Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide

•

0 j'aime•82 vues

The slide that goes with the workshop. - Demonstrate Transitioning to Real-Time Data Systems: This track shows how to transition from traditional batch processing to real-time data handling, emphasizing the critical importance of timely updates in scenarios like air traffic control where delays can be hazardous. - Implement Real-Time Data Solutions: Participants learn to implement and integrate a technology stack featuring Apache Spark, Cassandra, and PostgreSQL to effectively manage and process live data feeds from various sources, suitable for high-stakes environments. - Employ Streaming and Data Capture Technologies: The workshop demonstrates how to utilize streaming platforms and Change Data Capture (CDC) with tools like Redpanda and Debezium to ensure continuous data flow and immediate update capture, streamlining operations and data accuracy. - Apply Data Querying Techniques: It concludes by teaching how to apply advanced querying methods using Flink’s SQL client to incorporate real-time data queries into existing systems, ensuring efficient data manipulation and integration into relational and NoSQL databases.

Logiciels

B A T C H
T O
S T R E A M
D A T A P I P E L I N E
Christina Lin
Redpanda
Developer Advocate

Agenda
• Quick Intro – 10-15 mins
• HANDS-ON – 35-40 mins
• Q & A – 5-10 mins
© 2024 REDPANDA DATA

Christina Lin
Developer Advocate, Redpanda
aka. The Redpanda Lady
SOA
WebSphere
DB2
Sybase
Oracle
MQ
J2EE
EJB
DevOps
Microservice
EIP
K8s
Agile
Integration
Data
Mesh
Active MQ
Living data stack
Resilience - handle failures and scale gracefully
Elasticity – infrastructure that can scale dynamically
Decentralization - data ownership, empowering
individual teams
Performance - low latency and high throughput
Autonomy – self service, define quality, and access
Nimble - efficient data movement
Distributed -distributed data processing for cloud native
Agility – quickly respond to change in data
© 2024 REDPANDA DATA

© 2024 REDPANDA DATA
An ordinary day of Data Engineer

© 2024 REDPANDA DATA
© 2024 REDPANDA DATA
Stateless
Streaming Pipeline
Transform
format Change, masking, filtering, validating
Dispatch, Wiretap
Spilt, multiple destination
Control
reroute
Normalize/ Denormalize Enrich
Multiple ingestion
Stateful
Streaming Pipeline
Complex event processing
Time-window based processing
Enrich
Multiple ingestion
Micro batch Pipeline
Transform for large output (Dataset)
Partitioning Split workload
Analytics
batch
Pipeline
Analytics large volume (legacy)
Transform large output (Dataset, legacy)
Transport large unstructured data
Better scalability for pipelines

Batch
Every 10 mins
CSV
Right away!
CSV
CSV
Stream
Batch
pipeline
Batch Processing
Batch
pipeline
TheWorkshop overview
© 2024 REDPANDA DATA

Batch
Every 10 mins
Right away!
CSV
CSV
Stream
Batch
pipeline
Batch Processing
Batch
pipeline
TheWorkshop overview
© 2024 REDPANDA DATA
CSV

VM
cassandra:5432
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
The Batch
Setup & Load data
postgres:5432
Table
public.bos_air_traffic
jupyterlab:8888
postgresload.ipynb

VM
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
Setup
cassandraload.ipynb
Table
latest_flight_data
cassandra:5432
The Batch

VM
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
CSV
CSV
CSV
spark.ipynb
The Batch

VM
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
CSV
CSV
CSV
Map.ipynb
The Batch

VM
© 2024 REDPANDA DATA
https://bit.ly/osdc-redpanda
Let’s Stream
redpanda-0:9092
console:8080

VM
© 2024 REDPANDA DATA
https://bit.ly/osdc-redpanda
kafka-connect:8083
Let’s Stream

VM
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
Config
Topic:
boston.public.bos_air_traffic
Table
public.bos_air_traffic
Let’s Stream

VM
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
jobmanager:8081
Topic:
boston.public.bos_air_traffic
Flink Data
Stream
Java JAR
Let’s Stream

VM
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
CSV
CSV
CSV
Topic:
sensor_csv
Topic:
Sensor_csv
Let’s Stream

