Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts. This is what we call the first-mile problem.

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Process Kafka SQL Machine Learning 81

Cloudera

JULY 15, 2021

This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure. Introduction and Rationale. Role allocation. Edge or Gateway.

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Architecture Cloud Kafka Hadoop 97

Knowledge Hut

APRIL 25, 2023

Data engineering tools are software applications that help data engineers manage and process large and complex data sets. Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. What are Data Engineering Tools? Let’s take a look: 1.

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Data Engineering Data Engineer Engineering Google Cloud 52

Cloudera

OCTOBER 4, 2022

This blog post will provide guidance to administrators currently using or interested in using Kafka nodes to maintain cluster changes as they scale up or down to balance performance and cloud costs in production deployments. Kafka brokers contained within host groups enable the administrators to more easily add and remove nodes.

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Kafka Data Cloud Big Data 77

Confluent

JUNE 12, 2019

Confluent Cloud, a fully managed event cloud-native streaming service that extends the value of Apache Kafka ® , is simple, resilient, secure, and performant, allowing you to focus on what is important—building contextual event-driven applications, not infrastructure. KSQL and Kafka Connect example.

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Cloud Kafka Healthcare Software Engineer 93

Confluent

APRIL 18, 2019

And Confluent Cloud and Apache Kafka ® are at the center of this transformation. Kafka is business critical for us. So working with Confluent Cloud and the Kafka experts was an obvious choice,” says Stefan Frehse, Software Architect, Digitalization, for food processing machinery company BAADER.

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Food Cloud Retail Kafka 83

Knowledge Hut

SEPTEMBER 6, 2023

Big Data certification courses are a great way to enhance skills and become adept data professionals, fully equipped to tackle modern-day world data challenges. 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.

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Big Data Certification Hadoop Scala 52

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. The Schema Registry supports Java client apps and the Apache Avro and JSON Schema data formats.

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AWS Data Lake Scala ETL Tools 52

Cloudera

JANUARY 26, 2021

Has your organization considered upgrading from Hortonworks Data Flow (HDF) to Cloudera Flow Management (CFM) , but thought the migration process would be too disruptive to your mission critical dataflows? In truth, many NiFi dataflows can be migrated from HDF to CFM quickly and easily with no data loss and without any service interruption.

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Kafka Hadoop Data Ingestion Utilities 76

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. Data pipelines have evolved to manage big data, just like many other elements of data architecture. What is a Big Data Pipeline?

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Data Pipeline Architecture Kafka AWS 52

Cloudera

SEPTEMBER 30, 2021

Our recent blog discussed the four paths to get from legacy platforms to CDP Private Cloud Base. In this blog and accompanying video, we will deep dive into the mechanics of running an in-place upgrade from CDH5 or CDH6 to CDP Private Cloud Base. Cloudera Manager data. Exporting Sentry policies ready for Apache Ranger.

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Cloud PostgreSQL Metadata MySQL 69

Cloudera

SEPTEMBER 23, 2020

Access audits are mastered centrally in Apache Ranger which provides comprehensive non-repudiable audit log for every access event to every resource with rich access event metadata such as: IP. Cloudera’s platform can support piping of audit data to HDFS, Kafka, Syslog or to SIEM systems for long-term retention and archival.

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Database Data Lake Metadata Java 80

Rockset

JULY 8, 2020

Recently we've seen a big increase in the use of on-demand logistics services, such as online shopping and food delivery. Rockset - The query engine powering all the models and services. For this example, we will use Kafka. You can run a background service in the app that retrieves the GPS coordinates every 10 seconds.

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Kafka Designing Systems Food 40

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. In an identity/access management application, it’s the relationships between roles and their privileges that matters most. The approach we’ll use works with any Kafka run though. 8, and so on.

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Kafka Process Algorithm Cloud 55

Rockset

APRIL 29, 2019

In this blog post I compare options for real-time analytics on DynamoDB - Elasticsearch , Athena, and Spark - in terms of ease of setup, maintenance, query capability, latency. It is central to many modern applications in ad tech, gaming, IoT, and financial services. AWS Glue is a fully managed ETL service that lets us do both.

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NoSQL PostgreSQL AWS SQL 52

Confluent

AUGUST 27, 2019

We are excited to announce the release of Confluent Cloud Schema Registry in general availability (GA), available in Confluent Cloud , our fully managed event streaming service based on Apache Kafka ®. Up until now, you need to manage your own Confluent Schema Registry in order to get the benefits mentioned above.

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Cloud Kafka Electronics Metadata 18

Monte Carlo

JULY 7, 2022

You can read more about Convoy’s approach from our blog with their Head of Product, Data Platform, Chad Sanderson, “ The modern data warehouse is broken.” Interestingly these three organizations share a need for near real-time data and have services that produce copious first-party event/transactional data). Or is it a passing fad?

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Data Warehouse Software Engineer Software Engineering Data 52

Rockset

MARCH 18, 2024

Today, Confluent announced the general availability of its serverless Apache Flink service. Flink is one of the most popular stream processing technologies, ranked as a top five Apache project and backed by a diverse committer community including Alibaba and Apple. Why use Confluent Cloud for Apache Flink and Rockset for RAG?

