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. It was open sourced by Twitter in 2012, and now it is in the process of becoming an Apache Software Foundation project. Zipkin: Distributed tracing infrastructure. Zipkin Architecture Overview.

Kafka 111

Kafka Transportation Metadata Consulting 111

Cloudera

JUNE 7, 2021

It enabled users to easily write, run and manage real-time SQL queries on streams from Apache Kafka with an exceptionally smooth user experience. . At the end of March, we released the first version of Cloudera SQL StreamBuilder as part of CSA 1.3. We have further streamlined the integration with Kafka and Schema Registry.

Kafka 101

Kafka SQL Accessible Accessibility 101

Cloudera

JUNE 18, 2022

An open lakehouse, and the birth of Apache Iceberg. Apache Iceberg was built from inception with the goal to be easily interoperable across multiple analytic engines and at a cloud-native scale. The cloud native table format was open sourced into Apache Iceberg by its creators. Apache Iceberg’s real superpower is its community.

Data Lake 89

Data Lake Data Warehouse BI SQL 89

Data Engineering Podcast

NOVEMBER 18, 2018

Apache Flink is a true stream processing engine with an impressive set of capabilities for stateful computation at scale. Apache Flink is a true stream processing engine with an impressive set of capabilities for stateful computation at scale. Can you start by describing what Flink is and how the project got started?

Process 100

Process Scala Google Cloud Kafka 100

Data Engineering Podcast

JUNE 17, 2017

Keep in touch Yelp Engineering Blog Email Links Kafka Redshift ETL Business Intelligence Change Data Capture LinkedIn Data Bus Apache Storm Apache Flink Confluent Apache Avro Game Days Chaos Monkey Simian Army PaaSta Apache Mesos Marathon SignalFX Sensu Thrift Protocol Buffers JSON Schema Debezium Kafka Connect Apache Beam The intro and outro music (..)

Data Pipeline 100

Data Pipeline Kafka Business Intelligence Architecture 100

Confluent

FEBRUARY 28, 2019

So you can stream your events from Apache Kafka ® directly into Neo4j to create, update and enrich your graph structures. The events can come from frontend systems, API notifications, other databases or streaming systems like Apache Spark and Apache Flink ®. jar -f AVRO -e 100000.

Kafka 87

Kafka Java Programming Language Data Pipeline 87

Data Engineering Podcast

DECEMBER 8, 2019

Links SnowflakeDB Free Trial Stack Overflow Data Warehouse Oracle DB MPP == Massively Parallel Processing Shared Nothing Architecture Multi-Cluster Shared Data Architecture Google BigQuery AWS Redshift AWS Redshift Spectrum Presto Podcast Episode SnowflakeDB Semi-Structured Data Types Hive ACID == Atomicity, Consistency, Isolation, Durability 3rd Normal (..)

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Cloudera

JUNE 2, 2021

For example, all common databases (redshift, snowflake, mongo, hbase, … ), service integrations (salesforce) and popular file formats (avro, parquet, ORC, csv…) and dozens more listed here. Integrate with a wide swathe of 3rd party data sources with Spark to provide an extensive library that can be leveraged in CDE.

Data Pipeline 89

Data Pipeline Data Warehouse Machine Learning Data Architect 89

Confluent

JULY 11, 2019

Reading, writing, and transforming data in Apache Kafka ® using KSQL is an effective way to rapidly deliver event streaming applications for clients (e.g., For a KSQL newbie the practical exercises show you how to process data in Apache Kafka using an interactive SQL interface. streaming insurance events ).

Kafka 83

Kafka Insurance SQL Architecture 83

Data Engineering Podcast

SEPTEMBER 7, 2020

__init__ Episode Tensorflow Spark The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast Summary Databases are limited in scope to the information that they directly contain.

Architecture 100

Architecture Data Architecture SQL Engineering 100

Data Engineering Podcast

DECEMBER 22, 2019

To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Links Materialize Timely Dataflow Dryad : Distributed Data-Parallel Programs from SequentialBuilding Blocks [Naiad](Programs from SequentialBuilding Blocks): A (..)