VM
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
Let’s Stream
CSV
CSV
CSV
Topic:
sensor_csv
rpk
redpanda-0:9644
Topic:
filtered_sensor_csv

VM
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
CSV
CSV
CSV
Topic:
sensor_csv
SQL
SQL
Client
Let’s Stream

Batch
CSV
Batch
pipeline
Batch
pipeline
Batch Processing
Every 10 mins
CSV
Right away!
CSV
Stream
© 2024 REDPANDA DATA
https://bit.ly/odsc-redpanda
TheWorkshop overview

© 2024 REDPANDA DATA
Stateless
Streaming Pipeline
Transform
format Change, masking, filtering, validating
Dispatch, Wiretap
Spilt, multiple destination
Control
reroute
Normalize/ Denormalize Enrich
Multiple ingestion
Stateful
Streaming Pipeline
Complex event processing
Time-window based processing
Enrich
Multiple ingestion
Better scalability for pipelines

© 2024 REDPANDA DATA
Keep Learning
Streaming - Communication
Basics of K8s networking
Connectivity
Performance
Docs
Get a peak under the hood.
https://docs.redpanda.com/
Blogs
Keep up to date with Redpanda.
https://redpanda.com/blog
Slack
Engage with our community.
https://redpanda.com/slack
Code
Check out the source.
https://github.com/redpanda-data
Redpanda University
Free, self-paced online learning
https://university.redpanda.com

Contenu connexe

Similaire à Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide

Virtualized Big Data Platform at VMware Corp IT @ VMWorld 2015

Rajit Saha

Not all workloads allow cloud computing. Low latency, cybersecurity, and cost-efficiency require a suitable combination of edge computing and cloud integration. This session explores architectures and design patterns for software and hardware considerations to deploy hybrid data streaming with Apache Kafka anywhere. A live demo shows data synchronization from the edge to the public cloud across continents with Kafka on Hivecell and Confluent Cloud.

Kafka for Real-Time Replication between Edge and Hybrid Cloud

Kai Wähner

Visual Mapping of Clickstream Data

DataWorks Summit

To remain competitive, organizations need to democratize access to fast analytics, not only to gain real-time insights on their business but also to power smart apps that need to react in the moment. In this session, you will learn how Kafka and SingleStore enable modern, yet simple data architecture to analyze both fast paced incoming data as well as large historical datasets. In particular, you will understand why SingleStore is well suited process data streams coming from Kafka.

SingleStore & Kafka: Better Together to Power Modern Real-Time Data Architect...

HostedbyConfluent

Organizations are quickly adopting microservice architectures to achieve better customer service and improve user experience while limiting downtime and data loss. However, transitioning from a monolithic architecture based on stateful databases to truly stateless microservices can be challenging and requires the right set of solutions. In this webinar, learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®. They will show you how to implement these solutions through a real-world demo use case of microservice adoption. You will learn: -How log-based change data capture (CDC) converts database tables into event streams -How Kafka serves as the central nervous system for microservices -How the transition to microservices can be realized without throwing away your legacy infrastructure

Modernizing your Application Architecture with Microservices

confluent

Patience with Apache Cassandra’s volatile latencies was wearing thin at Rakuten, a global online retailer serving 1.5B worldwide members. The Rakuten Catalog Platform team architected an advanced data platform – with Cassandra at its core – to normalize, validate, transform, and store product data for their global operations. However, while the business was expecting this platform to support extreme growth with exceptional end-user experiences, the team was battling Cassandra’s instability, inconsistent performance at scale, and maintenance overhead. So, they decided to migrate. Join this webinar to hear a firsthand account of: How specific Cassandra challenges were impacting the team and their product How they determined whether migration would be worth the effort What processes they used to evaluate alternative databases What their migration required from a technical perspective Strategies (and lessons learned) for your own database migration

