DATA & ANALYTICS
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Fireflylabz is a data and analytics company that focuses on trends like data fabric, augmented analytics, IoT analytics, hyper personalization, operational analytics, data centric AI, graph analytics, blockchain in analytics, and data democratization. They provide descriptive, diagnostic, predictive, and prescriptive analytics tools like Power BI. Fireflylabz also designs and develops digital products and solutions for startups and enterprises with over 50 projects, 100k lines of code, 20+ clients, and 4+ years of experience in areas such as talent sourcing, ideation and design, and product development and deployment.
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1. The basic definition of Data, Analytics, and Data Analytics
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Analytics: Analytics is the discovery, interpretation, and communication of meaningful patterns in data and applying those patterns towards effective decision making.
Data Analytics: Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.
3.Types of analytics: Predictive Analytics (What could happen?)
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4.Why Data analytics? Data Analytics is needed in Business to Consumer applications (B2C)
5.The process of Data analytics: Data requirements,
Data collection, Data processing, Data cleaning, Exploratory data analysis,
Modeling and algorithms, Data product, Communication
6.The scope of Data Analytics: Bright future of data analytics, many professionals and students are interested in a career in data analytics.
7.Importance of data analytics:1. Predict customer trends and behaviors
Analyze,
2 interpret and deliver data in meaningful ways
3.Increase business productivity
4.Drive effective decision-making
8.why become a data analyst? talented gaps of skill candidates, good salaries for freshers, great future growth path
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10. Skill is required for Data analytics?
1.) Analytical Skills
2.) Numeracy Skills
3.) Technical and Computer Skills
4.) Attention to Details
5.) Business Skills
6.) Communication Skills
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2. R: R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is freely available under the GNU General Public License, and pre-compiled binary versions are provided for various operating systems like Linux, Windows, and Mac.
3.PYTHON: Python is a popular programming language Python is a powerful, flexible, open-sources language that is easy to use,
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Chris Riccomini works as a Software Engineer at WePay.
Data Catalogs Are the Answer – What is the Question?
Organizations with governed metadata made available through their data catalog can answer questions their people have about the organization’s data. These organizations get more value from their data, protect their data better, gain improved ROI from data-centric projects and programs, and have more confidence in their most strategic data.
Join Bob Seiner for this lively webinar where he will talk about the value of a data catalog and how to build the use of the catalog into your stewards’ daily routines. Bob will share how the tool must be positioned for success and viewed as a must-have resource that is a steppingstone and catalyst to governed data across the organization.
Emerging Trends in Data Architecture – What’s the Next Big Thing?
With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.
What Is Power BI? | Introduction To Microsoft Power BI | Power BI Training | ...
( Power BI Training - https://www.edureka.co/power-bi-training )
This Edureka "What Is Power BI?" tutorial will help you an introduction to Power BI. This video helps you to learn the following topics:
1. Why Power BI?
2. What Is Power BI?
3. Who Use Power BI?
4. Components Of Power BI
5. Building Blocks Of Power BI
Check out our Power BI Playlist: https://goo.gl/97sJv1
Introduction to Data Analytics
This document introduces data science, big data, and data analytics. It discusses the roles of data scientists, big data professionals, and data analysts. Data scientists use machine learning and AI to find patterns in data from multiple sources to make predictions. Big data professionals build large-scale data processing systems and use big data tools. Data analysts acquire, analyze, and process data to find insights and create reports. The document also provides examples of how Netflix uses data analytics, data science, and big data professionals to optimize content caching, quality, and create personalized streaming experiences based on quality of experience and user behavior analysis.