SQL 100

SQL Building Engineering Java 100

Data Engineering Weekly

APRIL 2, 2023

After the initial phase of running Debezium with JSON, we migrated the data to Avro as serialization format, because — being a binary format — it is much more compact, efficient, and supports the use of a schema registry. link] Jun Zhang - Tencent Data Engineer - Why We Go from ClickHouse to Apache Doris?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Data Engineering Podcast

NOVEMBER 9, 2020

__init__ Episode Django PostgreSQL Redis Celery Amazon ECS (Elastic Container Service) Django Storages Dagster Airflow DataHub Avro Singer Apache Atlas The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA Support Data Engineering Podcast

Building 100

Building PostgreSQL BI Metadata 100

ProjectPro

JANUARY 24, 2023

The Schema Registry supports Java client apps and the Apache Avro and JSON Schema data formats. The Schema Registry is compatible with apps made for Apache Kafka, Amazon Managed Streaming for Apache Kafka (MSK), Amazon Kinesis Data Streams, Apache Flink, Amazon Kinesis Data Analytics for Apache Flink, and AWS Lambda.

AWS 52

AWS Data Lake Scala ETL Tools 52

Data Engineering Podcast

OCTOBER 9, 2018

Petersburg University of Fine Mechanics And Optics C C++ In-Memory Database RAM (Random Access Memory) Flash Storage Oracle DB PostgreSQL Podcast Episode Kafka Kinesis Wealth Management Data Warehouse ODBC S3 HDFS Avro Parquet Data Serialization Podcast Episode Broadcast Join Shuffle Join CAP Theorem Apache Arrow LZ4 S2 Geospatial Library Sybase SAP (..)

PostgreSQL 100

PostgreSQL BI Data Warehouse Machine Learning 100

Cloudera

JULY 14, 2023

Therefore, Apache Iceberg table format is poised to replace the traditional Hive table format in the coming years. Also, the underlying file format for the table has to be one of avro, orc, or parquet. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Metadata 70

Metadata Data Warehouse Big Data Ecosystem Java 70

Rockset

SEPTEMBER 14, 2021

We’re introducing a new Rockset Integration for Apache Kafka that offers native support for Confluent Cloud and Apache Kafka, making it simpler and faster to ingest streaming data for real-time analytics. For the first version of this release, we are only supporting JSON data (stay tuned for Avro!).

Kafka 52

Kafka SQL MongoDB Computer Science 52

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. Any option can pair well with Apache Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Rockset

AUGUST 21, 2019

Confluent , the company commercializing Apache Kafka, lists the provenly reliable Kafka Connect plugins in Confluent Hub , and integrates those plugins into its Confluent Platform, a product that makes it easy to setup, maintain, and monitor Kafka brokers and their associated instances. Our own implementation is here.

Kafka 40

Kafka IT Data Storage Relational Database 40

Snowflake

AUGUST 16, 2023

Snowpipe Streaming enables low-latency streaming data pipelines to support writing data rows directly into Snowflake from business applications, IoT devices or event sources such as Apache Kafka, including topics coming from managed services such as Confluent Cloud or Amazon MSK. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Striim

JANUARY 4, 2023

Apache Avro) to serialize and deserialize structured data. According to them, a data contract implementation consists of the following components, as depicted below: Defining data contracts as code using open-source projects (e.g.

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Rockset

MAY 27, 2021

It could be Avro coming from Kafka. Elasticsearch has an inverted index and it also has doc value storage built using Apache Lucene. Today you will find RocksDBs used in Apache Kafka, it's used in Flink, it's used in CockroachDB. It could be nested JSON coming from MongoDB. Lucene has been around for a while.

MongoDB 40

MongoDB Kafka Cloud SQL 40

Rockset

JULY 19, 2021

Apache Druid is a distributed real-time analytics database commonly used with user activity streams, clickstream analytics, and Internet of things (IoT) device analytics. In this article, we’ll discuss ingesting and using nested data in Apache Druid. The FlattenSpec only applies when the data format is JSON, Avro, ORC, or Parquet.

Programming Language 40

Programming Language Data Ingestion Data Database 40

Monte Carlo

JANUARY 25, 2023

There exists a lot of infrastructure around the data warehouse (tools like dbt, Monte Carlo , Great Expectations, and Apache Airflow) that are already established products and can help to implement contracts. We use Apache Airflow to orchestrate running dbt at various intervals throughout the day. Consistency in your tech stack.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

ProjectPro

OCTOBER 15, 2014

Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed. Pig supports Avro file format. AVRO is supported by PIG making serialization faster. Apache Pig Use Cases -Companies Using Apache Pig Dataium uses Apache Pig to sort and prepare data before it is handed over to MapReduce jobs.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

Confluent

SEPTEMBER 5, 2019

Following on from How to Work with Apache Kafka in Your Spring Boot Application , which shows how to get started with Spring Boot and Apache Kafka ® , here I will demonstrate how to enable usage of Confluent Schema Registry and Avro serialization format in your Spring Boot applications. Confluent Platform 5.3 ” Figure 1.

