Confluent

APRIL 10, 2019

Previously in 3 Ways to Prepare for Disaster Recovery in Multi-Datacenter Apache Kafka Deployments , we provided resources for multi-datacenter designs, centralized schema management, prevention of cyclic repetition of messages, and automatic consumer offset translation to automatically resume applications.

Kafka 83

Kafka Metadata Java Cloud 83

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. With the Kafka Integration, users no longer need to build, deploy or operate any infrastructure component on the Kafka side.

Kafka 52

Kafka SQL MongoDB Computer Science 52

Rock the JVM

FEBRUARY 5, 2023

In this article we will see: Why it’s powerful and how it helps democratize Stream Processing and Analytics Understand basic concepts around Streaming and Flink SQL Setup Kafka and Flink Clusters and get started with Flink SQL Understand different kinds of Processing Operators and Functions Different ways of running Flink SQL Queries 1.

SQL 61

SQL Kafka Metadata Database 61

Precisely

JANUARY 25, 2024

To avoid burdening mainframe databases with constant I/O instructions and acknowledgments and prevent latency issues, best practices call for the use of event streaming platforms like Kafka, Amazon Kinesis, Rabbit MQ, or others. This facilitates a continuous streaming approach, allowing for extremely high throughput rates. Best Practice 2.

Metadata 67

Metadata Data Governance Relational Database Government 67

Christophe Blefari

JANUARY 20, 2024

The Rise of the Data Engineer The Downfall of the Data Engineer Functional Data Engineering — a modern paradigm for batch data processing There is a global consensus stating that you need to master a programming language (Python or Java based) and SQL in order to be self-sufficient. workflows (Airflow, Prefect, Dagster, etc.)

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

LinkedIn Engineering

JANUARY 16, 2024

These records held vital metadata linked to the restriction, including essential timestamps. Espresso’s tight integration with LinkedIn’s Brooklin –a near real-time data streaming framework–enabled seamless data streaming through Kafka messages. This surge resulted in a notable increase in restrictions.

Kafka 84

Kafka Relational Database Java Architecture 84

Knowledge Hut

NOVEMBER 28, 2023

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Cloudera

JUNE 16, 2022

In 2015, Cloudera became one of the first vendors to provide enterprise support for Apache Kafka, which marked the genesis of the Cloudera Stream Processing (CSP) offering. Today, CSP is powered by Apache Flink and Kafka and provides a complete, enterprise-grade stream management and stateful processing solution. Who is affected?

Kafka 86

Kafka Manufacturing Data Lake SQL 86

Netflix Tech

MARCH 10, 2023

We built an asset management platform (AMP), codenamed Amsterdam , in order to easily organize and manage the metadata, schema, relations and permissions of these assets. Amsterdam service utilizes various solutions such as Cassandra , Kafka , Zookeeper , EvCache etc. Net, Ruby, Perl etc.). Snippet of the index mapping Fig 4.

Management 103

Management Metadata Digital Media Kafka 103

Picnic Engineering

SEPTEMBER 8, 2022

We use the RabbitMQ Source connector for Apache Kafka Connect. One may wonder why don’t we replace RabbitMQ with Apache Kafka everywhere? In order to answer the first question, we should take a closer look at the difference between RabbitMQ and Apache Kafka in terms of services parallelism.

Kafka 52

Kafka Metadata AWS Java 52

Data Engineering Podcast

DECEMBER 16, 2019

The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform. The metadata repository serves as a data catalog and a means of reporting on the health and status of your datasets when it is properly integrated into the rest of your tools.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is. If you haven’t found your perfect metadata management system just yet, maybe it’s time to try DataHub!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

Kafka 40

Kafka Bytes Big Data Java 40

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.

Database 82

Database Data Lake Metadata Java 82

AltexSoft

JUNE 7, 2021

Apache Hadoop is an open-source framework written in Java for distributed storage and processing of huge datasets. A HDFS Master Node, called a NameNode , keeps metadata with critical information about system files (like their names, locations, number of data blocks in the file, etc.) Hadoop vs Spark differences summarized.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Data Engineering Podcast

AUGUST 6, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. manage versions of vectors, metadata management, etc.) manage versions of vectors, metadata management, etc.)

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Cloudera

MARCH 15, 2023

The record in the “outbox” table contains information about the event that happened inside the application, as well as some metadata that is required for further processing or routing. It is implemented in Java using the Spring framework. It is implemented in Java using the Spring framework.

PostgreSQL 89

PostgreSQL Kafka Database Data 89

Zalando Engineering

NOVEMBER 29, 2017

See Ranking Websites in Real-time with Apache Kafka’s Streams API for the first post in the series. Running Kafka Streams applications in AWS At Zalando, Europe’s leading online fashion platform, we use Apache Kafka for a wide variety of use cases. Our team at Zalando was an early adopter of the Kafka Streams API.

