Cassandra is a distributed, decentralized, highly scalable NoSQL database. It provides availability and partition tolerance based on the CAP theorem by sacrificing consistency. Cassandra uses a ring topology and distributed hash tables to store data across nodes. It uses a flexible column-oriented data model and tunable consistency levels. Data is replicated across multiple nodes for fault tolerance. Keyspace, column families, rows, columns are the main components of its data model. Memtables and SSTables store data on disk. The architecture ensures high performance writes and reads without single points of failure.
Fault tolerance at scale, a look at how Apache Cassandra achieves fault tolerance via multi data center and/or multi region replication. Presented by Alex Thompson at the Sydney Cassandra Meetup.
Scylla Summit 2022: Making Schema Changes Safe with RaftScyllaDB
ScyllaDB adopted Raft as a consensus protocol in order to dramatically improve our operational aspects as well as provide strong consistency to the end-user. This talk will explain how Raft behaves in Scylla Open Source 5.0 and introduce the first end-user visible major improvement: schema changes. Learn how cluster configuration resides in Raft, providing consistent cluster assembly and configuration management. This makes bootstrapping safer and provides reliable disaster recovery when you lose the majority of the cluster.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
SignalFx: Making Cassandra Perform as a Time Series DatabaseDataStax Academy
SignalFx ingests, processes runs analytics against, (and ultimately stores) massive numbers of time series streaming in parallel into our service which provides an analytics-based monitoring platform for modern applications.
We've chose to build our time series database (TSDB) on Cassandra for it's read and write performance at high load. This presentation will go over our evolution of optimizations to squeeze the most performance out of the TSDB to date and some steps we'll be taking in the future.
The Domain Name System (DNS) is a critical part of Internet infrastructure and the largest distributed Internet directory service. DNS translates names to IP addresses, a required process for web navigation, email delivery, and other Internet functions. However, the DNS infrastructure is not secure enough unless the security mechanisms such as Transaction Signatures (TSIG) and DNS Security Extensions (DNSSEC) are implemented. To guarantee the availability and the secure Internet services, it is important for networking professionals to understand DNS concepts, DNS Security, configurations, and operations.
This course will discuss the concept of DNS Operations in detail, mechanisms to authenticate the communication between DNS Servers, mechanisms to establish authenticity, and integrity of DNS data and mechanisms to delegate trust to public keys of third parties. Participant will be involved in Lab exercises and do configurations based on number of scenarios.
Fault tolerance at scale, a look at how Apache Cassandra achieves fault tolerance via multi data center and/or multi region replication. Presented by Alex Thompson at the Sydney Cassandra Meetup.
Scylla Summit 2022: Making Schema Changes Safe with RaftScyllaDB
ScyllaDB adopted Raft as a consensus protocol in order to dramatically improve our operational aspects as well as provide strong consistency to the end-user. This talk will explain how Raft behaves in Scylla Open Source 5.0 and introduce the first end-user visible major improvement: schema changes. Learn how cluster configuration resides in Raft, providing consistent cluster assembly and configuration management. This makes bootstrapping safer and provides reliable disaster recovery when you lose the majority of the cluster.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
SignalFx: Making Cassandra Perform as a Time Series DatabaseDataStax Academy
SignalFx ingests, processes runs analytics against, (and ultimately stores) massive numbers of time series streaming in parallel into our service which provides an analytics-based monitoring platform for modern applications.
We've chose to build our time series database (TSDB) on Cassandra for it's read and write performance at high load. This presentation will go over our evolution of optimizations to squeeze the most performance out of the TSDB to date and some steps we'll be taking in the future.
The Domain Name System (DNS) is a critical part of Internet infrastructure and the largest distributed Internet directory service. DNS translates names to IP addresses, a required process for web navigation, email delivery, and other Internet functions. However, the DNS infrastructure is not secure enough unless the security mechanisms such as Transaction Signatures (TSIG) and DNS Security Extensions (DNSSEC) are implemented. To guarantee the availability and the secure Internet services, it is important for networking professionals to understand DNS concepts, DNS Security, configurations, and operations.
