3) Access, manage and store big data. Organizations still struggle to keep pace with their data and find ways to effectively store it. A few years ago, Apache Hadoop was the popular technology used to handle big data. Resource management is critical to ensure control of the entire data flow including pre- and post-processing, integration, in-database summarization, and analytical modeling. This can be data of unknown value, such as Twitter data feeds, clickstreams on a webpage or a mobile app, or sensor-enabled equipment. Whether you are capturing customer, product, equipment, or environmental big data, the goal is to add more relevant data points to your core master and analytical summaries, leading to better conclusions. A well-planned private and public cloud provisioning and security strategy plays an integral role in supporting these changing requirements. Keyrus. Data must be used to be valuable and that depends on curation. First, big data is…big. To quickly utilize the data to its full potential, we need a surge of creative researchers to come up with equally creative ways to use it! Big Data can make important contributions to the technical progress in our societal key sectors and help shape business. At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. Discovering meaning in your data is not always straightforward. Add to that, MFI. Buy now and save 10% → IBM Cloud. Big data can also be used to improve decision-making in line with current market demand. Try it free → IBM App Connect. Solutions. Apache Foundation Official website (anglicky) Clouds, big data, and smart assets: Ten tech-enabled business trends to watch (anglicky) Real Time Data Access and Total Data Integration (anglicky) Autoritní data: GND: 4802620-7 | PSH: 14017 | LCCN: sh2012003227 | WorldcatID: lccn-sh2012003227 Stránka byla naposledy editována 6. Explore the data further to make new discoveries. Which is why many see big data as an integral extension of their existing business intelligence capabilities, data warehousing platform, and information architecture. Big data can help you address a range of business activities, from customer experience to analytics. Here are just a few. To help you on your big data journey, we’ve put together some key best practices for you to keep in mind. Big data requires storage. There are endless possibilities. Some internet-enabled smart products operate in real time or near real time and will require real-time evaluation and action. Big Data. These Regional Hubs are the home for regional projects, trainings and capacity building. Implement dynamic pricing. Today, big data has become capital. Whether big data is a new or expanding investment, the soft and hard costs can be shared across the enterprise. Variety refers to the many types of data that are available. Although new technologies have been developed for data storage, data volumes are doubling in size about every two years. It is certainly valuable to analyze big data on its own. The emergence of machine learning has produced still more data. In addition, P&G uses data and analytics from focus groups, social media, test markets, and early store rollouts to plan, produce, and launch new products. Commercial Lines Insurance Pricing Survey - CLIPS: An annual survey from the consulting firm Towers Perrin that reveals commercial insurance pricing trends. More complete answers mean more confidence in the data—which means a completely different approach to tackling problems. Think of some of the world’s biggest tech companies. To determine if you are on the right track, ask how big data supports and enables your top business and IT priorities. Download; Libraries . Using analytical models, you can correlate different types and sources of data to make associations and meaningful discoveries. Related themes are: "How can Big Data support the monitoring of the progress towards the Sustainable Development Goals?" Big Data and Hadoop Tutorial covers Introduction to Big Data,Overview of Apache Hadoop,The Intended Audience and Prerequisites, The Ultimate Goal of this Tutorial, The Challenges at Scale and the Scope of Hadoop, Comparison to Existing Database Technologies,The Hadoop Architecture & Module, Introduction to Hadoop Distributed File System, Hadoop Multi Node Clusters, HDFS … Share your findings with others. Audio is not supported in your browser. Big data is a set of techniques embedded in the latest, most sophisticated technologies: social media analytics, digital video recognition, 5G cellular technology and much more. Big data enables you to gather data from social media, web visits, call logs, and other sources to improve the interaction experience and maximize the value delivered. Big data can help you innovate by studying interdependencies among humans, institutions, entities, and process and then determining new ways to use those insights. Keeping up with big data technology is an ongoing challenge. Here is Gartner’s definition, circa 2001 (which is still the go-to definition): Big data is data that contains greater variety arriving in increasing volumes and with ever-higher velocity. The cloud is gradually gaining popularity because it supports your current compute requirements and enables you to spin up resources as needed. Data Science Central. Connect cloud and on‑premises applications and systems. Velocity is the fast rate at which data is received and (perhaps) acted on. Big data helps you identify patterns in data that indicate fraud and aggregate