FreeEed popcorn overview
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FreeEed eDiscovery Popcorn is a free and easy to use eDiscovery application that allows lawyers to process client data for lawsuits. It comes pre-installed as a virtual machine kernel that can be downloaded and used to "cook" client data. Each kernel represents a single case, allowing data to be securely separated and processed independently. The kernels can also be archived and reused later as needed. It provides a low-cost alternative to traditional expensive eDiscovery systems that do not allow for such flexibility.
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Altiscale provides a big data-as-a-service platform based on Apache Hadoop and related technologies like Spark, Hive, and Tez. Interest in big data is growing rapidly but many independent implementations fail. Altiscale aims to help with its experienced team and fully managed platform that offers fast time to value, scalability, security, and lower total cost of ownership. The platform core is Apache open source components like Hadoop, Spark, Hive and Tez. Altiscale handles administration of the Hadoop cluster including hardware, upgrades, tuning, and addressing failures so customers can focus on their data and jobs.
Oil and gas big data edition
The document discusses Informatica's data integration platform and its capabilities for big data and analytics projects. Some key points:
- Informatica is a leading data integration vendor with over 5,000 customers including over 70% of the Global 500.
- The Informatica platform provides capabilities across the entire data lifecycle from ingestion to delivery including data quality, master data management, integration, and analytics.
- It supports a variety of data sources including structured, unstructured, cloud, and big data and can run on-premises or in the cloud.
- Customers report the Informatica platform improves agility, scalability, and operational confidence for data integration projects compared to
Cloudera search
- Cloudera Search provides an overview of using Solr on Hadoop for search capabilities.
- Key projects involved include Lucene, Solr, and Hadoop which can be integrated to allow indexing of data on HDFS and querying via search.
- The presentation discusses architectural details of running Solr on HDFS and integrating other Hadoop projects like HBase, MapReduce, and Hue.
Joe Witt presentation on Apache NiFi
Apache NiFi is a dataflow system developed at NSA that was donated to the Apache Software Foundation in 2014. It provides real-time data routing, transformation, and system mediation capabilities with an intuitive visual interface. Key features include flow-based programming, provenance tracking, security controls, and clustering support. The system aims to automate dataflows from any source to systems that analyze or store the data.
Nutch + Hadoop scaled, for crawling protected web sites (hint: Selenium)
The document summarizes a presentation on using Nutch with Hadoop for web crawling. It discusses Nutch's architecture and how it can be configured to crawl specific domains. It also describes how Nutch can be scaled using HDFS for storage and MapReduce for crawling. The presentation demonstrates using Burp and Selenium tools with Nutch to perform tasks like password testing and browser interaction during the crawling process.
Night owl by Boyd Meyer of PROS
The document discusses using Elasticsearch and Hadoop to analyze large amounts of log data from multiple servers and applications in a centralized way. It describes setting up Elasticsearch to enable fast querying of the log data, Logstash to ingest logs from various sources into Elasticsearch, and Kibana for visualization. Hadoop is used to handle the large volumes of log data, and Pig scripts are used to do analysis on the data stored in Elasticsearch.
SHMcloud vision
Houston Technology Center presentation by SHMsoft. eDiscovery, data governance, and compliance vision that can be build on Hadoop clusters and public or private clouds.
Porting your hadoop app to horton works hdp
The document discusses porting a Java-based eDiscovery application from Cloudera on Amazon EC2 to Hortonworks Hadoop Distribution Public Cloud (HDP). It provides details on setting up an HDP cluster on EC2, including choosing services to install, customizing Nagios for monitoring, and troubleshooting an initial HBase installation failure. The author seeks instructions for integrating custom control scripts during cluster startup and management.
Automated Hadoop Cluster Construction on EC2
This document discusses options for running Hadoop clusters on Amazon EC2, including using tools like Whirr to automate cluster setup, limitations of Whirr, using Amazon EMR, manually setting up clusters, and advanced options like monitoring cluster health. It also provides context on Hadoop, clouds, and related technologies like HBase, Cassandra, and different Hadoop distributions from Cloudera, MapR, and others.
Hadoop on ec2
The document discusses configuring and running a Hadoop cluster on Amazon EC2 instances using the Cloudera distribution. It provides steps for launching EC2 instances, editing configuration files, starting Hadoop services, and verifying the HDFS and MapReduce functionality. It also demonstrates how to start and stop an HBase cluster on the same EC2 nodes.
Open source e_discovery
The document discusses open source eDiscovery software called FreeEed. It provides an overview of FreeEed's current capabilities including text extraction, flexible search, and scalability across Windows, Mac, Linux and Hadoop clusters. The document also outlines FreeEed's processing stages and screens. Future plans for FreeEed include Amazon cloud processing, enhanced capabilities using Big Data technology, and iPad/tablet review interfaces. The creator of FreeEed sees an exciting future applying Big Data technology to advanced review tasks like predictive coding and automated privilege review.