This course will discuss the concept of DNS Operations in detail, mechanisms to authenticate the communication between DNS Servers, mechanisms to establish authenticity, and integrity of DNS data and mechanisms to delegate trust to public keys of third parties. Participant will be involved in Lab exercises and do configurations based on number of scenarios.
The Domain Name System (DNS) is a critical part of Internet infrastructure and the largest distributed Internet directory service. DNS translates names to IP addresses, a required process for web navigation, email delivery, and other Internet functions. However, the DNS infrastructure is not secure enough unless the security mechanisms such as Transaction Signatures (TSIG) and DNS Security Extensions (DNSSEC) are implemented. To guarantee the availability and the secure Internet services, it is important for networking professionals to understand DNS concepts, DNS Security, configurations, and operations.
This course will discuss the concept of DNS Operations in detail, mechanisms to authenticate the communication between DNS Servers, mechanisms to establish authenticity, and integrity of DNS data and mechanisms to delegate trust to public keys of third parties. Participant will be involved in Lab exercises and do configurations based on number of scenarios.
The Domain Name System (DNS) is a critical part of Internet infrastructure and the largest distributed Internet directory service. DNS translates names to IP addresses, a required process for web navigation, email delivery, and other Internet functions. However, the DNS infrastructure is not secure enough unless the security mechanisms such as Transaction Signatures (TSIG) and DNS Security Extensions (DNSSEC) are implemented. To guarantee the availability and the secure Internet services, it is important for networking professionals to understand DNS concepts, DNS Security, configurations, and operations.
This course will discuss the concept of DNS Operations in detail, mechanisms to authenticate the communication between DNS Servers, mechanisms to establish authenticity, and integrity of DNS data and mechanisms to delegate trust to public keys of third parties. Participant will be involved in Lab exercises and do configurations based on number of scenarios.
Apache Cassandra operations have the reputation to be simple on single datacenter deployments and / or low volume clusters but they become way more complex on high latency multi-datacenter clusters with high volume and / or high throughout: basic Apache Cassandra operations such as repairs, compactions or hints delivery can have dramatic consequences even on a healthy high latency multi-datacenter cluster.
In this presentation, Julien will go through Apache Cassandra mutli-datacenter concepts first then show multi-datacenter operations essentials in details: bootstrapping new nodes and / or datacenter, repairs strategy, Java GC tuning, OS tuning, Apache Cassandra configuration and monitoring.
Based on his 3 years experience managing a multi-datacenter cluster against Apache Cassandra 2.0, 2.1, 2.2 and 3.0, Julien will give you tips on how to anticipate and prevent / mitigate issues related to basic Apache Cassandra operations with a multi-datacenter cluster.
Apache Cassandra operations have the reputation to be simple on single datacenter deployments and / or low volume clusters but they become way more complex on high latency multi-datacenter clusters with high volume and / or high throughout: basic Apache Cassandra operations such as repairs, compactions or hints delivery can have dramatic consequences even on a healthy high latency multi-datacenter cluster.
In this presentation, Julien will go through Apache Cassandra mutli-datacenter concepts first then show multi-datacenter operations essentials in details: bootstrapping new nodes and / or datacenter, repairs strategy, Java GC tuning, OS tuning, Apache Cassandra configuration and monitoring.
Based on his 3 years experience managing a multi-datacenter cluster against Apache Cassandra 2.0, 2.1, 2.2 and 3.0, Julien will give you tips on how to anticipate and prevent / mitigate issues related to basic Apache Cassandra operations with a multi-datacenter cluster.
About the Speaker
Julien Anguenot VP Software Engineering, iland Internet Solutions, Corp
Julien currently serves as iland's Vice President of Software Engineering. Prior to joining iland, Mr. Anguenot held tech leadership positions at several open source content management vendors and tech startups in Europe and in the U.S. Julien is a long time Open Source software advocate, contributor and speaker: Zope, ZODB, Nuxeo contributor, Zope and OpenStack foundations member, his talks includes Apache Con, Cassandra summit, OpenStack summit, The WWW Conference or still EuroPython.