Eliminating Volatile Latencies Inside Rakuten’s NoSQL Migration

ScyllaDB

Track 2, session 4, data protection and disaster recovery with riverbed

EMC Forum India

This hands on workshop for OpenContrail will be led by Sreelakshmi Sarva & Aniket Daptari. This is a labs session so we will have hard RSVP limits. Please RSVP only if you are confident that you will be able to attend. About Sreelakshmi Sarva Sree is currently working as part of solution engineering team at Juniper’s Contrail team. She is responsible for delivering & managing SDN solutions & partnerships relating to Contrail. She has been with Juniper for the last 13 years working on various Routing, Switching, Network programmability & virtualization platforms. Prior to Juniper, She worked at Nortel networks in the Systems Engineering group. Sree received her Masters in Computer Science from University of Texas at Dallas and Bachelor’s in Computer Science from India. About Aniket Daptari Aniket is currently working as part of Juniper Networks' Contrail Cloud Solutions team. He is responsible for delivering SDN solutions and technology partnerships related to Contrail. He has been with Juniper for the last 3 years working on various Network programmability & virtualization platforms. Prior to Juniper, he worked at Cisco Systems in the Internet Systems Business Unit (Catalyst 6500). Aniket received his Masters in Computer Science from University of Southern California and a graduate certificate in Management Science and Engineering from Stanford University. Course Abstract This session will be the first of a series of OpenContrail hands-on tutorials for developers who want to get deep into OpenContrail code. This “Basic OpenContrail Programming” Hands-on Session will focus on making developers proficient in writing and contributing code for our OpenContrail Project. Session will cover the following areas 1) Contrail Overview · Use Cases · Architecture recap 2) Contrail Hands on · Demo + Hands on - Configuration , VN, VM, Network Policies etc · DevStack introduction

Banv meetup-contrail

nvirters

Will LaForest is the Public Sector CTO for Confluent. In his current position, Will evangelizes the benefits of Apache Kafka, event-driven data in motion architecture, and open-source software is addressing mission challenges in the Government. He has spent 25 years wrangling data at massive scale. His technical career spans diverse areas from software engineering, NoSQL, data science, cloud computing, machine learning, and building statistical visualization software but began with code slinging at DARPA as a teenager. Will holds degrees in mathematics and physics from the University of Virginia. To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.

Scylla Summit 2022: An Odyssey to ScyllaDB and Apache Kafka

ScyllaDB

Traditional mobile networks are based on stand-alone Base Transceiver Stations covering a radio area. BTS overlap to provide a wide coverage to mobile users and are connected to the mobile core network through a backhaul network. Cloud Radio Access Network is a new architecture for mobile access networks that rely on simple radio front-ends connected to a pool of remote network resources. By leveraging cloud infrastructures, CAPEX and OPEX is lowered substantially.

6WINDGate™ - Enabling Cloud RAN Virtualization

6WIND

Are you interested in learning how to schedule batch jobs in container runtimes? Maybe you’re wondering how to apply continuous delivery in practice for data-intensive applications? Perhaps you’re looking for an orchestration tool for data pipelines? Questions like these are common, so rest assured that you’re not alone. In this webinar, we’ll cover the recent feature improvements in Spring Cloud Data Flow. More specifically, we’ll discuss data processing use cases and how they simplify the overall orchestration experience in cloud runtimes like Cloud Foundry and Kubernetes. Please join us and be part of the community discussion! Presenters : Sabby Anandan, Product Manager Mark Pollack, Software Engineer, Pivotal

Cloud-Native Patterns for Data-Intensive Applications

VMware Tanzu

Analyzing transactional data is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever-increasing storage. Although there are many techniques available for loading data, getting effective data in real-time into your data warehouse store is a more difficult problem. VMware Continuent provides capabilities for continuous and real-time data warehouse loading. Join us for practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently when replicating from MySQL and Oracle into Amazon Redshift, HP Vertica and Hadoop

Replication in real-time from Oracle and MySQL into data warehouses and analy...

Continuent

Replication in real-time from Oracle and MySQL into data warehouses and analy...

Continuent

Analyzing transactional data is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever increasing storage. Although there are many techniques available for loading data, getting effective data in real-time into your data warehouse store is a more difficult problem. In this webinar we showcase VMware Continuent's capabilities for continuous and real-time data warehouse loading. We'll share practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently.