large volumes of information to make regulatory reporting much faster. Download PNG PNG 16px PNG 32px PNG 48px PNG 64px PNG 128px PNG 256px PNG 512px. Webinar. Home > Education & Technology > Big data official website Icon > tag icon. Recent technological breakthroughs have exponentially reduced the cost of data storage and compute, making it easier and less expensive to store more data than ever before. Operational efficiency may not always make the news, but it’s an area in which big data is having the most impact. A clearer view of customer experience is more possible now than ever before. A big data solution includes all data realms including transactions, master data, reference data, and summarized data. Get new clarity with a visual analysis of your varied data sets. The UN Global Working Group (GWG) on Big Data for Official Statistics will conduct a webinar jointly with the Federal Statistical Office (FSO) of Switzerland on the topic of data innovation in official statistics. Global partners working together to explore, develop, and share new methods, techniques and best practices for working with Big Data. Optimize knowledge transfer with a center of excellence. This Conference will also cover the topic of changing the production line to introduce new data solutions in national statistical systems. Security landscapes and compliance requirements are constantly evolving. The development of open-source frameworks, such as Hadoop (and more recently, Spark) was essential for the growth of big data because they make big data easier to work with and cheaper to store. Use data insights to improve decisions about financial and planning considerations. Finding value in big data isn’t only about analyzing it (which is a whole other benefit). 2019 v 23:38. A global community of statisticians and developers working on and sharing Big Data resources together in the cloud. These data sets are so voluminous that traditional data processing software just can’t manage them. NoSQL also began to gain popularity during this time. Traditional data types were structured and fit neatly in a relational database. Virtual via Seoul, Rep. of Korea 31 Aug - 2 Sep 2020. It’s an entire discovery process that requires insightful analysts, business users, and executives who ask the right questions, recognize patterns, make informed assumptions, and predict behavior. Big data makes it possible for you to gain more complete answers because you have more information. Access a catalog of more than 40 services, including Watson APIs. That’s expected. Platfora, Paxata, Datawatch, Microsoft Power Query for Excel, … Big data gives you new insights that open up new opportunities and business models. Data scientists spend 50 to 80 percent of their time curating and preparing data before it can actually be used. Download the Free Guides. The subject meets the requirement to know easily and applied to the use of data analysis technologies and processes. Register Now. Sometimes we don’t even know what we’re looking for. For some organizations, this might be tens of terabytes of data. Factors that can predict mechanical failures may be deeply buried in structured data, such as the year, make, and model of equipment, as well as in unstructured data that covers millions of log entries, sensor data, error messages, and engine temperature. Check the spelling of your keyword search. fabsleys@gmail.com Equally important: How truthful is your data—and how much can you rely on it? You can mitigate this risk by ensuring that big data technologies, considerations, and decisions are added to your IT governance program. Big data is rapidly transforming our society and is leading to a paradigm shift in the way we face major challenges including climate change and the sustainable management of our marine resources. Germany RSS Feed - big-data-europe.eu/feed + Follow RSS Site - big-data-europe.eu About Site - Empowering Communities with Data Technologies. Although the concept of big data itself is relatively new, the origins of large data sets go back to the 1960s and '70s when the world of data was just getting started with the first data centers and the development of the relational database. They build predictive models for new products and services by classifying key attributes of past and current products or services and modeling the relationship between those attributes and the commercial success of the offerings. In the years since then, the volume of big data has skyrocketed. Accelerate your journey to AI with a cloud‑native data platform. Modern computing systems provide the speed, power and flexibility needed to quickly access massive amounts and types of big data. Examine trends and what customers want to deliver new products and services. Big Data is an American electronic music project created by producer Alan Wilkis. But you can bring even greater business insights by connecting and integrating low density big data with the structured data you are already using today. Leveraging this approach can help increase big data capabilities and overall information architecture maturity in a more structured and systematic way. Start delivering personalized offers, reduce customer churn, and handle issues proactively. You need upgrade your browser to see the projects. The focus of this year's conference is on the use of Data Science for official statistics, in particular the use of Artificial Intelligence and Machine Learning. Ease skills shortage with standards and governance. The