Cassandra by example - the path of read and write requestsgrro
This article describes how Cassandra handles and processes requests. It will help you to get a better impression about Cassandra's internals and architecture. The path of a single read request as well as the path of a single write request will be described in detail.
The Domain Name System (DNS) is a critical part of Internet infrastructure and the largest distributed Internet directory service. DNS translates names to IP addresses, a required process for web navigation, email delivery, and other Internet functions. However, the DNS infrastructure is not secure enough unless the security mechanisms such as Transaction Signatures (TSIG) and DNS Security Extensions (DNSSEC) are implemented. To guarantee the availability and the secure Internet services, it is important for networking professionals to understand DNS concepts, DNS Security, configurations, and operations.
This course will discuss the concept of DNS Operations in detail, mechanisms to authenticate the communication between DNS Servers, mechanisms to establish authenticity, and integrity of DNS data and mechanisms to delegate trust to public keys of third parties. Participant will be involved in Lab exercises and do configurations based on number of scenarios.
Scylla Summit 2022: The Future of Consensus in ScyllaDB 5.0 and BeyondScyllaDB
Beyond the immediate schema changes supported in Scylla Open Source 5.0, learn how the Raft consensus infrastructure will enable radical new capabilities. Discover how it will enable more dynamic topology changes, tablets, immediate consistency, better and faster elasticity, and simplification to repair operations.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
Basic stuff You Need to Know about CassandraYu-Chang Ho
This slide is intended to instruct the backend service team members of PM2.5 Open Data Service (pm25.lass-net.org) to learn the basic stuff about Apache Cassandra.
CockroachDB: Architecture of a Geo-Distributed SQL DatabaseC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2nZwuQF.
Peter Mattis talks about how Cockroach Labs addressed the complexity of distributed databases with CockroachDB. He gives a tour of CockroachDB’s internals, covering the usage of Raft for consensus, the challenges of data distribution, distributed transactions, distributed SQL execution, and distributed SQL optimizations. Filmed at qconnewyork.com.
Peter Mattis is the co-founder of Cockroach Labs where he works on a bit of everything, from low-level optimization of code to refining the overall design. He has worked on distributed systems, designing and implementing the original Gmail back-end search and storage system at Google and designing and implementing Colossus, the successor to Google's original distributed file system.
This course is designed to be a “fast start” on the basics of data modeling with Cassandra. We will cover some basic Administration information upfront that is important to understand as you choose your data model. It is still important to take a proper Admin class if you are responsible for production instance. This course focuses on CQL3, but thrift shall not be ignored.
HBaseCon 2015: OpenTSDB and AsyncHBase UpdateHBaseCon
OpenTSDB continues to scale along with HBase. A number of updates have been implemented to push writes over 2 million data points a second. Here we will discuss about HBase schema improvements, including salting, random UI assignment, and using append operations instead of puts. You'll also get AsyncHBase development updates about rate limiting, statistics, and security.
The Hows and Whys of a Distributed SQL Database - Strange Loop 2017Alex Robinson
Until recently, developers have had to deal with some serious tradeoffs when picking a database technology. One could pick a SQL database and deal with their eventual scaling problems or pick a NoSQL database and have to work around their lack of transactions, strong consistency, and/or secondary indexes. However, a new class of distributed database engines is emerging that combines the transactional consistency guarantees of traditional relational databases with the horizontal scalability and high availability of popular NoSQL databases.
In this talk, we'll examine the history of databases to see how we got here, covering the motivations for this new class of systems and why developers should care about them. We'll then take a deep dive into the key design choices behind one open source distributed SQL database, CockroachDB, that enable it to offer such properties and compare them to past SQL and NoSQL designs. We will look specifically at how to achieve the easy deployment and management of a scalable, self-healing, strongly-consistent database with techniques such as dynamic sharding and rebalancing, consensus protocols, lock-free transactions, and more.