Real-time Data Loading from Oracle and MySQL to Data Warehouses, Analytics

Continuent

EsgynDB: A Big Data Engine. Simplifying Fast and Reliable Mixed Workloads

Srikanth Ramakrishnan

Cardinality-HL-Overview

Harry Frost

With all the hype around Cloud and SDN, business decision makers are finding themselves trying to navigate through many new concepts and consequently needing to change the way they have traditionally selected their IT infrastructure. Technologies are now becoming more integrated and it is more important than ever to help your business be agile enough to keep up with the demands of your users and your customers. Come hear from Lisa Guess to learn how organizations can embrace Cloud technologies such as automation, SDN and Orchestration platforms to help you build next-generation networks.

Lisa Guess - Embracing the Cloud

centralohioissa

Cisco at v mworld 2015 theater presentation brfarnha

ldangelo0772

Forward Networks - Networking Field Day 13 presentation

Andrew Wesbecher

SimplifyStreamingArchitecture

Maheedhar Gunturu

Similaire à Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide (20)

Virtualized Big Data Platform at VMware Corp IT @ VMWorld 2015

Kafka for Real-Time Replication between Edge and Hybrid Cloud

Visual Mapping of Clickstream Data

SingleStore & Kafka: Better Together to Power Modern Real-Time Data Architect...

Modernizing your Application Architecture with Microservices

Eliminating Volatile Latencies Inside Rakuten’s NoSQL Migration

Track 2, session 4, data protection and disaster recovery with riverbed

Banv meetup-contrail

Scylla Summit 2022: An Odyssey to ScyllaDB and Apache Kafka

6WINDGate™ - Enabling Cloud RAN Virtualization

Cloud-Native Patterns for Data-Intensive Applications

Replication in real-time from Oracle and MySQL into data warehouses and analy...

Real-time Data Loading from Oracle and MySQL to Data Warehouses, Analytics

EsgynDB: A Big Data Engine. Simplifying Fast and Reliable Mixed Workloads

Cardinality-HL-Overview

Lisa Guess - Embracing the Cloud

Cisco at v mworld 2015 theater presentation brfarnha

Forward Networks - Networking Field Day 13 presentation

SimplifyStreamingArchitecture

Plus de Christina Lin

Bangalore Meetup - Enable realtime machine learning with streaming data

Christina Lin

Kafka summit apac session

Christina Lin

Serverless integration anatomy

Christina Lin

Day in the life event-driven workshop

Christina Lin

Agile integration cloud native developement

Christina Lin

Dev conf .in cloud native reference architecture .advance

Christina Lin

Camel k Taiwan Java user group

Christina Lin

Devoxxma-API centric microservices Architecture

Christina Lin

JBoss Fuse - Fuse workshop EAP container

Christina Lin

Red Hat Tech Exchange Integration often involves storing, retrieving, and transforming data. Using a traditional database in your integration is likely to becomes a bottleneck that is expensive and hard to scale. By combining the agile, lightweight, Enterprise Integration pattern (EIP) based integrations using open source technology with scalable in-memory storage, it’s possible to achieve near linear scalability and boost performance of your integration services.

Supercharge Your Integration Services

Christina Lin

Improve business process with microservice integration

Christina Lin

Integrating BPM with Fuse

Christina Lin

Scalable Integration with JBoss Fuse

Christina Lin

JBoss Fuse - Fuse workshop Error Handling

Christina Lin

JBoss Fuse Workshop 101 part 6

Christina Lin

JBoss Fuse Workshop 101 part 5

Christina Lin

JBoss Fuse Workshop 101 part 4

Christina Lin

JBoss Fuse Workshop 101 part 3

Christina Lin

JBoss Fuse Workshop 101 part 2

Christina Lin

Jboss Fuse Workshop 101 part 1

Christina Lin

Plus de Christina Lin (20)

