Cloudera

MARCH 14, 2023

When a draft is ready to be deployed in production, it is published to the Catalog, and can be productionalized with serverless DataFlow Functions for event-driven, micro-bursty use cases or auto-scaling DataFlow Deployments for low latency, high throughput use cases. You want to see how to get data from Kafka and write it to Iceberg?

Data Pipeline 81

Data Pipeline Designing Kafka Metadata 81

Rockset

SEPTEMBER 26, 2023

AI-powered applications almost always need access to real-time data to deliver accurate results in a responsive user experience that the market has come to expect. As smart as ChatGPT appears to be, it can’t summarize current events accurately if it was last trained a year ago and not told what’s happening now.

Metadata 64

Metadata Kafka Cloud Database 64

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.

Kafka 55

Kafka Process Algorithm Cloud 55

Netflix Tech

SEPTEMBER 29, 2022

Timestone clients can create queues, enqueue messages with user-defined deadlines and metadata, then dequeue these messages in an earliest-deadline-first (EDF) fashion. messages that belong to queue X and have metadata Y”) is also supported. Allow for dequeueing and queue depth querying using filters (metadata key-value pairs) 4.

Systems 85

Systems Metadata Media Kafka 85

Cloudera

SEPTEMBER 23, 2020

Comprehensive auditing is provided to enable enterprises to effectively and efficiently meet their compliance requirements by auditing access and other types of operations across OpDB (through HBase). User, business classification of asset accessed. Policy outcome (access or deny). Policy outcome (access or deny).

Database 81

Database Data Lake Metadata Java 81

LinkedIn Engineering

DECEMBER 19, 2023

The framework incorporates proactive measures to monitor critical events, provides deployment insights, and issues proper notifications to enable seamless deployments. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes. Accessibility of all namenodes. 0 missing blocks.

Big Data 92

Big Data Hadoop Metadata Data 92

Cloudera

DECEMBER 9, 2022

This observation further emphasizes the need for universal developer accessibility , which makes sure that developer tooling is easy to use for newcomers while giving power users the advanced options they need. A critical aspect of universal developer accessibility is to provide dataflow development as a self-service offering to developers.

Designing 96

Designing Coding Google Cloud AWS 96

Netflix Tech

JUNE 7, 2021

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs , ELB Access Logs, eBPF flow logs on the instances, etc, we can provide network insight to users and central teams through multiple data visualization techniques like Lumen , Atlas , etc.

Transportation 130

Transportation AWS Cloud Metadata 130

Cloudera

FEBRUARY 9, 2021

A new solution integrating cloud object storage, with Cloudera’s NiFi dataflows, a Kafka datahub, and a Hive virtual warehouse in the CDW service allows businesses to take the best advantage of this public cloud trend. In the real-time layer, Kafka automatically cleans the historical events with configurable retention.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

Cloudera

AUGUST 10, 2021

This integration mechanism does not provide a direct Atlas Hook or Atlas Bridge option to listen to the entity events in Ozone. or higher with Kerberos enabled and admin access to both Ranger and Atlas. For example, my data volume could contain multiple buckets for every stage of the data, and I can control who accesses each stage.

Hadoop 104

Hadoop Kafka Datasets Government 104

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

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

AltexSoft

AUGUST 29, 2023

Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion. This structure is made efficient by data engineering practices that include object storage.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

AUGUST 21, 2020

For example, if a credit card was used in the United States and shortly afterward the same card was used in Spain to withdraw the same amount, these two events in isolation could appear legitimate. However, in the context of time and geography, these two events point to a pattern of fraud.

Banking 60

Banking Kafka Cloud Storage Government 60

Striim

JANUARY 4, 2023

When your applications access data from each other, it can cause high coupling, i.e., applications are highly interdependent on each other. On a technical level, data contracts handle schemas of entities and events. Maybe, you first load data into a data warehouse and later go on to load data into a data lake. temperature).

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

DoorDash Engineering

DECEMBER 5, 2023

DoorDash’s Engineering teams revamped Kafka Topic creation by replacing a Terraform/Atlantis based approach with an in-house API, Infra Service. DoorDash’s Real-Time Streaming Platform, or RTSP, team is under the Data Platform organization and manages over 2,500 Kafka Topics across five clusters.

Kafka 91

Kafka Programming Language Metadata Architecture 91

Cloudera

OCTOBER 28, 2020

For example Cyber teams may find more value in logs that outline user behaviour when accessing the data, whilst operational teams may prefer logs that show the spikes in load time throughout the day. These processors will be dedicated to specific services that you would want to target, e.g. HDFS, YARN, Apache Kafka, Hive, Impala, etc.

Kafka 64

Kafka SQL Professional Services Consulting 64

Confluent

MAY 7, 2019

Every developer who uses Apache Kafka ® has used a Kafka consumer at least once. Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Consistency.