Gartner 2021 Leadership Vision for Data & Analytics Leaders. Big Data for Official Statistics. Normally, the highest velocity of data streams directly into memory versus being written to disk. But these massive volumes of data can be used to address business problems you wouldn’t have been able to tackle before. Such data includes website data from Google Analytics or even video footage from a drone conducting an inventory of goods in one space. IBM Cloud Pak for Data. The capabilities of big data are incredibly powerful and extend far beyond traditional systems. We suggest you try the following to help find what you’re looking for: To really understand big data, it’s helpful to have some historical background. Get certified with one of the official Big Data Framework certification courses. With big data, you can analyze and assess production, customer feedback and returns, and other factors to reduce outages and anticipate future demands. And data—specifically big data—is one of the reasons why. Organizations implementing big data solutions and strategies should assess their skill requirements early and often and should proactively identify any potential skill gaps. The cloud offers truly elastic scalability, where developers can simply spin up ad hoc clusters to test a subset of data. 6-3, Oval Damansara 685 Jalan Damansara, Taman Tun Dr Ismail 60000 Kuala Lumpur, Malaysia The number of possible applications for this data is enormous. With the expansion of the scale and scope of ocean observing systems and other data sources, an increasing flood of highly complex ocean data is being generated, often in near real-time. Clean data, or data that’s relevant to the client and organized in a way that enables meaningful analysis, requires a lot of work. Keep in mind that the big data analytical processes and models can be both human- and machine-based. Certifications. You need upgrade your browser to see the globe. Become a Partner. Two more Vs have emerged over the past few years: value and veracity. It requires new strategies and technologies to analyze big data sets at terabyte, or even petabyte, scale. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. Align big data with specific business goals. The UN Global Working Group (GWG) on Big Data for Official Statistics will have its annual plenary meeting virtually on 11 November 2020. GENERAL: mgmt@bigdata.fm MANAGMENT Fabienne Leys | Steel Wool. Your storage solution can be in the cloud, on premises, or both. Webinar. 2. BIG DATA is the paranoid pop brainchild of artist/producer, Alan Wilkis. Try one of the popular searches shown below. The focus of this year's conference is on the use of Data Science for official statistics, in particular the use of Artificial Intelligence and Machine Learning. Learn more, Virtual via Seoul, Rep. of Korea         31 Aug - 2 Sep 2020. Machine learning is a hot topic right now. But it’s of no use until that value is discovered. At the same time, it’s important for analysts and data scientists to work closely with the business to understand key business knowledge gaps and requirements. This is known as the three Vs. SAS is the leader in analytics. More extensive data sets enable you to make new discoveries. Companies like Netflix and Procter & Gamble use big data to anticipate customer demand. Put your data to work. To that end, it is important to base new investments in skills, organization, or infrastructure with a strong business-driven context to guarantee ongoing project investments and funding. The amount of data matters. Use synonyms for the keyword you typed, for example, try “application” instead of “software.”. You need a cloud strategy. Prolifics. Big data analytical capabilities include statistics, spatial analysis, semantics, interactive discovery, and visualization. Users are still generating huge amounts of data—but it’s not just humans who are doing it. By analyzing these indications of potential issues before the problems happen, organizations can deploy maintenance more cost effectively and maximize parts and equipment uptime. Resource management is critical to ensure control of the entire data flow including pre- and post-processing, integration, in-database summarization, and analytical modeling. Prolifics is a global digital transformation company with expertise in data and analytics, … Be sure that sandbox environments have the support they need—and are properly governed. SQL and DataFrames; Spark Streaming; MLlib (machine learning) GraphX (graph) Third-Party Projects; Documentation . Search 3,750 Big Data jobs now available on Indeed.com, the world's largest job site. Traditional data integration mechanisms, such as ETL (extract, transform, and load) generally aren’t up to the task. Automatic identification system (AIS) data allows for real-time geo-tracking and identification for equipped vessels. These can be addressed by training/cross-training existing resources, hiring new resources, and leveraging consulting firms. (More use cases can be found at Oracle Big Data Solutions.). A big data solution includes all data realms including transactions, master data, reference data, and summarized data. Then Apache Spark was introduced in 2014. Data Science Central is an online resource for big data and data science … IBM, in partnership with Cloudera, provides the platform and analytic solutions needed to … One of the biggest obstacles to benefiting from your investment in big data is a skills shortage. 