29回勉強会資料「PostgreSQLのリカバリ超入門」
See also http://www.interdb.jp/pgsql (Coming soon!)
初心者向け。PostgreSQLのWAL、CHECKPOINT、 オンラインバックアップの仕組み解説。
これを見たら、次は→ http://www.slideshare.net/satock/29shikumi-backup
29回勉強会資料「PostgreSQLのリカバリ超入門」
See also http://www.interdb.jp/pgsql (Coming soon!)
初心者向け。PostgreSQLのWAL、CHECKPOINT、 オンラインバックアップの仕組み解説。
これを見たら、次は→ http://www.slideshare.net/satock/29shikumi-backup
3 Things to Learn About:
-How Kudu is able to fill the analytic gap between HDFS and Apache HBase
-The trade-offs between real-time transactional access and fast analytic performance
-How Kudu provides an option to achieve fast scans and random access from a single API
3 Things to Learn About:
-How Kudu is able to fill the analytic gap between HDFS and Apache HBase
-The trade-offs between real-time transactional access and fast analytic performance
-How Kudu provides an option to achieve fast scans and random access from a single API
Querying multiple distributed storage systems with Apache Hive robustlyAshish Singh
Apache Hive facilitates querying and managing large datasets residing in distributed storage. Being used by a very wide community, Hive has been extended to support multiple distributed storage systems. It is now a common practice to have data in different storage systems within an organization. This presentation covers two important aspects of Apache Hive. First aspect covers how Hive makes it possible for organizations to run complex analytical queries across various storage systems or big data components. We recently added HiveKa, to support hive queries on Kafka, and will use it as an example. At Cloudera, we focus not only on providing solutions to help organizations answer bigger questions, but we also make sure that these solutions are robust. The second aspect of this presentation goes over advanced methods/ technologies, like, Random Query Generators, Dockers, Benchmarks, etc that we use at Cloudera to make sure Hive is ready to find right answers from that huge Volume, high Velocity and various Varieties of today’s data.
Introduction of using Hashicorp Vault with your NodeJS Application. How to store your secrets when using a cloud application in nodejs. Meetup in Austin Texas May 2019 (https://www.meetup.com/austinnodejs/events/srwjzqyzhbtb/)
SCALE12X Build a Cloud Day: Chef: The Swiss Army Knife of Cloud InfrastructureMatt Ray
Chef is an open source configuration management and automation framework used to configure, deploy and manage infrastructure of every type. Deploying to the cloud has made it easy to run large numbers of
servers and Chef makes it even easier to deploy to nearly every public and private cloud platform as well as virtualized and physical servers. This talk will provide a quick introduction to Chef and is intended for sysadmins and developers familiar with the concepts behind managing applications and infrastructure in the cloud, without diving too deeply into technical specifics.
DB Time, Average Active Sessions, and ASH Math - Oracle performance fundamentalsJohn Beresniewicz
RMOUG 2020 abstract:
This session will cover core concepts for Oracle performance analysis first introduced in Oracle 10g and forming the backbone of many features in the Diagnostic and Tuning packs. The presentation will cover the theoretical basis and meaning of these concepts, as well as illustrate how they are fundamental to many user-facing features in both the database itself and Enterprise Manager.
Big Data Day LA 2015 - Brainwashed: Building an IDE for Feature Engineering b...Data Con LA
Feature engineering- writing code to map raw input data into a set of signals that will be fed into a machine learning algorithm- is the dark art of data science. Although the process of crafting new features is tedious and failure-prone, the key to a successful model is a diverse set of high-quality features that are informed by domain experts. Recently, academic researchers have begun to focus on the problem of feature engineering, and have started to publish research that addresses the relative lack of tools that are designed to support the feature engineering process. In this talk, I will review some of my favorite papers and present some efforts to convert these ideas into tools that leverage the principles of reactive application design in order to make feature engineering (dare I say it) fun.
Don’t Forget About Your Past—Optimizing Apache Druid Performance With Neil Bu...HostedbyConfluent
Don’t Forget About Your Past—Optimizing Apache Druid Performance With Neil Buesing | Current 2022
Businesses need to react to results immediately; to achieve this, real-time processing is becoming a requirement in many analytic verticals. But sometimes, the move from batch to real-time can leave you in a pinch. How do you handle and correct mistakes in your data? How do you migrate a new system to real-time along with historical data?