Building the Data Lake with Azure Data Factory and Data Lake Analytics
In essence, a data lake is commodity distributed file system that acts as a repository to hold raw data file extracts of all the enterprise source systems, so that it can serve the data management and analytics needs of the business. A data lake system provides means to ingest data, perform scalable big data processing, and serve information, in addition to manage, monitor and secure the it environment. In these slide, we discuss building data lakes using Azure Data Factory and Data Lake Analytics. We delve into the architecture if the data lake and explore its various components. We also describe the various data ingestion scenarios and considerations. We introduce the Azure Data Lake Store, then we discuss how to build Azure Data Factory pipeline to ingest the data lake. After that, we move into big data processing using Data Lake Analytics, and we delve into U-SQL.
Azure data analytics platform - A reference architecture
This document provides an overview of Azure data analytics architecture using the Lambda architecture pattern. It covers Azure data and services, including ingestion, storage, processing, analysis and interaction services. It provides a brief overview of the Lambda architecture including the batch layer for pre-computed views, speed layer for real-time views, and serving layer. It also discusses Azure data distribution, SQL Data Warehouse architecture and design best practices, and data modeling guidance.
Creating a Data-Driven Organization (Data Day Seattle 2015)
Creating a Data-Driven Organization
The document discusses how to create a data-driven organization. It argues that being data-driven requires having strong analytics, a data-focused culture, and using data to drive impact and business results. Some key aspects of a data-driven culture discussed are having a testing mindset, open data sharing, self-service analytics access for business units, broad data literacy, and visible data leadership. The presentation provides examples of actions organizations can take to promote a data-driven culture, such as improving analyst competencies and linking metrics to strategic goals. It cautions that becoming complacent once progress is made can undermine data-driven efforts, as demonstrated by Tesco's experience.
Overview of Data and Analytics Essentials and Foundations
As companies increasingly integrate data across functions, the boundaries between marketing, sales and operations have been blurring. This allows them to find new opportunities that arise by aligning and integrating the activities of supply and demand to improve commercial effectiveness. Instead of conducting post-hoc analyses that allow them to correct future actions, companies generate and analyze data in near real-time and adjust their operations processes dynamically. Transitioning from static analytics outputs to more dynamic contextualized insights means analytics can be delivered with increased relevance closer to the point of decision.
This talk will cover the analytics journey from descriptive, predictive and prescriptive analytics to derive actionable and timely insights to improve customer experience to drive marketing, salesforce and operations excellence.
BI Consultancy - Data, Analytics and Strategy
The presentation describes my views around the data we encounter in digital businesses like:
- Looking at common Data collection methodologies,
-What are the common issues within the decision support system and optimiztion lifecycle,
- Where are most of failing?
and most importantly, "How to connect the dots and move from Data to Strategy?"
I work with all facets of Web Analytics and Business Strategy and see the structures and governance models of various domains to establish and analyze the key performance indicators that allow you to have a 360º overview of online and offline multi-channel environment.
Apart from my experience with the leading analytic tools in the market like Google Analytics, Omniture and BI tools for Big Data, I am developing new solutions to solve complex digital / business problems.
As a resourceful consultant, I can connect with your team in any modality or in any form that meets your needs and solves any data/strategy problem.
What's hot (20)
Data Science Tutorial | Introduction To Data Science | Data Science Training ...
Data Science Tutorial | Introduction To Data Science | Data Science Training ...
What Is Data Science? | Introduction to Data Science | Data Science For Begin...
What Is Data Science? | Introduction to Data Science | Data Science For Begin...
MLOps and Data Quality: Deploying Reliable ML Models in Production
MLOps and Data Quality: Deploying Reliable ML Models in Production
Data analytics presentation- Management career institute
Data analytics presentation- Management career institute
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Catalogs Are the Answer – What is the Question?
Data Catalogs Are the Answer – What is the Question?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
Emerging Trends in Data Architecture – What’s the Next Big Thing?
What Is Power BI? | Introduction To Microsoft Power BI | Power BI Training | ...
What Is Power BI? | Introduction To Microsoft Power BI | Power BI Training | ...