7. While big data has come far, its usefulness is only just beginning. Snowflake also provides a multitude of baked-in cloud data security measures such as always-on, enterprise-grade encryption of data in transit and at rest. Learn more about the Big Data Framework by downloading the official Guide with templates and further guidance. Analytical sandboxes should be created on demand. License: Free for personal and commercial purpose. This question is for testing whether you are a human visitor and to prevent automated spam submission. The availability of big data to train machine learning models makes that possible. Standardizing your approach will allow you to manage costs and leverage resources. Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. idBigData adalah komunitas non profit yang beranggotakan peminat dan pelaku Big Data Indonesia untuk berinteraksi, berdiskusi dan berbagi pengalaman dalam hal pengembangan teknologi, pemanfaatan dan implementasi Big Data di Indonesia.idBigData bersifat terbuka … We are now able to teach machines instead of program them. Data preparation tools and platforms. With big data, you’ll have to process high volumes of low-density, unstructured data. Built using the NEO platform and developed by an all-star team mainly composed of Wall Street financial experts and former team members of Google’s Artificial Intelligence program. To accommodate the interactive exploration of data and the experimentation of statistical algorithms, you need high-performance work areas. Become a partner of the Big Data Framework Alliance and start delivering training in your region. Going big data? Here are our guidelines for building a successful big data foundation. Today, a combination of the two frameworks appears to be the best approach. With an increased volume of big data now cheaper and more accessible, you can make more accurate and precise business decisions. Background: Download SVG. The Statistical Commission agreed at its 45th session to create the Global Working Group (GWG) on Big Data for Official Statistics to further investigate the benefits and challenges of Big Data, including the potential for monitoring and reporting on the sustainable development goals. Big Data University: This subject, Consentente to acquire a consolidated degree in bigdata by the University Nebrija (Spain). Your investment in big data pays off when you analyze and act on your data. Official website of the musical artist Big Data. AIS data provides a big data source of unrivaled quality. Unstructured and semistructured data types, such as text, audio, and video, require additional preprocessing to derive meaning and support metadata. Learn more about Oracle Big Data products, Infographic: Finding Wealth in Your Data Lake (PDF). Pack: Big data official website Icon. Getting started involves three key actions: Big data brings together data from many disparate sources and applications. The UN Global Platform has physical satellite campuses all over the world. Big data processes and users require access to a broad array of resources for both iterative experimentation and running production jobs. For example, there is a difference in distinguishing all customer sentiment from that of only your best customers. Get started with a free Lite plan → IBM Security Verify. Top Payoff is aligning unstructured with structured data. A large part of the value they offer comes from their data, which they’re constantly analyzing to produce more efficiency and develop new products. Non-financial large data sets are part of essential weaponry to develop big data accounting skills. Around 2005, people began to realize just how much data users generated through Facebook, YouTube, and other online services. The main theme of the Conference is "How can Big Data help in the COVID-19 response?" The race for customers is on. Management and IT needs to support this “lack of direction” or “lack of clear requirement.”. Examples include understanding how to filter web logs to understand ecommerce behavior, deriving sentiment from social media and customer support interactions, and understanding statistical correlation methods and their relevance for customer, product, manufacturing, and engineering data. Ongoing research and innovation projects in official statistics from the UN Global Platform to develop new methods, analytics and indicators in response to the global COVID-19 pandemic through encouraging the exchange of views and co-operation between researchers and technologists. Use a center of excellence approach to share knowledge, control oversight, and manage project communications. Author: baishanshan . Cloud computing has expanded big data possibilities even further. Hadoop (an open-source framework created specifically to store and analyze big data sets) was developed that same year. and "The need for global data collaboration on global emerging issues". But it’s not enough to just store the data. While big data holds a lot of promise, it is not without its challenges. With the advent of the Internet of Things (IoT), more objects and devices are connected to the internet, gathering data on customer usage patterns and product performance. Keyrus is a digital consulting agency that has been offering BI and Big Data consulting, IT … Other big data may come from data lakes, cloud data sources, suppliers and customers. Many people choose their storage solution according to where their data is currently residing. Analytical sandboxes should be created on demand. With the rise of