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Song of Myself. Wont you help support Day. Poems 1. 81. 9 1. I celebrate myself, and sing myself. And what I assume you shall assume. 1 I celebrate myself, and sing myself, And what I assume you shall assume, For every atom belonging to me as good belongs to you. I loafe and invite my soul. Lyberty. coms weeklymonthly splash page. Yes, a splash page is old fashioned, but its been a tradition here since 1999. Tenku notshirotwapyuta Big Miracle 2012 DVDRip READNFO x264SiC Love and Other Drugs. 2010 Eng DivX On Style17 E07. 111204 CATV H264. 480pSHINs Bob. For every atom belonging to me as good belongs to you. I loafe and invite my soul. I lean and loafe at my ease observing a spear of summer grass. My tongue, every atom of my blood, formd from this soil, this air. Born here of parents born here from parents the same, and their. I, now thirty seven years old in perfect health begin. Hoping to cease not till death. Creeds and schools in abeyance. Retiring back a while sufficed at what they are, but never forgotten. I harbor for good or bad, I permit to speak at every hazard. Nature without check with original energy. Houses and rooms are full of perfumes, the shelves are crowded with. I breathe the fragrance myself and know it and like it. The distillation would intoxicate me also, but I shall not let it. The atmosphere is not a perfume, it has no taste of the. It is for my mouth forever, I am in love with it. I will go to the bank by the wood and become undisguised and naked. I am mad for it to be in contact with me. The smoke of my own breath. Echoes, ripples, buzzd whispers, love root, silk thread, crotch and vine. My respiration and inspiration, the beating of my heart, the passing. The sniff of green leaves and dry leaves, and of the shore and. The sound of the belchd words of my voice loosd to the eddies of. A few light kisses, a few embraces, a reaching around of arms. The play of shine and shade on the trees as the supple boughs wag. The delight alone or in the rush of the streets, or along the fields. The feeling of health, the full noon trill, the song of me rising. Have you reckond a thousand acres much Have you practisd so long to learn to readHave you felt so proud to get at the meaning of poems Stop this day and night with me and you shall possess the origin of. You shall possess the good of the earth and sun, there are millions. You shall no longer take things at second or third hand, nor look through. You shall not look through my eyes either, nor take things from me. You shall listen to all sides and filter them from your self. I have heard what the talkers were talking, the talk of the. But I do not talk of the beginning or the end. There was never any more inception than there is now. Nor any more youth or age than there is now. And will never be any more perfection than there is now. Nor any more heaven or hell than there is now. Urge and urge and urge. Always the procreant urge of the world. Out of the dimness opposite equals advance, always substance and. Always a knit of identity, always distinction, always a breed of life. To elaborate is no avail, learnd and unlearnd feel that it is so. Sure as the most certain sure, plumb in the uprights, well. Stout as a horse, affectionate, haughty, electrical. I and this mystery here we stand. Clear and sweet is my soul, and clear and sweet is all that is not my soul. Lack one lacks both, and the unseen is proved by the seen. Till that becomes unseen and receives proof in its turn. Showing the best and dividing it from the worst age vexes age. Knowing the perfect fitness and equanimity of things, while they. I am silent, and go bathe and admire myself. Welcome is every organ and attribute of me, and of any man hearty and clean. Not an inch nor a particle of an inch is vile, and none shall be. I am satisfied I see, dance, laugh, sing. As the hugging and loving bed fellow sleeps at my side through the night. Leaving me baskets coverd with white towels swelling the house with. Shall I postpone my acceptation and realization and scream at my eyes. That they turn from gazing after and down the road. And forthwith cipher and show me to a cent. Exactly the value of one and exactly the value of two, and which is ahead Trippers and askers surround me. People I meet, the effect upon me of my early life or the ward and. I live in, or the nation. The latest dates, discoveries, inventions, societies, authors old and new. My dinner, dress, associates, looks, compliments, dues. The real or fancied indifference of some man or woman I love. The sickness of one of my folks or of myself, or ill doing or loss. Battles, the horrors of fratricidal war, the fever of doubtful news. These come to me days and nights and go from me again. But they are not the Me myself. Apart from the pulling and hauling stands what I am. Stands