Kafka 40

Kafka AWS Amazon Web Services Utilities 40

Lyft Engineering

JUNE 28, 2023

The interface was designed such that a minimal amount of metadata was needed to construct a pipeline object which performs a given capability. To facilitate this, we created a common interface called RealtimeMLPipeline for defining all real-time ML applications. Note that in the code block we defined a RealtimeMLPipline as pipe.

Machine Learning 115

Machine Learning Building Metadata Kafka 115

Confluent

MAY 29, 2019

In part 1 , we discussed an event streaming architecture that we implemented for a customer using Apache Kafka ® , KSQL from Confluent, and Kafka Streams. In part 3, we’ll explore using Gradle to build and deploy KSQL user-defined functions (UDFs) and Kafka Streams microservices. gradlew composeUp. The KSQL pipeline flow.

Kafka 93

Kafka Management Bytes SQL 93

Big Data Tools

SEPTEMBER 6, 2021

rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! and Java 8 still exists but is deprecated. Reading file metadata is costly because it is an IO operation, which is slow. How cool is that? Support for Scala 2.12

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

AltexSoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. What is Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. This module can ingest live data streams from multiple sources, including Apache Kafka , Apache Flume , Amazon Kinesis , or Twitter, splitting them into discrete micro-batches.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

JANUARY 24, 2023

What is the process for adding metadata to the AWS Glue Data Catalog? There are several ways to add metadata to the AWS Glue Data Catalog using AWS Glue. The Schema Registry supports Java client apps and the Apache Avro and JSON Schema data formats.

AWS 52

AWS Data Lake ETL Tools Scala 52

Big Data Tools

SEPTEMBER 6, 2021

rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! and Java 8 still exists but is deprecated. Reading file metadata is costly because it is an IO operation, which is slow. How cool is that? Support for Scala 2.12

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

Confluent

MAY 21, 2019

The profile service will publish the changes in profiles, including address changes to an Apache Kafka ® topic, and the quote service will subscribe to the updates from the profile changes topic, calculate a new quote if needed and publish the new quota to a Kafka topic so other services can subscribe to the updated quote event.

Kafka 110

Kafka Insurance Architecture Database 110

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Confluent

FEBRUARY 22, 2019

We have delivered an event streaming platform which gives strong guarantees on data quality, using Apache Kafka ® and Protocol Buffers. Because it builds on top of Apache Kafka we decided to call it Franz. We then proceeded to conduct an evaluation of these formats to determine what would work best for transmission of data over Kafka.

Kafka 79

Kafka Programming Language Metadata Data 79

ProjectPro

NOVEMBER 15, 2021

It even allows you to build a program that defines the data pipeline using open-source Beam SDKs (Software Development Kits) in any three programming languages: Java, Python, and Go. CMAK Source: Github CMAK stands for Cluster Manager for Apache Kafka , previously known as Kafka Manager, is a tool for managing Apache Kafka clusters.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

NOVEMBER 7, 2022

However, the platform is compatible with solutions supporting near real-time and real-time analytics — such as Apache Kafka or Apache Spark. Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more. The Good and the Bad of Java Development.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

AltexSoft

SEPTEMBER 21, 2023

It is developed in Java and built upon the highly reputable Apache Lucene library. Each document has unique metadata fields like index , type , and id that help identify its storage location and nature. Solr is written in Java and offers extensive configuration options, allowing for more tailored search solutions.

Engineering 52

Engineering NoSQL Programming Language Java 52

Confluent

AUGUST 1, 2019

The Kafka Streams API boasts a number of capabilities that make it well suited for maintaining the global state of a distributed system. At Imperva, we took advantage of Kafka Streams to build shared state microservices that serve as fault-tolerant, highly available single sources of truth about the state of objects in our system.

Kafka 20

Kafka Systems Building Metadata 20

Cloudera

JANUARY 21, 2022

System metadata is reviewed and updated regularly. Ranger Plugins, lightweight Java plugins for each component designed to pull in policies from the central admin service and stored locally. A zone can be extended to include resources from multiple services such as HDFS, Hive, HBase, Kafka, etc., Sensitive data is encrypted.

Architecture 110

Architecture Transportation Certification Government 110

ProjectPro

NOVEMBER 22, 2021

StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. To define the columns, PySpark offers the pyspark.sql.types import StructField class, which has the column name (String), column type (DataType), nullable column (Boolean), and metadata (MetaData).

Hadoop 52

Hadoop Python Datasets Metadata 52

AltexSoft

OCTOBER 30, 2021

Managing data and metadata. With that in mind, it’s not uncommon for a company to grow their own data scientists from adjacent expertises: analysts, database experts, people with coding experience in Java or C/C++ are often trained in algorithms and models to become data scientists. Statistics and maths. Programming.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98