The Missing Manual for Leveled Compaction Strategy (Wei Deng & Ryan Svihla, D...DataStax
In this presentation, we will look into JIRAs, JavaDocs and system log entries to gain a deeper understanding on how LCS works under the hood. We will explain what scenarios don't work well for LCS and (more importantly) why. We will leverage legacy TRACE/DEBUG level log for compaction related objects as well as some newer compaction logging information introduced in C* 3.6 (CASSANDRA-10805) to gain better insights.
About the Speakers
Wei Deng Solutions Architect, DataStax
Solutions Architect for DataStax. I have a strong interest in big data, cloud application and distributed computing practices.
The Domain Name System (DNS) is a critical part of Internet infrastructure and the largest distributed Internet directory service. DNS translates names to IP addresses, a required process for web navigation, email delivery, and other Internet functions. However, the DNS infrastructure is not secure enough unless the security mechanisms such as Transaction Signatures (TSIG) and DNS Security Extensions (DNSSEC) are implemented. To guarantee the availability and the secure Internet services, it is important for networking professionals to understand DNS concepts, DNS Security, configurations, and operations.
This course will discuss the concept of DNS Operations in detail, mechanisms to authenticate the communication between DNS Servers, mechanisms to establish authenticity, and integrity of DNS data and mechanisms to delegate trust to public keys of third parties. Participant will be involved in Lab exercises and do configurations based on number of scenarios.
The Domain Name System (DNS) is a critical part of Internet infrastructure and the largest distributed Internet directory service. DNS translates names to IP addresses, a required process for web navigation, email delivery, and other Internet functions. However, the DNS infrastructure is not secure enough unless the security mechanisms such as Transaction Signatures (TSIG) and DNS Security Extensions (DNSSEC) are implemented. To guarantee the availability and the secure Internet services, it is important for networking professionals to understand DNS concepts, DNS Security, configurations, and operations.
This course will discuss the concept of DNS Operations in detail, mechanisms to authenticate the communication between DNS Servers, mechanisms to establish authenticity, and integrity of DNS data and mechanisms to delegate trust to public keys of third parties. Participant will be involved in Lab exercises and do configurations based on number of scenarios.
Apache Cassandra operations have the reputation to be simple on single datacenter deployments and / or low volume clusters but they become way more complex on high latency multi-datacenter clusters with high volume and / or high throughout: basic Apache Cassandra operations such as repairs, compactions or hints delivery can have dramatic consequences even on a healthy high latency multi-datacenter cluster.
In this presentation, Julien will go through Apache Cassandra mutli-datacenter concepts first then show multi-datacenter operations essentials in details: bootstrapping new nodes and / or datacenter, repairs strategy, Java GC tuning, OS tuning, Apache Cassandra configuration and monitoring.
Based on his 3 years experience managing a multi-datacenter cluster against Apache Cassandra 2.0, 2.1, 2.2 and 3.0, Julien will give you tips on how to anticipate and prevent / mitigate issues related to basic Apache Cassandra operations with a multi-datacenter cluster.
Apache Cassandra operations have the reputation to be simple on single datacenter deployments and / or low volume clusters but they become way more complex on high latency multi-datacenter clusters with high volume and / or high throughout: basic Apache Cassandra operations such as repairs, compactions or hints delivery can have dramatic consequences even on a healthy high latency multi-datacenter cluster.
In this presentation, Julien will go through Apache Cassandra mutli-datacenter concepts first then show multi-datacenter operations essentials in details: bootstrapping new nodes and / or datacenter, repairs strategy, Java GC tuning, OS tuning, Apache Cassandra configuration and monitoring.
Based on his 3 years experience managing a multi-datacenter cluster against Apache Cassandra 2.0, 2.1, 2.2 and 3.0, Julien will give you tips on how to anticipate and prevent / mitigate issues related to basic Apache Cassandra operations with a multi-datacenter cluster.
About the Speaker
Julien Anguenot VP Software Engineering, iland Internet Solutions, Corp
Julien currently serves as iland's Vice President of Software Engineering. Prior to joining iland, Mr. Anguenot held tech leadership positions at several open source content management vendors and tech startups in Europe and in the U.S. Julien is a long time Open Source software advocate, contributor and speaker: Zope, ZODB, Nuxeo contributor, Zope and OpenStack foundations member, his talks includes Apache Con, Cassandra summit, OpenStack summit, The WWW Conference or still EuroPython.