Bangalore Meetup - Enable realtime machine learning with streaming data

Kafka summit apac session

Serverless integration anatomy

Day in the life event-driven workshop

Agile integration cloud native developement

Dev conf .in cloud native reference architecture .advance

Camel k Taiwan Java user group

Devoxxma-API centric microservices Architecture

JBoss Fuse - Fuse workshop EAP container

Supercharge Your Integration Services

Improve business process with microservice integration

Integrating BPM with Fuse

Scalable Integration with JBoss Fuse

JBoss Fuse - Fuse workshop Error Handling

JBoss Fuse Workshop 101 part 6

JBoss Fuse Workshop 101 part 5

JBoss Fuse Workshop 101 part 4

JBoss Fuse Workshop 101 part 3

JBoss Fuse Workshop 101 part 2

Jboss Fuse Workshop 101 part 1

Dernier

“I think, therefore I am.” From the moment we arrived on this chaotic planet, we began learning (even before that, actually, but let’s ignore that for now). Every day, we learn: good patterns, bad patterns—the brain doesn’t differentiate! However, for us to simply say, “I learn while I do,” might be a bit too easy. Or, at least, one might wonder if it’s the most efficient and satisfying way to learn. During this talk, you'll learn how our brains absorb and retain new information. Afterward, we’ll explore how you can create the best conditions and environment for your specific learning needs. Among other things, we’ll cover what has scientifically been proven to be the ideal learning blocks regarding time and content. We’ll discover how to create an environment that improves our focus and remain in the “flow.” And we’ll discuss the profound impact of AI on the entire learning landscape. As we navigate the ever-changing landscape of software development, this knowledge will empower you to enhance your own learning curve and, just as importantly, extend a helping hand to those on their own learning path.

Wired_2.0_CREATE YOUR ULTIMATE LEARNING ENVIRONMENT_JCON_16052024

SimonedeGijt

OpenChain Webinar: AboutCode and Beyond - End-to-End SCA

Shane Coughlan

Unlock the full potential of your software development lifecycle with SpiraPlan's powerful REST APIs. Led by experts from Inflectra and our partner, MVerve, this webinar offers a practical guide to leveraging the API's power for automation, integration, and data-driven insights. Whether you're an API expert or beginner, our recap blog is packed with valuable information to enhance your SpiraPlan experience. The webinar emphasized how SpiraPlan's REST API allows you to: • Automate Workflows: Streamline your processes by automating repetitive tasks. • Integrate with Existing Tools: Seamlessly connect SpiraPlan with your existing software ecosystem. • Build Custom Solutions: Tailor SpiraPlan to your unique needs by developing custom applications and integrations. • Gain Deeper Insights: Extract valuable data from SpiraPlan for advanced reporting and analysis.

From Theory to Practice: Utilizing SpiraPlan's REST API

Inflectra

Abortion Clinic in Bloemfontein [(+27832195400*)]🏥Safe Abortion Pills In Bloe...

Medical / Health Care (+971588192166) Mifepristone and Misoprostol tablets 200mg

Novo Nordisk: When Knowledge Graphs meet LLMs

Neo4j

Abortion Clinic In Pongola ](+27832195400*)[ 🏥 Safe Abortion Pills In Pongola...

Medical / Health Care (+971588192166) Mifepristone and Misoprostol tablets 200mg

Abortion Pill Prices Mthatha (@](+27832195400*)[ 🏥 Women's Abortion Clinic In...

Medical / Health Care (+971588192166) Mifepristone and Misoprostol tablets 200mg

CERVED e Neo4j su una nuvola, migrazione ed evoluzione di un grafo mission cr...

Neo4j

Artyushina_Guest lecture_YorkU CS May 2024.pptx

AnnaArtyushina1

Evolving Data Governance for the Real-time Streaming and AI Era

confluent

Modern binary build systems - PyCon 2024

Henry Schreiner

Abortion Clinic In Stanger ](+27832195400*)[ 🏥 Safe Abortion Pills In Stanger...

Medical / Health Care (+971588192166) Mifepristone and Misoprostol tablets 200mg

Alluxio Monthly Webinar May. 14, 2024 For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - ChanChan Mao (Developer Advocate, Alluxio) - Bin Fan (VP of Technology, Alluxio) Running AI/ML workloads in different clouds present unique challenges. The key to a manageable multi-cloud architecture is the ability to seamlessly access data across environments with high performance and low cost. This webinar is designed for data platform engineers, data infra engineers, data engineers, and ML engineers who work with multiple data sources in hybrid or multi-cloud environments. Chanchan and Bin will guide the audience through using Alluxio to greatly simplify data access and make model training and serving more efficient in these environments. You will learn: - How to access data in multi-region, hybrid, and multi-cloud like accessing a local file system - How to run PyTorch to read datasets and write checkpoints to remote storage with Alluxio as the distributed data access layer - Real-world examples and insights from tech giants like Uber, AliPay and more

Alluxio Monthly Webinar | Simplify Data Access for AI in Multi-Cloud

Alluxio, Inc.