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Azure data analytics platform - A reference architecture
Azure data analytics platform - A reference architecture
Creating a Data-Driven Organization (Data Day Seattle 2015)
Creating a Data-Driven Organization (Data Day Seattle 2015)
Overview of Data and Analytics Essentials and Foundations
Overview of Data and Analytics Essentials and Foundations
Similar to DATA & ANALYTICS
Latest ppt work
(the color might not share correct on slideshare) Might want to download to view... Some late work we put together for the executive main stage keynotes at TIBCO NOW, our annual user conference. Here is some nice supporting imagery using powerpoint on a uniquely formatted screen
Future Business Applications in Power Platform, Dynamics and Office
Different roles like developers, designers, SMEs, engineers and researchers can use various devices and development environments like hybrid, on-prem and cloud to work with modern data, technologies and software development tools to build solutions. Microsoft offers the Power Platform, Dynamics 365 applications, databases, analytics and AI services to help with opportunities and challenges across industries.
Advanced Analytics and Artificial Intelligence - Transforming Your Business T...
Recent advances in AI have incredible potential and they are already fundamentally changing our lives in ways we couldn’t have imagined even five years ago. And yet, AI is also probably one of the least understood technological breakthroughs in modern times. Come to this event to learn about breakthrough advances in AI and the power of the cloud, and how Microsoft provides a flexible platform for you to infuse intelligence into your own products and services. Microsoft empowers you to transform your business, uniquely combining AI innovation with a proven Enterprise platform, deriving intelligence from a wide range of data relevant to your business no matter where it lives.
A Strategic View of Enterprise Reporting and Analytics: The Data Funnel
The Briefing Room with Colin White and Jaspersoft
Slides from the Live Webcast on June 12, 2012
As the corporate appetite for analytics and reporting grows, companies must find a way to secure a strategic view of their information architecture. End users with varying degrees of expertise need a wide range of data and reports delivered in a timely fashion. As the audience for analytics expands, that puts pressure on IT infrastructure and staff. And now with the promise of Hadoop and MapReduce, the organization's desire for business insight becomes even more significant.
In this episode of The Briefing Room, veteran Analyst Colin White of BI Research will explain the value of being strategic with enterprise reporting. White will be briefed by Karl Van den Bergh of Jaspersoft, who will tout his company's “data funnel” concept, which is designed to strategically manage an organization's information architecture. By aligning information assets along this funnel, IT can effectively address the spectrum of analytical needs – from simple reporting to complex, ad hoc analysis – without over-taxing personnel and system resources.
Data Science at Speed. At Scale.
Every business is looking for a game-changer in data science, machine learning, and AI. Most organizations are also looking for ways to tap into open-source and commercial data science tools such as Python, RStudio, Apache Spark, Jupyter, and Zeppelin notebooks, to accelerate predictive and machine learning model building and deployment while leveraging the scale, security and governance of the Hortonworks Data Platform and other commercial platforms.
Ana Maria Echeverri will demonstrate how to accelerate data science, machine learning, and deep learning workflows by using IBM Watson Studio, an integrated environment for data scientists, application developers, and subject matter experts. This suite of tools allows to collaboratively connect to data, wrangle that data and use it to build, train and deploy models at scale while using Open Source skills (i.e.: Python) and expanding into cognitive capabilities through access to Watson APIs to build AI-powered applications. If you love Python and want to tap into the power of IBM Watson, this is the session for you.
braincavesoft-com-data-analytics (1).pdf
Our data analytics services leverage cutting-edge technologies to extract valuable insights from customer data. We offer services like data mining, predictive analytics, visualization, and statistical analysis. Customized solutions are tailored to meet unique business needs. Pricing depends on the project scope and data volume. Our experts can help determine the best analytics for your goals.
braincavesoft-com-data-analytics.pdf
Get comprehensive data analytics services to get leverage the potential of your data and make data-driven decisions easily.