Cassandra by example - the path of read and write requestsgrro
This article describes how Cassandra handles and processes requests. It will help you to get a better impression about Cassandra's internals and architecture. The path of a single read request as well as the path of a single write request will be described in detail.
The Domain Name System (DNS) is a critical part of Internet infrastructure and the largest distributed Internet directory service. DNS translates names to IP addresses, a required process for web navigation, email delivery, and other Internet functions. However, the DNS infrastructure is not secure enough unless the security mechanisms such as Transaction Signatures (TSIG) and DNS Security Extensions (DNSSEC) are implemented. To guarantee the availability and the secure Internet services, it is important for networking professionals to understand DNS concepts, DNS Security, configurations, and operations.
This course will discuss the concept of DNS Operations in detail, mechanisms to authenticate the communication between DNS Servers, mechanisms to establish authenticity, and integrity of DNS data and mechanisms to delegate trust to public keys of third parties. Participant will be involved in Lab exercises and do configurations based on number of scenarios.
Scylla Summit 2022: The Future of Consensus in ScyllaDB 5.0 and BeyondScyllaDB
Beyond the immediate schema changes supported in Scylla Open Source 5.0, learn how the Raft consensus infrastructure will enable radical new capabilities. Discover how it will enable more dynamic topology changes, tablets, immediate consistency, better and faster elasticity, and simplification to repair operations.
To watch all of the recordings hosted during Scylla Summit 2022 visit our website here: https://www.scylladb.com/summit.
Basic stuff You Need to Know about CassandraYu-Chang Ho
This slide is intended to instruct the backend service team members of PM2.5 Open Data Service (pm25.lass-net.org) to learn the basic stuff about Apache Cassandra.
CockroachDB: Architecture of a Geo-Distributed SQL DatabaseC4Media
Video and slides synchronized, mp3 and slide download available at URL http://bit.ly/2nZwuQF.
Peter Mattis talks about how Cockroach Labs addressed the complexity of distributed databases with CockroachDB. He gives a tour of CockroachDB’s internals, covering the usage of Raft for consensus, the challenges of data distribution, distributed transactions, distributed SQL execution, and distributed SQL optimizations. Filmed at qconnewyork.com.
Peter Mattis is the co-founder of Cockroach Labs where he works on a bit of everything, from low-level optimization of code to refining the overall design. He has worked on distributed systems, designing and implementing the original Gmail back-end search and storage system at Google and designing and implementing Colossus, the successor to Google's original distributed file system.
This course is designed to be a “fast start” on the basics of data modeling with Cassandra. We will cover some basic Administration information upfront that is important to understand as you choose your data model. It is still important to take a proper Admin class if you are responsible for production instance. This course focuses on CQL3, but thrift shall not be ignored.
HBaseCon 2015: OpenTSDB and AsyncHBase UpdateHBaseCon
OpenTSDB continues to scale along with HBase. A number of updates have been implemented to push writes over 2 million data points a second. Here we will discuss about HBase schema improvements, including salting, random UI assignment, and using append operations instead of puts. You'll also get AsyncHBase development updates about rate limiting, statistics, and security.
The Hows and Whys of a Distributed SQL Database - Strange Loop 2017Alex Robinson
Until recently, developers have had to deal with some serious tradeoffs when picking a database technology. One could pick a SQL database and deal with their eventual scaling problems or pick a NoSQL database and have to work around their lack of transactions, strong consistency, and/or secondary indexes. However, a new class of distributed database engines is emerging that combines the transactional consistency guarantees of traditional relational databases with the horizontal scalability and high availability of popular NoSQL databases.
In this talk, we'll examine the history of databases to see how we got here, covering the motivations for this new class of systems and why developers should care about them. We'll then take a deep dive into the key design choices behind one open source distributed SQL database, CockroachDB, that enable it to offer such properties and compare them to past SQL and NoSQL designs. We will look specifically at how to achieve the easy deployment and management of a scalable, self-healing, strongly-consistent database with techniques such as dynamic sharding and rebalancing, consensus protocols, lock-free transactions, and more.
