube, the solution’s proprietary database, or connecting directly to sources. The second option is called the live connection and works well for frequently changing data.

Business Intelligence 13

Business Intelligence Tools Data Azure 13