GraphSummit Milan - Visione e roadmap del prodotto Neo4j

Neo4j

QUICCK 100% in Gauteng/Western Cape *[☎️+27737758557]]@ @# SOWETO@+27737758557 ABORTION PILLS FOR SALE IN STELLENBOSCH CLINIC/WESTERN CAPE cape … CAPE TOWN CLINIC/WESTERN CAPE BELLVILLE LANGA PAROW cape town bellville cape town bellville langa parow khayelitsha gugulethu elies river kraaifontein good wood capetown DR.SINDY +27737758557// abortion clinics// pills WOMEN ABORTION CLINICS PAINFREE,SAFE,QUICCK 100% in western cape +27737758557 Sindy @ABORTION PILLS FOR SALE IN STELLENBOSCH CLINIC/WESTERN CAPE cape … CAPE TOWN CLINIC/WESTERN CAPE BELLVILLE LANGA PAROW cape town bellville cape town bellville langa parow khayelitsha gugulethu elies river kraaifontein good wood capetown bellville.maitland.belhar. aarl, Wellington, Betty’s Bay, Atlantis, Blue Down, Brackenfell, Crossroads, Eerste Rivier, Elsie’s River, Fish Hoek, Goodwood, Gordon’s Bay, Gugulethu,DR EVE +27737758557 // abortion clinics// pills WOMEN ABORTION CLINICS PAINFREE,SAFE,QUICCK 100% in western cape +27737758557 JAULANI@ABORTION PILLS FOR SALE IN STELLENBOSCH CLINIC/WESTERN CAPE cape … CAPE TOWN CLINIC/WESTERN CAPE BELLVILLE LANGA PAROW cape town bellville cape town bellville langa parow khayelitsha gugulethu elies river kraaifontein good wood capetown bellville.maitland.belhar. aarl, Wellington, Betty’s Bay, Atlantis, Blue Down, Brackenfell, Crossroads, Eerste Rivier, Elsie’s River, Fish Hoek, Goodwood, Gordon’s Bay, Gugulethu, Hout Bay, Khayelitsha, Kraainfontein, Kuils River, Langa, Melkbosstrand, Mfuleni, Milnerton, Mitchell’s Plain, Noordhoek, Nyanga, Parow, Kleinmond, Simon’s town, Somerset west, stellenbosch, Ashton Bonnievale Ceres De Doorns Denneburg Franschhoek Gouda Kayamandi Klapmuts Kylemore Languedo cMcGregor Montagu Op-die-Berg Paarl Pniel Prince Alfred Hamlet Rawsonville Robertson Robertsvlei Rozendal Saron Stellenbosch Touws River Tulbagh Wellington Wemmershoek Wolseley Worcester langa parow khayelitsha gugulethu elies river kraaifontein good wood capetown bellville. Ashton Bonnievale Ceres De Doorns Denneburg Franschhoek Gouda Kayamandi Klapmuts Kylemore Languedoc McGregor Montagu Op-die-Berg Paarl Pniel Prince Alfred Hamlet Rawsonville Robertson Robertsvlei Rozendal Saron Stellenbosch Touws River Tulbagh Wellington Alexandra · Diepsloot · Ennerdale ; Alberton · Bedfordview · Benoni ; Atteridgeville · Bronberg · Mogapeng · Mogodumo · Mogwadi · Mohlake · Mohlarekoma · Mohlatsengwane · Mohlopi · Mohlopi · Mohlakeng · Mohwelere · Mokgoatsane · Mokopane. Makhado · Bela-Bela · Hoedspruit · Haenertsburg · Lephalale (Ellisras) · Phalaborwa · Polokwane (Pietersburg) · Tzaneen.Hoedspruit · Hoedspruit. #1 – Hoedspruit ; Haenertsburg · Haenertsburg. #2 – Haenertsburg ; Tzaneen · Tzaneen. Polokwane, Louis Trichardt, Mahwelereng, Giyani, Limpopo,

Abortion Pills For Sale WhatsApp[[+27737758557]] In Birch Acres, Abortion Pil...

drm1699

Abortion Pill Prices Aliwal North ](+27832195400*)[ 🏥 Women's Abortion Clinic...