The Missing Manual for Leveled Compaction Strategy (Wei Deng & Ryan Svihla, D...DataStax
In this presentation, we will look into JIRAs, JavaDocs and system log entries to gain a deeper understanding on how LCS works under the hood. We will explain what scenarios don't work well for LCS and (more importantly) why. We will leverage legacy TRACE/DEBUG level log for compaction related objects as well as some newer compaction logging information introduced in C* 3.6 (CASSANDRA-10805) to gain better insights.
About the Speakers
Wei Deng Solutions Architect, DataStax
Solutions Architect for DataStax. I have a strong interest in big data, cloud application and distributed computing practices.
This presentation explain about "Apache Cassandra's concepts and architecture".
My friends and colleagues said
"This presentation should be release on public space to help many peoples work in IT"
so, I upload this file for everyone love "Technology for the people"
This presentation used for educating the employee of KT last year.
Best Practices for Migrating Your Data Warehouse to Amazon RedshiftAmazon Web Services
by Darin Briskman, Technical Evangelist, AWS
You can gain substantially more business insights and save costs by migrating your existing data warehouse to Amazon Redshift. This session will cover the key benefits of migrating to Amazon Redshift, migration strategies, and tools and resources that can help you in the process. We’ll learn about AWS Database Migration Service and AWS Schema Migration Tool, which were recently enhanced to import data from six common data warehouse platforms. Level: 200
Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.
Seastore: Next Generation Backing Store for CephScyllaDB
Ceph is an open source distributed file system addressing file, block, and object storage use cases. Next generation storage devices require a change in strategy, so the community has been developing crimson-osd, an eventual replacement for ceph-osd intended to minimize cpu overhead and improve throughput and latency. Seastore is a new backing store for crimson-osd targeted at emerging storage technologies including persistent memory and ZNS devices.
Seastore: Next Generation Backing Store for CephScyllaDB
Ceph is an open source distributed file system addressing file, block, and object storage use cases. Next generation storage devices require a change in strategy, so the community has been developing crimson-osd, an eventual replacement for ceph-osd intended to minimize cpu overhead and improve throughput and latency. Seastore is a new backing store for crimson-osd targeted at emerging storage technologies including persistent memory and ZNS devices.
Apache Cassandra, part 1 – principles, data modelAndrey Lomakin
Aim of this presentation to provide enough information for enterprise architect to choose whether Cassandra will be project data store. Presentation describes each nuance of Cassandra architecture and ways to design data and work with them.
Getting Started with Amazon Redshift - AWS July 2016 Webinar SeriesAmazon Web Services
Traditional data warehouses become expensive and slow down as the volume of your data grows. Amazon Redshift is a fast, petabyte-scale data warehouse that makes it easy to analyze all of your data using existing business intelligence tools for as low as $1000/TB/year. This webinar will provide an introduction to Amazon Redshift and cover the essentials you need to deploy your data warehouse in the cloud so that you can achieve faster analytics and save costs.
Learning Objectives:
• Get an introduction to Amazon Redshift's massively parallel processing, columnar, scale-out architecture
• Learn how to configure your data warehouse cluster, optimize schema, and load data efficiently
• Get an overview of all the latest features including interleaved sorting and user-defined functions
Amazon Redshift는 속도가 빠른 페타바이트 규모의 완전관리형 데이터 웨어하우스로, 간편하고 비용 효율적으로 모든 데이터를 기존 비즈니스 인텔리전스 도구를 사용하여 분석할 수 있게 해줍니다. 이 강연에서는 대량 병렬처리를 가능하게 하는 RedShift의 분산 처리구조를 살펴보고, 다양한 데이터 소스 및 포맷으로 부터의 데이터 통합 및 로드를 위한 모범 사례에 대하여 실습을 통하여 학습할 예정입니다.