Learn abc-again-bi-on-cloud
Learn ABC Again – Analytics and Business Intelligence on Cloud provides an overview of the evolution of business intelligence and analytics from the 1980s to present day. It discusses how business intelligence has shifted from on-premise implementations to cloud-based solutions that allow for greater collaboration, mobility, and real-time access to data. The document also introduces SmartPrise BI Suite, a cloud-based business intelligence product that offers features such as single interface access to reports, role-based security, and access to both structured and unstructured data.
RedisConf17 - Real-time Intelligence with Redis-ML and Apache Spark
1) Real-time machine learning with Redis and Apache Spark allows training models with Spark and serving them through Redis for fast, scalable predictions.
2) Databricks provides a unified analytics platform using Spark and Redis that simplifies data integration, experimentation, machine learning and deployment for data scientists, engineers and analysts.
3) Their platform includes Spark for training models from big data, Redis for serving the trained models in production with high performance, scalability and availability.
Microsoft Next 2014 - Insights session 2 - Turning data into a business advan...
Microsoft Next 2014 - Insights session 2 - Turning data into a business advantage: Big Data. Small data. All data, v. Lars Bo Granath, Forretnings ansvarlig - Information Platform, Microsoft Danmark
Data Discovery and BI - Is there Really a Difference?
The Briefing Room with John O'Brien and Birst
Live Webcast Dec. 3, 2013
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?AT=pb&SP=EC&rID=7869542&rKey=1f6574abc879ca42
While the disciplines of business intelligence and discovery certainly overlap, there are key distinctions between the two, both in terms of design point and user interface. While traditionally it is believed different architectures are required to address these differing analytic needs, is that really the case? Or is discovery simply another key capability within an overall BI platform?
Register for this episode of The Briefing Room to learn from veteran Analyst John O'Brien of Radiant Advisors as he outlines best practices for enabling high-quality business intelligence and discovery, and the architectural capabilities to enable both. He'll be briefed by Brad Peters of Birst who will tout his company's cloud BI platform. In particular, Peters will demonstrate how the Birst architecture was especially designed for enterprise-caliber BI and argue for a more inclusive future BI architecture.
Visit InsideAnalysis.com for more information
Self-Service Analytics Framework - Connected Brains 2018
LoQutus helps organisations to innovate with analytics and to get insights with data visualisation. We also build large scale data layers to enable interaction with core data, and develop data-driven applications to deliver the insights our customers need. During this session we’ll share what we have learned along the way. We’ll show you our framework for self-service analytics & insights, and some successful case studies.
Neo4j Graph Data Platform: Making Your Data More Intelligent
This document discusses the Neo4j graph data platform and how it can help organizations make their data more intelligent. Some key points:
- By 2025, 175 zettabytes of data will be generated annually, but over half remains unquantified and untapped due to a lack of connections between data.
- Neo4j can unlock these connections through its graph database approach, which is designed for connected data. This allows for accelerated innovation through AI/ML and real-time connected insights.
- Graph databases like Neo4j provide significant performance advantages over relational and NoSQL databases for queries involving connections in data, enabling "minutes to milliseconds" response times even at large scale
Beyond Mobile - Creative Tech Innovation at AstraZeneca
Beyond Mobile: Creative Technology Innovation at AstraZeneca outlines AstraZeneca's approach to technology innovation and future trends. The company has 70,000 mobile devices and aims to deliver a consumer-grade experience through its Chief Technology Office's UX competency center. The CTO also has technology incubation labs that scout emerging technologies like AI, IoT, virtual and augmented reality to drive innovation across the company. AstraZeneca envisions how these technologies could disrupt healthcare by 2025 and aims to create a digital health foundation through initiatives like its digital health hackathon.
Knowledge Graphs Webinar- 11/7/2017
The document discusses knowledge graphs and provides examples of how Neo4j has been used by customers for knowledge graph and graph database applications. Specifically, it discusses how Neo4j has helped organizations like Itau Unibanco, UBS, Airbnb, Novartis, Columbia University, Telia, Scripps Networks, and Pitney Bowes with fraud detection, master data management, content management, smart home applications, investigative journalism, and other use cases by building knowledge graphs and connecting diverse data sources.