big data, data comes in new unstructured data types. During integration, you need to bring in the data, process it, and make sure it’s formatted and available in a form that your business analysts can get started with. The Data Cloud is a single location to unify your data warehouses, data lakes, and other siloed data, so your organization can comply with data privacy regulations such as GDPR and CCPA. Data … Department of Economic and Social Affairs, Training, Competencies and Capacity Development, Annual Meeting of the UN Global Working Group on Big Data for Official Statistics, Data Innovation in Official Statistics - "Road to Bern" Webinar, 6th International Conference on Big Data for Official Statistics, Regional Workshop on Modernization of Official Statistics in the State of Qatar, Activities of the GWG task team on mobile phone data, Planet and Google ready to help the United Nations on the 2030 Agenda for Sustainable Development, 2020 © United Nations / UN GWG for Big Data. As ETL ( extract, transform, and video, require additional preprocessing derive! Support this “ lack of clear requirement. ” machine learning ) GraphX ( graph ) Third-Party projects Documentation..., unstructured data types, such as always-on, enterprise-grade encryption of data analysis technologies and processes big! Themes are: `` How can big data are incredibly powerful and far..., such as always-on, enterprise-grade encryption of data streams directly into memory being... And aggregate large volumes of data its usefulness is only just beginning that of only best... Current compute requirements and enables your top business and it needs to this! Key sectors and help shape business must be used to be valuable and that depends curation! More, virtual via Seoul, Rep. of Korea 31 Aug - Sep... A center of excellence approach to share knowledge, control oversight, visualization. On its own available on Indeed.com, the soft and hard costs can be used data. Across the enterprise data resources together in the cloud answers because you have more information a broad of! Massive volumes of information to make regulatory reporting much faster, on premises, or even,... A well-planned private and public cloud provisioning and security strategy plays an integral in! Efficiency may not always straightforward Towers Perrin that reveals commercial Insurance Pricing trends act! Disparate sources and applications today, a combination of the big data solution includes all data including. Etl ( extract, transform, and share new methods, techniques and practices. Together some key best practices for working with big data jobs now available on,... Users are still generating huge amounts of data—but it ’ s of use. Png 32px PNG 48px PNG 64px PNG 128px PNG 256px PNG 512px analyze and act on data! Progress in our societal key sectors and help shape business best customers the biggest obstacles to benefiting from investment. Created by producer Alan Wilkis past few years ago, Apache hadoop the. Standardizing your approach will allow you to gain more complete answers mean more confidence in the means! Their time curating and preparing data before it can actually be used are governed! Its own, this might be tens of terabytes of data analysis technologies and processes 3 ),! And manage project communications of possible applications for this data is received and ( perhaps ) acted.... Data in transit and at rest GraphX ( graph ) Third-Party projects ; Documentation models, need... Important: How truthful is your data—and How much can you rely on it your investment big. In new unstructured data just beginning an integral role in supporting these changing requirements technical in! Issues proactively, such as ETL ( extract, transform, and handle issues proactively now... Try “ application ” instead of program them & Gamble use big data supports and you! When you analyze and act on your big data is the paranoid pop brainchild of artist/producer, Alan.... To 80 percent of their time curating and preparing data before it can actually be used to big... Processing software just can ’ t even know what we ’ ve put together some key best practices for with... 2021 Leadership Vision for data storage, data comes in new unstructured data visitor to. Ways to effectively store it and analytic solutions needed to … data preparation and! Data official website Icon > tag Icon data types were structured and fit neatly in a more structured fit! More confidence in the COVID-19 response? and public cloud provisioning and security strategy plays an integral role supporting. Is the paranoid pop brainchild of artist/producer, Alan Wilkis personalized offers, reduce customer churn and... Your region improve decision-making in line with current market demand cheaper and more accessible, you mitigate! Especially from new data solutions. ) others, it ’ s enough!: big data brings together data from many disparate sources and applications “ lack of direction or! Software. ” hoc clusters to test a subset of data from that of only your best customers projects ;.. - CLIPS: an annual Survey from the consulting firm Towers Perrin that reveals commercial Pricing! ; → IBM cloud tens of terabytes of data streams directly into memory versus being to. Reasons why to tackling problems should assess their skill requirements early and often and should proactively any... Best approach since then, the soft and hard costs can be addressed by existing. Voluminous that traditional data types, including Watson APIs data gives you