Medical / Health Care (+971588192166) Mifepristone and Misoprostol tablets 200mg

Abortion Pill Prices Jane Furse ](+27832195400*)[🏥Women's Abortion Clinic in Jane Furse ● Abortion Pills For Sale in Jane Furse ● Jane Furse 🏥🚑!! Abortion Clinic Near Me Cost, Price, Women's Clinic Near Me, Abortion Clinic Near, Abortion Doctors Near me, Abortion Services Near Me, Abortion Pills Over The Counter, Abortion Pill Doctors' Offices, Abortion Clinics, Abortion Places Near Me, Cheap Abortion Places Near Me, Medical Abortion & Surgical Abortion, approved cyctotec pills and womb cleaning pills too plus all the instructions needed This Discrete women’s Termination Clinic offers same day services that are safe and pain free, we use approved pills and we clean the womb so that no side effects are present. Our main goal is that of preventing unintended pregnancies and unwanted births every day to enable more women to have children by choice, not chance. We offer Terminations by Pill and The Morning After Pill.” Our Private VIP Abortion Service offers the ultimate in privacy, efficiency and discretion. we do safe and same day termination and we do also womb cleaning as well its done from 1 week up to 28 weeks. We do delivery of our services world wide SAFE ABORTION CLINICS/PILLS ON SALE WE DO DELIVERY OF PILLS ALSO Abortion clinic at very low costs, 100% Guaranteed and it’s safe, pain free and a same day service. It Is A 45 Minutes Procedure, we use tested abortion pills and we do womb cleaning as well. Alternatively the medical abortion pill and womb cleansing !!

Abortion Pill Prices Jane Furse ](+27832195400*)[🏥Women's Abortion Clinic in ...

Medical / Health Care (+971588192166) Mifepristone and Misoprostol tablets 200mg

Nearly a decade ago, a small group of menders (and one maker) found community with each other at a conference and Legacy Code Rocks was born. Since then, the Legacy Code Rocks community has grown to over 1000 people, 150 podcast episodes, a weekly meetup and of course, MenderCon. In this talk, Andrea Goulet, the maker who kindled the spark, will take us back to those early days and reflect on how the bedrock of the Legacy Code Rocks community has always been creating a sense of belonging. Compassion and empathy are at the core of being a mender. Mending is caring deeply, seeing potential, and being willing to work through the frustration of making things better one small step at a time. This commitment to helping others feel seen instead of shame is why the Legacy Code Rocks community is so special — and it’s exactly why having the heart of the mender is what our world needs now more than ever.

Community is Just as Important as Code by Andrea Goulet

Andrea Goulet

BusinessGPT is a solution addressing security and governance requirements for using or deploying Generative AI. The core offering includes a unique real-time Firewall that mitigates AI risks by controlling AI usage, such as ChatGPT/Copilot and local AI services. BusinessGPT also provides a complete end-to-end Private/ On-prem AI solution for highly regulated companies, ensuring zero data exposure. The solution allows users to securely ask questions and responsibly use insights from all company data.

BusinessGPT - Security and Governance for Generative AI

AGATSoftware

This session unveils the multifaceted horizontal scaling strategies that power Wix's robust infrastructure. From Kafka consumer scaling and dynamic traffic routing for site segments to DynamoDB sharding and MySQL clusters custom routing with ProxySQL, we dissect the mechanisms that ensure scalability and performance at Wix. Attendees will learn about the art of sharding and routing key selection across different systems, and how to apply these strategies to their own infrastructure. We'll share insights into choosing the right scaling strategy for various scenarios, balancing between managed services and custom solutions. Key Takeaways: - Grasp various sharding techniques and routing strategies used at Wix. - Understand key considerations for sharding key and routing rule selection. - Learn when and why to choose specific horizontal scaling strategies. - Gain practical knowledge for applying these strategies to achieve scalability and high availability. Join us to gain a blueprint for scaling your systems horizontally, drawing from Wix's proven practices.