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Cloud Building Metadata Kafka 64

Confluent

JUNE 26, 2019

I see this pattern coming up more and more in the field in conjunction with Apache Kafka ®. In these projects, microservice architectures use Kafka as an event streaming platform. Apache Kafka – An event streaming platform for microservices. So why is Kafka such a good fit? Microservices. Martin Fowler.

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Kafka Designing Architecture ETL Tools 109

Snowflake

MARCH 2, 2023

That proves to be a difficult task for data engineering teams that have to manage separate infrastructure for batch data and streaming data. As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. How does Snowpipe Streaming work? Why Snowpipe Streaming?

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Kafka Data Ingestion Data Pipeline Cloud Storage 116

Rockset

FEBRUARY 24, 2023

Kafka or Kinesis ? Open source or fully managed? This blog series will help demystify streaming data, and more specifically, provide engineering leaders a guide for incorporating streaming data into their analytics pipelines. A few noteworthy points: Self-managed Kafka can be deployed on-premises or in the cloud.

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Kafka AWS Amazon Web Services Programming Language 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.

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Process Kafka PostgreSQL MySQL 86

Confluent

MAY 21, 2019

There is a UI that lets users update their profiles and a backend profile service responsible for updating the profile database. If the user changed their residential address, the profile service will also call the quote service so that the insurance coverage can be recalculated (after all, some neighborhoods are safer than others).

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Kafka Insurance Architecture Database 110

Rockset

MARCH 27, 2023

This blog will clarify some conceptual differences, provide an overview of popular tools, and offer a framework for deciding which tools are best suited for specific technical requirements. It was developed by the Apache Software Foundation and is written in Java and Scala. It’s easier to talk about the different approaches they take.

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Database Process Scala SQL 52

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?

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Kafka Hadoop ETL Tools Big Data 93

Cloudera

MARCH 15, 2023

Microservices, as part of their business logic, sometimes do not only need to persist data into their own local storage, but they also need to fire an event and notify other services about the change of the internal state. The Outbox Pattern The general idea behind this pattern is to have an “outbox” table in the service’s data store.

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PostgreSQL Kafka Database Data 88

Cloudera

FEBRUARY 2, 2021

In the previous posts in this series, we have discussed Kerberos , LDAP and PAM authentication for Kafka. In this post we will look into how to configure a Kafka cluster and client to use a TLS client authentication. TLS is assumed to be enabled for the Apache Kafka cluster, as it should be for every secure cluster.

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Kafka Certification Java Government 77

Confluent

MAY 28, 2019

Part 1 of this blog series by Gwen Shapira explained the benefits of schemas, contracts between services, and compatibility checking for schema evolution. But it’s important to configure it properly from the start and manage it well, or else the schemas may not be available to the applications that need them.

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Management Kafka Java Certification 83

Data Engineering Weekly

DECEMBER 18, 2022

Today, the biggest reported revenue effects are found in marketing and sales, product and service development , and strategy and corporate finance, and respondents report the highest cost benefits from AI in supply chain management The tech talent shortage shows no sign of easing, threatening to slow that shift for some companies.

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Data Engineering Data Engineer Engineering Relational Database 52

Rockset

FEBRUARY 24, 2022

It’s a fully managed service within the Amazon Web Services (AWS) cloud, which obviates the need to manage infrastructure. Kinesis is modeled after Apache Kafka: both are general-purpose publish/subscribe messaging services, both are horizontally scalable, and both are high performance.

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AWS Amazon Web Services Kafka Business Intelligence 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Sandbox Creation and Management. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. Genie — Distributed big data orchestration service by Netflix. Meta-Orchestration.

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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.

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Cloud PostgreSQL Kafka Database 52

Cloudera

OCTOBER 22, 2021

With the latest release of Cloudera DataFlow for the Public Cloud (CDF-PC) we added new CLI capabilities that allow you to automate data flow deployments, making it easier than ever before to incorporate Apache NiFi flow deployments into your CI/CD pipelines. Exporting data flows from Flow Management for Data Hub. Apache NiFi 1.11

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Cloud Data Accessible Accessibility 91

Scribd Technology

MAY 18, 2021

Streaming data from Apache Kafka into Delta Lake is an integral part of Scribd’s data platform, but has been challenging to manage and scale. We use Spark Structured Streaming jobs to read data from Kafka topics and write that data into Delta Lake tables. To serve this need, we created kafka-delta-ingest.

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Kafka Data Warehouse Bytes Metadata 52

Data Engineering Weekly

DECEMBER 11, 2022

I think we barely touched the surface of Data Quality Management. Grab writes about how it implemented Zero trust infrastructure for Kafka. Plus, it gives you more technical controls, so you can fully unlock the power of your customer data. With that, Let’s jump on to this week’s top articles.

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Data Engineering Data Engineer Engineering Kafka 52

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads. private cloud only, public multi-cloud or hybrid).

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Data Warehouse Data Architecture Cloud 95

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase.

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