Kafka 111

Kafka Accessible Accessibility Metadata 111

dbt Developer Hub

NOVEMBER 3, 2022

Let’s discuss how to convert events from an event-driven microservice architecture into relational tables in a warehouse like Snowflake. Quality problems lead to first responders unable to check into disaster sites or parents unable to access ESA funds. So our solution was to start using an intentional contract: Events.

Kafka 52

Kafka ETL Tools BI Database 52

Rockset

NOVEMBER 7, 2018

Amazon S3) and Event Streams (e.g. Once identified, the transformation of such a caching system to a CNDB requires that this persistent state be mapped on to Cloud Storage constructs so that it can be accessed by remote workers. Two in particular, REST-based Object Storage (e.g.

Database 40

Database Cloud Cloud Storage MySQL 40

Scott Logic

APRIL 22, 2024

In my previous blog post I looked at various technologies for sending data asynchronously between services including RabbitMQ, Kafka, AWS EventBridge. I’ve coloured the data entities according to their types and we see there’s a few different patterns like events and state which we’ll discuss in a moment.

AWS 52

AWS Metadata Systems Kafka 52

Rockset

MARCH 18, 2024

While it's well-known that Flink excels at filtering, joining and enriching streaming data from Apache Kafka® or Confluent Cloud , what is less known is that it is increasingly becoming ingrained in the end-to-end stack for AI-powered applications. These additional inputs are referred to as metadata filtering. What is RAG?

Cloud 64

Cloud Building Metadata Kafka 64

Rockset

JULY 21, 2020

Metadata services used for service discovery are close to the bottom of that stack and they need to provide 1 or 2 orders of magnitude higher reliability than any service built on top of that. Data quality, traceability, governance, access control are all superior with data APIs than data dumps. Embrace real-time services.

Data Architecture 40

Data Architecture Architecture Building Programming Language 40

Confluent

MAY 9, 2019

Event-first thinking enables us to build a new atomic unit: the event. Four pillars of event streaming. Pillar 4 – Operational plane: Event logging, DLQs and automation. To read the other articles in this series, see: Journey to Event Driven – Part 1: Why Event-First Thinking Changes Everything.

Kafka 93

Kafka Pipeline-centric Architecture Database-centric 93

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?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Confluent

APRIL 11, 2019

This explains why users have been looking for a reliable way to stream their data from Apache Kafka ® to S3 since Kafka Connect became available. In March 2017, we released the Kafka Connect S3 connector as part of the Confluent Platform. And no one likes missing events. So, it happened. How about we take it for a spin?

Kafka 110

Kafka AWS Metadata Architecture 110

Data Engineering Podcast

MAY 18, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. High-growth startups use Molecula’s feature store because of its unprecedented speed, cost savings, and simplified access to all enterprise data.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

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. Real-time or near real-time replication is most common. Best Practice 2. Best Practice 3.

Metadata 69

Metadata Data Governance Relational Database Government 69

Confluent

MAY 21, 2019

However, this bit of business logic really isn’t very relevant to the job of a service that provides simple access to the profile database, and it really shouldn’t be their responsibility. This leads us to event streaming microservices patterns. Now that the profile change event is published, it can be received by the quote service.

Kafka 110

Kafka Insurance Architecture Database 110

LinkedIn Engineering

JANUARY 16, 2024

When malicious intent is detected, we are swift to respond, employing a range of measures such as imposing challenges to verify authenticity, and in certain cases, restricting a member’s access to the LinkedIn platform. These records held vital metadata linked to the restriction, including essential timestamps.

Kafka 84

Kafka Relational Database Java Architecture 84

ProjectPro

JULY 8, 2021

A detailed introduction to Apache Kafka Architecture, one of the most popular messaging systems for distributed applications. Kafka Streams and Kafka Connect were used to keep track of the threat of the COVID-19 virus and analyze the data for a more thorough response on local, state, and federal levels.

Kafka 40

Kafka Architecture IT Big Data 40

Towards Data Science

FEBRUARY 9, 2024

Streaming Kafka/ Confluent is king when it comes to data streaming, but working with streaming data introduces a number of new considerations beyond topics, producers, consumers, and brokers, such as serialization, schema registries, stream processing/transformation and streaming analytics.

Building 82

Building Transportation Data Lake Metadata 82

Picnic Engineering

SEPTEMBER 8, 2022

Almost all internal services emit events over RabbitMQ. Our pipeline captures these events and sends them to Confluent Cloud. We use the RabbitMQ Source connector for Apache Kafka Connect. RabbitMQ We have already mentioned that RabbitMQ is used as the main inter-service communication event bus at Picnic.

Kafka 52

Kafka Metadata AWS Java 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. Avro was an intriguing option, particularly because of Confluent’s support for this on Kafka.

Kafka 80

Kafka Programming Language Metadata Data 80

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

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. Since the 2.0

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Cloudera

JANUARY 21, 2022

The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Authentication is first configured to ensure that users and services can access the cluster only after proving their identities. Auditing procedures keep track of who accesses the cluster (and how).

Architecture 107

Architecture Transportation Certification Government 107