Effective Strategies for Wix's Scaling challenges - GeeCon

Natan Silnitsky

Dernier (20)

Wired_2.0_CREATE YOUR ULTIMATE LEARNING ENVIRONMENT_JCON_16052024

OpenChain Webinar: AboutCode and Beyond - End-to-End SCA

From Theory to Practice: Utilizing SpiraPlan's REST API

Abortion Clinic in Bloemfontein [(+27832195400*)]🏥Safe Abortion Pills In Bloe...

Novo Nordisk: When Knowledge Graphs meet LLMs

Abortion Clinic In Pongola ](+27832195400*)[ 🏥 Safe Abortion Pills In Pongola...

Abortion Pill Prices Mthatha (@](+27832195400*)[ 🏥 Women's Abortion Clinic In...

CERVED e Neo4j su una nuvola, migrazione ed evoluzione di un grafo mission cr...

Artyushina_Guest lecture_YorkU CS May 2024.pptx

Evolving Data Governance for the Real-time Streaming and AI Era

Modern binary build systems - PyCon 2024

Abortion Clinic In Stanger ](+27832195400*)[ 🏥 Safe Abortion Pills In Stanger...

Alluxio Monthly Webinar | Simplify Data Access for AI in Multi-Cloud

GraphSummit Milan - Visione e roadmap del prodotto Neo4j

Abortion Pills For Sale WhatsApp[[+27737758557]] In Birch Acres, Abortion Pil...

Abortion Pill Prices Aliwal North ](+27832195400*)[ 🏥 Women's Abortion Clinic...

Abortion Pill Prices Jane Furse ](+27832195400*)[🏥Women's Abortion Clinic in ...

Community is Just as Important as Code by Andrea Goulet

BusinessGPT - Security and Governance for Generative AI

Effective Strategies for Wix's Scaling challenges - GeeCon

Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide

1. B A T C H T O S T R E A M D A T A P I P E L I N E Christina Lin Redpanda Developer Advocate

3. Christina Lin Developer Advocate, Redpanda aka. The Redpanda Lady SOA WebSphere DB2 Sybase Oracle MQ J2EE EJB DevOps Microservice EIP K8s Agile Integration Data Mesh Active MQ Living data stack Resilience - handle failures and scale gracefully Elasticity – infrastructure that can scale dynamically Decentralization - data ownership, empowering individual teams Performance - low latency and high throughput Autonomy – self service, define quality, and access Nimble - efficient data movement Distributed -distributed data processing for cloud native Agility – quickly respond to change in data © 2024 REDPANDA DATA

5. © 2024 REDPANDA DATA © 2024 REDPANDA DATA Stateless Streaming Pipeline Transform format Change, masking, filtering, validating Dispatch, Wiretap Spilt, multiple destination Control reroute Normalize/ Denormalize Enrich Multiple ingestion Stateful Streaming Pipeline Complex event processing Time-window based processing Enrich Multiple ingestion Micro batch Pipeline Transform for large output (Dataset) Partitioning Split workload Analytics batch Pipeline Analytics large volume (legacy) Transform large output (Dataset, legacy) Transport large unstructured data Better scalability for pipelines

20. © 2024 REDPANDA DATA Stateless Streaming Pipeline Transform format Change, masking, filtering, validating Dispatch, Wiretap Spilt, multiple destination Control reroute Normalize/ Denormalize Enrich Multiple ingestion Stateful Streaming Pipeline Complex event processing Time-window based processing Enrich Multiple ingestion Better scalability for pipelines

21. © 2024 REDPANDA DATA Keep Learning Streaming - Communication Basics of K8s networking Connectivity Performance Docs Get a peak under the hood. https://docs.redpanda.com/ Blogs Keep up to date with Redpanda. https://redpanda.com/blog Slack Engage with our community. https://redpanda.com/slack Code Check out the source. https://github.com/redpanda-data Redpanda University Free, self-paced online learning https://university.redpanda.com

Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide

Recommandé

Recommandé

Contenu connexe

Similaire à Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide

Similaire à Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide (20)

Plus de Christina Lin

Plus de Christina Lin (20)

Dernier

Dernier (20)

Building Real-Time Data Pipelines: Stream & Batch Processing workshop Slide