MS PPM Summit Chicago_Nov 2015
This document contains an agenda for a campus event on Microsoft Business Intelligence (BI). It includes an introduction to Microsoft BI, a demo, and a discussion on next steps. It provides background information on BI, including definitions and its benefits. It also lists some common adoption issues. The agenda then covers self-service BI tools like Excel and Power BI and how they can help users discover, analyze, visualize and explore data. Finally, it proposes using data from various sources like Project Online, Excel, and other apps to create reports and dashboards on topics like projects, resources, finances, and department performance.
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Ente...
The Briefing Room with Wayne Eckerson and Birst
Live Webcast on March 4, 2014
Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=573944bdf3e01bfb977fa9f3d1d623c2
At the Tipping Point: Considerations for Cloud BI in a Multi-platform BI Enterprise - Mar. 4
The Briefing Room with Wayne Eckerson and Birst
Cloud BI, once a novelty, is now going mainstream. More and more organizations are adopting Cloud BI and folding it in their BI strategy. Learn what considerations are necessary to determine if Cloud BI should be part of your multi-platform BI architecture.
Register for this episode of The Briefing Room to learn from veteran Analyst Wayne Eckerson as he explains what to consider when choosing cloud-based solutions. He will be briefed by Brad Peters of Birst, who will tout his company’s enterprise-caliber cloud BI platform. Peters will describe how the coexistence of cloud applications and traditional environments can provide the kind of agility and flexibility that can lead to faster time to value.
Visit InsideAnlaysis.com for more information.
AWS re:Invent 2016 Recap in Hong Kong Keynote
AWS re:Invent is the largest global gathering of the Amazon Web Services community held in Las Vegas. Our five-day 2016 agenda, which is comprised of over 400 breakout sessions and attracted over 32,000 attendees, offers expanded opportunities to learn about AWS solutions, how the cloud impacts your business, including deep dives into hot topics including IoT and AI, new perspectives on cloud issues, and more chances to learn from the experts.
Not able to attend? Don’t worry, we are bringing AWS re:Invent to Hong Kong on Jan 19, 2017. Packed into a one-day format, AWS re:Invent 2016 Recap Hong Kong will showcase the key products, services, and enhancements recently announced in Las Vegas; Including new services for Big Data & Analytics, Architecture, Developers and Enterprises, etc. Local AWS customers are also invited to share their post re:Invent perspectives and ongoing successes with AWS so you can learn more from their successful stories.
Come join us at this event to hear new AWS product announcements addressed by the AWS Team!
Revolutionizing the Legal Industry with Spark, NLP and Azure Databricks at Cl...
From zero to data science in a legal firm: how one of the world’s largest law firms is reshaping operations with advanced analytics. Clifford Chance LLP is one of the ten largest law firms in the world. With thousands of global clients their teams handle millions of legal documents every year.
The data science team will share their approach to building an agile data science lab from zero on top of Apache Spark, Azure Databricks and MLflow. They will deep dive into how they used deep learning for natural language processing in the classification of large documents using MLflow and Hyperopt for model comparison and hyperparameter optimization.
Empowering you - Power BI, Power Platform & AI Builder
Slides for the "Microsoft Empowering You" webinar about Power BI, Power Apps, Power Automate & AI Builder by DevScope.
Explore how Power Platform & AI Builder can enrich your Power BI experience.
Watch the full session at https://youtu.be/IhwiESvFaxg
(English subtitles available)
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Future Business Applications in Power Platform, Dynamics and Office
Future Business Applications in Power Platform, Dynamics and Office
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Advanced Analytics and Artificial Intelligence - Transforming Your Business T...
A Strategic View of Enterprise Reporting and Analytics: The Data Funnel
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RedisConf17 - Real-time Intelligence with Redis-ML and Apache Spark
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Data Discovery and BI - Is there Really a Difference?