연사: 김상필, 아마존 웹서비스 솔루션즈 아키텍트
Massive Data Processing in Adobe Using Delta LakeDatabricks
At Adobe Experience Platform, we ingest TBs of data every day and manage PBs of data for our customers as part of the Unified Profile Offering. At the heart of this is a bunch of complex ingestion of a mix of normalized and denormalized data with various linkage scenarios power by a central Identity Linking Graph. This helps power various marketing scenarios that are activated in multiple platforms and channels like email, advertisements etc. We will go over how we built a cost effective and scalable data pipeline using Apache Spark and Delta Lake and share our experiences.
What are we storing?
Multi Source – Multi Channel Problem
Data Representation and Nested Schema Evolution
Performance Trade Offs with Various formats
Go over anti-patterns used
(String FTW)
Data Manipulation using UDFs
Writer Worries and How to Wipe them Away
Staging Tables FTW
Datalake Replication Lag Tracking
Performance Time!
NewSQL - Deliverance from BASE and back to SQL and ACIDTony Rogerson
There are a number of NewSQL products now on market such as VoltDB and Progres-XL. These promise NoSQL performance and scalability but with ACID and relational concepts implemented with ANSI SQL.
This session will cover off why NoSQL came about, why it's had it's day and why NewSQL will become the backbone of the Enterprise for OLTP and Analytics.
Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure. Cassandra offers robust support for clusters spanning multiple data-centres,with asynchronous master-less replication allowing low latency operations for all clients.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. What is Cassandra? Distributed data store O(1) DHT Column-oriented Dynamo + Big Table
3. Why not RDBMS? Many-to-many relationships -> Joins -> Denormalization -> Multiple copies of data or redundancy Rigid schema Vertical scaling is easier than horizontal ACID, Distributed transaction, Two-phase commit Slower writes
4. CAP Theorem Consistency – All clients will read the same data at same time. Availability – Service always up and running. Partition tolerance – System on whole operates despite network issues.
5.
6. Features Proven Rich data model Scalable Distributed & Decentralized Cross datacenter support High performance writes/reads No SPOF Schema free Tunable consistency
7. Limitations No ACID transactions(if needed) Eventually consistent(Tunable consistency, trade-off with performance)
8. ARCHITECTURE Ring Each node – unique token Tokens range from 0 to 2**127 Keys MD5 hash to determine node
10. ARCHITECTURE P2P: All nodes are identical No “master” node Gossip: Protocol for intra-ring communication Each node have state information about other nodes Anti-entropy & Read Repair: Replica synchronization mechanism Occurs during major compaction Uses Merkle trees
11. READ REPAIR Client Result Query Cassandra Cluster Read repair if digests differ Closest replica Result Replica A Digest Query Digest Response Digest Response Replica B Replica C
12. WRITE PATH Commit log: Responsible for all writes Memtable: In-memory data structure, written after commit log. SSTable: Immutable table Memtable flushed to disk
17. ARCHITECTURE Bloom filter: Performance booster Fast, nondeterministic algorithms In memory Used during read operation Tombstones: Deletion marker Soft delete Marker older than a set time, GC’ed
18. HINTED HANDOFF & COMPACTION Hinted Handoff: Node responsible down Coordinator creates hint Compaction: Merge SSTables. Keys merged Columns combined Tombstones discarded New index created
19. PARTITIONER Decides where row key(data) finds place in ring. Random Partitioner: MD5 hash Spreads keys evenly Inefficient range queries Order-Preserving Partitioner: Rows sorted
20. DATA MODEL Keyspace: Like Database. Container for CFs. Column Family: Like Table(But, not exactly a relational database table). Container of rows. Row: Sorted collection of columns. Column: Basic unit of data structure. Triplet of name, value and timestamp
21. DATA MODEL Super Column: Special column. Sorted associative array of columns. Map of maps. Only one level deep. Super Column Family: Container of rows having super columns. 4-D DHT = Standard CF: [Keyspace][ColumnFamily][Key][Column]. 5-D DHT = Super CF: [Keyspace][ColumnFamily][Key][SuperColumn][SubColumn].
22. REPLICATION & CONSISTENCY Replication: No. of copies of data in the system. Consistency level: No. of replicas to respond.