FreEed - Open Source eDiscovery
FreeEed is an open source eDiscovery software that uses big data technologies like Hadoop for processing electronic documents during legal cases. It can currently perform text and metadata extraction and culling during discovery. It will soon add review, analysis, production and presentation capabilities. FreeEed can also do preservation and collection. It leverages modern technologies from open source tools like Tika for extraction and Lucene for searching. It has advantages like easy use, integration with other tools, and community support. FreeEed can run standalone, on Linux clusters, or on Amazon cloud from a laptop. It uses a staging, extraction, culling and output workflow.
Houston Hadoop Meetup Presentation by Vikram Oberoi of Cloudera
The document discusses Hadoop, an open-source software framework for distributed storage and processing of large datasets across clusters of commodity hardware. It describes Hadoop's core components - the Hadoop Distributed File System (HDFS) for scalable data storage, and MapReduce for distributed processing of large datasets in parallel. Typical problems suited for Hadoop involve complex data from multiple sources that need to be consolidated, stored inexpensively at scale, and processed in parallel across the cluster.
Google Office in Zurich, Switzerland
Google's Zurich office aims to reimagine how work could be by focusing on employee well-being, flexibility, and purpose over traditional metrics. However, the document suggests that while new visions for work are inspiring, practical realities must still be faced in implementing meaningful changes to traditional work structures and cultures. The high-level ideas presented require further refinement and consideration of challenges to become established models.
Fun art with fruit and vegetable
This very short document is written in an unknown language and does not contain any discernible information that could be summarized in 3 sentences or less. The document appears to only contain symbols with no meaningful words that can be understood.
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Witsml data processing with kafka and spark streaming
Witsml data processing with kafka and spark streaming
Hadoop as a service presented by Ajay Jha at Houston Hadoop Meetup
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Nutch + Hadoop scaled, for crawling protected web sites (hint: Selenium)
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Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
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4. Deployment Using ArgoCD for Edge Devices
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5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
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9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
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- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
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* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
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https://www.wask.co/ebooks/digital-marketing-trends-in-2024
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5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
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The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
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Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
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みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
FreeEed popcorn overview
- 1. FreeEed eDiscovery Popcorn An easy recipe © 2014 SHMsoft, Inc.
- 2. FreeEed popcorn is very popular with lawyers, legal techs, IT, etc. Why?
- 3. Past • Up until now, eDiscovery was hard and expensive • At $100/GB, it can easily eat half of the lawsuit budget • 50% of the 1 million US lawyers are just now getting into eDiscovery • The other 50% are looking to lower the cost
- 4. Present • Enter FreeEed eDiscovery popcorn • It comes as an application (called Virtual Machine, or VM) - this is your popcorn kernel • You can download as many as you want • Or just make another copy :)
- 5. How do I cook it? • You cook a FreeEed corn by adding your data into it • If your lawsuit has much data (you are hungry) - you just add more kernels • And they work together (because it is a Hadoop cluster) • Don’t know what a Hadoop cluster is? - does not matter, because it just works
- 6. Butter, spices? • Q: But each lawsuit is different!? • A: – Very true, and you cook each kernel (lawsuit) according to taste: spicy butter, creamy, or no butter – Because they are separate kernels and because each one is free – That is, you apply different processing to each
- 7. Can I re-warm my popcorn later? • That’s the beauty of it: since each lawsuit is stored in its own kernel, you can archive it individually and easily • Try to do it with current multi-tenant system :( • So you can store it for as many years as you need. Then rewarm it (start the VM) - and it is as good as before
- 8. Can I clean up the mess? • Q: Sometimes I need to erase the data, can I do it? • A: – Nothing easier - just delete the VM (through away the kernels into the trash), and you are done – You can even shred it, by shredding the VM data on disk
- 9. No mixing! • Q: – But how do I separate different lawsuits and not intermingle data from different clients? • A: – Recall that each kernel is one case – They never mix! Each kernel is cooked with its own data and butter – So no ethical problems? - None! – Again, try this with multi-tenant systems :(
- 10. Only here • Q: – So what is your magical recipe? Why can’t others give me this wonder popcorn? • A: – Quite simply: you can have as many kernels as you want because the license is free. With others each license costs. – And if you have a lot of data, just cook a few kernels together, they will do the job for you.
- 11. I want it! • I am a lawyer, and I want your popcorn! • Just go to our site, download the FreeEed popcorn VM and start cooking • What if I am lost? • We will offer you support • OK, I am buying (or just eating free for starters)
- 12. My law firm wants it • Q: – We want to make sure it will work in the future • A: – Recall that it is open source. It is here to stay – It is built on standards, so others can continue – You can even modify it to taste – And customize it for your law firm • But I need a lot! - Take all you want