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Self-Service Analytics Framework - Connected Brains 2018
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Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
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Hand Rolled Applicative User Validation Code Kata
Could you use a simple piece of Scala validation code (granted, a very simplistic one too!) that you can rewrite, now and again, to refresh your basic understanding of Applicative operators <*>, <*, *>?
The goal is not to write perfect code showcasing validation, but rather, to provide a small, rough-and ready exercise to reinforce your muscle-memory.
Despite its grandiose-sounding title, this deck consists of just three slides showing the Scala 3 code to be rewritten whenever the details of the operators begin to fade away.
The code is my rough and ready translation of a Haskell user-validation program found in a book called Finding Success (and Failure) in Haskell - Fall in love with applicative functors.
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SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
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A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
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Empowering Growth with Best Software Development Company in Noida - Deuglo
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
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原版一模一样【微信：741003700 】【美国纽约州立大学奥尔巴尼分校毕业证学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
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1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
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5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
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The Odoo Community serves as a cost-free edition within the Odoo suite of ERP systems. Tailored to accommodate the standard needs of business operations, it provides a robust platform suitable for organisations of different sizes and business sectors. Within the Odoo Community Edition, users can access a variety of essential features and services essential for managing day-to-day tasks efficiently.
This blog presents a detailed overview of the features available within the Odoo 17 Community edition, and the differences between Odoo 17 community and enterprise editions, aiming to equip you with the necessary information to make an informed decision about its suitability for your business.8 Best Automated Android App Testing Tool and Framework in 2024.pdf
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The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
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Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
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Essentials of Automations: The Art of Triggers and Actions in FME
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KuberTENes Birthday Bash Guadalajara - Introducción a Argo CD
Fundamentals of Programming and Language Processors
Fundamentals of Programming and Language Processors
Empowering Growth with Best Software Development Company in Noida - Deuglo
Empowering Growth with Best Software Development Company in Noida - Deuglo
Why Choose Odoo 17 Community & How it differs from Odoo 17 Enterprise Edition
Why Choose Odoo 17 Community & How it differs from Odoo 17 Enterprise Edition
8 Best Automated Android App Testing Tool and Framework in 2024.pdf
8 Best Automated Android App Testing Tool and Framework in 2024.pdf
Transform Your Communication with Cloud-Based IVR Solutions
Transform Your Communication with Cloud-Based IVR Solutions
Using Query Store in Azure PostgreSQL to Understand Query Performance
Using Query Store in Azure PostgreSQL to Understand Query Performance
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...
openEuler Case Study - The Journey to Supply Chain Security
openEuler Case Study - The Journey to Supply Chain Security
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
Automated software refactoring with OpenRewrite and Generative AI.pptx.pdf
Oracle Database 19c New Features for DBAs and Developers.pptx
Oracle Database 19c New Features for DBAs and Developers.pptx
DATA & ANALYTICS
- 1. DATA & ANALYTICS A view from Fireflylabz
- 2. Data & analytics Trends DATA FABRIC AUGMENTED ANALYTICS IOT ANALYTICS HYPER PERSONALIZATION OPERATIONAL ANALYTICS DATA CENTRIC AI GRAPH ANALYTICS BLOCKCHAIN IN ANALYTICS DATA DEMOCRATIZATION ANALYTICS OPS
- 3. Top Data Analytics Tools Descriptive | Diagnostic | Predictive | Prescriptive Power BI
- 5. Predictive Analytics “What is likely to happen?”
- 6. Prescriptive Analytics “What should we do next?”
- 7. Who we are
- 8. fireflylabz “We Ideate, Design & Develop innovative ambitious Digital Products & solutions for Startups and Enterprises ” 50+ Projects 100K+ Lines of code 20+ Clients 4+ Years
- 9. fireflylabz Talent Sourcing Connecting Right Skills with Right team Ideation & Design Design Best in class user experience Product Ideation & Prototyping Develop & Deploy Responsive Web Applications Native & Hybrid Mobile applications