Java 20

Java Kafka Food Cloud 20

Data Engineering Podcast

FEBRUARY 25, 2024

When Paul Dix decided to re-write the InfluxDB engine he found the Apache Arrow ecosystem ready and waiting with useful building blocks to accelerate the process. In this episode he explains how he used the combination of Apache Arrow, Flight, Datafusion, and Parquet to lay the foundation of the newest version of his time-series database.

Database 162

Database Technology Data Lake High Quality Data 162

Confluent

APRIL 3, 2019

We can persist this to a new KSQL stream, which populates an Apache Kafka ® topic: ksql> CREATE STREAM PRODUCTS_ENRICHED AS. To configure it, first stop the KSQL server and then open the Apache Log4j configuration file ( etc/ksql/log4j.properties by default). SELECT SKU, CASE WHEN SKU LIKE 'H%' THEN 'Homewares'. ELSE 'Unknown'.

Food 95

Food Kafka Bytes Data Cleanse 95

Confluent

OCTOBER 7, 2019

This tutorial describes how to set up a sample Spring Boot application in Pivotal Application Service (PAS), which consumes and produces events to an Apache Kafka ® cluster running in Pivotal Container Service (PKS). Access the springboot-kafka-avro repo. Clone springboot-kafka-avro and enter the directory. Methodology.

Kafka 18

Kafka Java Coding Accessible 18

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 ®. Confluent Schema Registry provides a serving layer for your metadata and a RESTful interface for storing and retrieving Avro schemas.

Cloud 18

Cloud Kafka Electronics Metadata 18

Data Engineering Podcast

JANUARY 28, 2024

And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

Data Lake 147

Data Lake Building High Quality Data AWS 147

ProjectPro

MAY 12, 2016

Table of Contents SQL-on-Hadoop Tools SQL-on-Hadoop Tool: Apache Hive SQL-on-Hadoop Tool: Cloudera Impala SQL-on-Hadoop Tool: Presto SQL-on-Hadoop Tool: Shark SQL-on-Hadoop Tools A number of SQL–on–Hadoop tools have been developed since then, which allow programmers to utilize their existing SQL expertise on Hadoop data stores.

Hadoop 40

Hadoop SQL Business Intelligence Java 40

Monte Carlo

JULY 7, 2022

For example, most teams didn’t want to use AVRO so we decided to use JSON as the interchange format for the contracts because it’s extensible. The actual data contract itself is typically written in a templated interactive data language (IDL) such as Apache Avro or JSON. We got some great, actionable feedback.

Data Warehouse 52

Data Warehouse Software Engineer Software Engineering Data 52

LinkedIn Engineering

JUNE 15, 2023

To remove this bottleneck, we built AvroTensorDataset , a TensorFlow dataset for reading, parsing, and processing Avro data. Today, we’re excited to open source this tool so that other Avro and Tensorflow users can use this dataset in their machine learning pipelines to get a large performance boost to their training workloads.

Datasets 102

Datasets Bytes Process Data Ingestion 102

Cloudera

MARCH 11, 2022

In this release , the Streams Messaging templates in Data Hub will come with Apache Kafka 2.8 KConnect has been added and gains additional capabilities with new connectors and Stateless Apache NiFi capabilities which can run NiFi Flows as connectors. and Cruise Control 2.5 providing new core features and fixes. New KConnect Connectors.

Cloud 102

Cloud Kafka Utilities Database 102

Confluent

JULY 17, 2019

Together, MongoDB and Apache Kafka ® make up the heart of many modern data architectures today. The official MongoDB Connector for Apache Kafka is developed and supported by MongoDB engineers. The connector, now released in beta, enables MongoDB to be configured as both a sink and a source for Apache Kafka. Getting started.

MongoDB 21

MongoDB Kafka Medical Database 21

ProjectPro

MARCH 10, 2016

Apache Hadoop forms an integral part of the technical environment at LinkedIn that powers some of the commonly used features on the mobile app and desktop site. As of May 6, 2013 –LinkedIn has a team of 407 Hadoop skilled employees. 70% of all Hadoop data deployments at LinkedIn employ key-value access using Voldemort.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40