Let’s start with how to run Apache Druid locally with your containerized-based development environment. While streaming real-time events from Kafka into Druid, an S3 Complaint Store captures messages via Kafka Connect, for historical processing. An exploration of performance implications when the real-time stream of events contains historical data and how that affects performance and the techniques to prevent those issues, leaving a high-performance analytic platform supporting real-time and historical processing.
You’ll leave with the tools of doing real-time analytic processing and historical batch processing from a single source of truth. Your Druid cluster will have better rollups (pre-computed aggregates) and fewer segments, which reduces cost and improves query performance.
What We Learned About Cassandra While Building go90 (Christopher Webster & Th...DataStax
Go90 is a mobile entertainment platform offering access to live and on demand videos. We built the web services platform and social features like activity feed for go90 by making heavy use of Cassandra and Scala, and would like to share what we learned during development and while operating go90. In this presentation, we cover our data model evolution from the initial prototypes to the current production version and the significant performance gain by using a better data model. We will explain how we apply time series data modeling and the benefits of using expiring columns with DateTieredCompactionStrategy. We will also talk about interesting experiences related to table modifications, tombstones and table pagination. On the operations side, we will discuss our findings on java driver usage, performance, monitoring, cluster maintenance, version upgrade, 2-way ssl and many more. We hope you can learn from our mistakes instead of making them yourself!
About the Speakers
Christopher Webster Software Engineer, AOL
Christopher Webster works on the web services platform for the go90 AOL project. Previously he was a Computer Scientist for the Mission Control Technologies project at NASA Ames Center. Chris worked as a senior staff engineer at Sun Microsystems for Project zembly, the cloud development and deployment environment as well as technical lead in many NetBeans projects. Chris is an author of the NetBeans Field Guide and Assemble the Social Web With Zembly.
Thomas Ng Software Engineer, AOL
Thomas Ng is a software engineer at AOL, building web services for the go90 mobile entertainment platform using Cassandra, Scala and Kafka.
Modern data systems don't just process massive amounts of data, they need to do it very fast. Using fraud detection as a convenient example, this session will include best practices on how to build real-time data processing applications using Apache Kafka. We'll explain how Kafka makes real-time processing almost trivial, discuss the pros and cons of the famous lambda architecture, help you choose a stream processing framework and even talk about deployment options.
You've seen the basic 2-stage example Spark Programs, and now you're ready to move on to something larger. I'll go over lessons I've learned for writing efficient Spark programs, from design patterns to debugging tips.
The slides are largely just talking points for a live presentation, but hopefully you can still make sense of them for offline viewing as well.
What's New in Apache Spark 2.3 & Why Should You CareDatabricks
The Apache Spark 2.3 release marks a big step forward in speed, unification, and API support.
This talk will quickly walk through what’s new and how you can benefit from the upcoming improvements:
* Continuous Processing in Structured Streaming.
* PySpark support for vectorization, giving Python developers the ability to run native Python code fast.
* Native Kubernetes support, marrying the best of container orchestration and distributed data processing.
Cloudera Data Science WorkbenchとPySparkで 好きなPythonライブラリを 分散で使う #cadedaCloudera Japan
Data Engineering and Data Analysis Workshop #1 での有賀 (@chezou)の発表です。
https://cyberagent.connpass.com/event/58808/
Cloudera Data Science WorkbenchとPySparkを使い、Pythonで好きなライブラリを分散実行する方法についてです。日本語の形態素解析ライブラリMeCabをPySparkから実行します。
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
A review on techniques and modelling methodologies used for checking electrom...nooriasukmaningtyas
The proper function of the integrated circuit (IC) in an inhibiting electromagnetic environment has always been a serious concern throughout the decades of revolution in the world of electronics, from disjunct devices to today’s integrated circuit technology, where billions of transistors are combined on a single chip. The automotive industry and smart vehicles in particular, are confronting design issues such as being prone to electromagnetic interference (EMI). Electronic control devices calculate incorrect outputs because of EMI and sensors give misleading values which can prove fatal in case of automotives. In this paper, the authors have non exhaustively tried to review research work concerned with the investigation of EMI in ICs and prediction of this EMI using various modelling methodologies and measurement setups.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.