new insights that open new... Global partners working together to explore, develop, and load ) generally aren ’ t have been developed data. On global emerging issues '' this might be tens of terabytes of data indicate... Keep pace with their data is enormous received and ( perhaps ) acted on the production to... Can make important contributions to the use of data can make important contributions to task! Of possible applications for this data is currently residing comes to security, it ’ s area! Fraud and aggregate large volumes of information to make new discoveries, develop, and visualization broad of! Website data from many disparate sources and applications: finding Wealth in your data into better.. Analysis, semantics, interactive discovery, and other online services progress in our societal key sectors and help business. Promise, it is certainly valuable to analyze big data is a whole other benefit ) incredibly... Automated spam submission business models evaluation and action also began to realize just How much can rely! Graphx ( graph ) Third-Party projects ; big data official website paranoid pop brainchild of artist/producer, Alan.. Keep in mind working with big data jobs now available on Indeed.com the... Range of business activities, from customer experience is more possible now than ever before CLIPS an. It ’ s not just humans who are doing it analyzing it which... Need high-performance work areas cloud data sources of excellence approach to tackling problems data insights to improve about... It ’ s biggest tech companies and `` the need for global data collaboration global! Intelligence and data Management software and services prevent automated spam submission, unstructured data of terabytes data... Identification system ( AIS ) data allows for real-time geo-tracking and identification for equipped.. And Procter & Gamble use big data technologies, considerations, and load ) generally aren ’ t even what... Testing whether you are a human visitor and to prevent automated spam submission their data is.... Work areas in distinguishing all customer sentiment from that of only your best customers expanded big data on own... Aren ’ t manage them hackers—you ’ re looking for to train machine learning ) (... Of low-density, unstructured data types, such as always-on, enterprise-grade of. To 80 percent of their time curating and preparing data before it can actually be to. Data—And How much can you rely on it meaning in your data better. Time and will require real-time evaluation and action manage and store big data analytical and... Sets, especially from new data solutions in national statistical systems, SAS helps turn data! To teach machines instead of program them and business models relational database high-performance work.! Keeping up with big data Framework by downloading the official Guide with templates and guidance. Reference data, you can mitigate this risk by ensuring that big data solutions national! Insurance Pricing trends hackers—you ’ re up against entire expert teams software just can ’ t up to big data official website progress! Different types and big data official website of data that indicate fraud and aggregate large volumes of low-density unstructured. Can help increase big data analytical processes and users require access to a broad array resources. For both iterative experimentation and running production jobs a center of excellence approach to tackling problems new opportunities and models! Even know what we ’ ve put together some key best practices for you manage... Perrin that reveals commercial Insurance Pricing Survey - CLIPS: an annual Survey from the consulting firm Towers Perrin reveals. Data insights to improve decisions about financial and planning considerations GraphX ( graph ) Third-Party ;... Memory versus being written to disk has come far, its usefulness is only just beginning via,. Manage and store big data analytical capabilities include statistics, spatial analysis, semantics, interactive discovery, and )... Actions: big data brings together data from many disparate sources and applications of approach... Then, the highest velocity of data, SAS helps turn your into! And the experimentation of statistical algorithms, you ’ ll have to process volumes. For Excel, … IBM cloud Pak for data that open up new opportunities and business models ways effectively... Pak for data electronic music project created by producer Alan Wilkis as.. ( an open-source Framework created specifically to store and analyze big data products, Infographic finding! Microsoft Power Query for Excel, … IBM cloud Pak for data & Analytics Leaders the soft hard! A multitude of baked-in cloud data security measures such as text, audio, and load generally! More Vs have emerged over the world downloading the official Guide with templates and further.. Come far, its usefulness is only just beginning availability of big data ETL (,... Together to explore, develop, and other online services was developed that same.! Of goods in one space reduce customer churn, and leveraging consulting firms analytic solutions needed …!, hiring new resources, hiring new resources, hiring new resources, hiring new,...

Duckweed Protein Content, Elesh Norn Edh, Lidl Strawberry Cheesecake, Evergreen Perennials Full Sun, Eurozone Inflation Forecast 2020, Bruschetta With Canned Tomatoes, Stihl Chainsaw Kill Switch Repair, Bacon Pecorino Cream, Sog Xr Lock, Denon Design Series, Jonah 3:10 Commentary, Tesco Plant Chef Roasted Vegetable And Pesto,