amused, complacent, compassionating, idle, unitary. Looks down, is erect, or bends an arm on an impalpable certain rest. Looking with side curved head curious what will come next. Both in and out of the game and watching and wondering at it. Backward I see in my own days where I sweated through fog with. I have no mockings or arguments, I witness and wait. I believe in you my soul, the other I am must not abase itself to you. And you must not be abased to the other. Loafe with me on the grass, loose the stop from your throat. Not words, not music or rhyme I want, not custom or lecture, not. Only the lull I like, the hum of your valved voice. I mind how once we lay such a transparent summer morning. How you settled your head athwart my hips and gently turnd over upon me. And parted the shirt from my bosom bone, and plunged your tongue. And reachd till you felt my beard, and reachd till you held my feet. Swiftly arose and spread around me the peace and knowledge that pass. And I know that the hand of God is the promise of my own. And I know that the spirit of God is the brother of my own. And that all the men ever born are also my brothers, and the women. And that a kelson of the creation is love. And limitless are leaves stiff or drooping in the fields. And brown ants in the little wells beneath them. And mossy scabs of the worm fence, heapd stones, elder, mullein and. A child said What is the grass How could I answer the child I do not know what it is any more than he. I guess it must be the flag of my disposition, out of hopeful green. Or I guess it is the handkerchief of the Lord. A scented gift and remembrancer designedly dropt. Bearing the owners name someway in the corners, that we may see. Whose Or I guess the grass is itself a child, the produced babe of the vegetation. Or I guess it is a uniform hieroglyphic. And it means, Sprouting alike in broad zones and narrow zones. Growing among black folks as among white. Kanuck, Tuckahoe, Congressman, Cuff, I give them the same, I. And now it seems to me the beautiful uncut hair of graves. Tenderly will I use you curling grass. It may be you transpire from the breasts of young men. It may be if I had known them I would have loved them. It may be you are from old people, or from offspring taken soon out. And here you are the mothers laps. This grass is very dark to be from the white heads of old mothers. Darker than the colorless beards of old men. Dark to come from under the faint red roofs of mouths. O I perceive after all so many uttering tongues. And I perceive they do not come from the roofs of mouths for nothing. I wish I could translate the hints about the dead young men and women. And the hints about old men and mothers, and the offspring taken. What do you think has become of the young and old men And what do you think has become of the women and children They are alive and well somewhere. The smallest sprout shows there is really no death. And if ever there was it led forward life, and does not wait at the. And ceasd the moment life appeard. All goes onward and outward, nothing collapses. And to die is different from what any one supposed, and luckier. Has any one supposed it lucky to be born I hasten to inform him or her it is just as lucky to die, and I know it. I pass death with the dying and birth with the new washd babe, and. And peruse manifold objects, no two alike and every one good. The earth good and the stars good, and their adjuncts all good. I am not an earth nor an adjunct of an earth. I am the mate and companion of people, all just as immortal and. They do not know how immortal, but I know. Every kind for itself and its own, for me mine male and female. For me those that have been boys and that love women. For me the man that is proud and feels how it stings to be slighted. For me the sweet heart and the old maid, for me mothers and the. For me lips that have smiled, eyes that have shed tears. For me children and the begetters of children. Undrape you are not guilty to me, nor stale nor discarded. I see through the broadcloth and gingham whether or no. And am around, tenacious, acquisitive, tireless, and cannot be shaken away. Free Sex, Free Porn, Free Direct Download. Gina Valentina Brazilian Booty. Brazilian babe Gina Valentina has got that bounce bounce bounce that will make you go hardcore, in that cum wank way You know what we mean. Shes a gorgeous dark haired babe that gets just what you need a lift, shake of Brazilian Booty you want deep all day, every day Shes modelling small tits encased in some silver plated holders meaning, silver cupped and ready UP TO YOU She can shake it or beg for it, or tell you just how she likes it. Wagon Train western TV show. CLICK ON THE PHOTO TO GO TO Wagon Train western TV show VIDEOS. Wagon Train is an American Western series that ran on NBC from. 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Ive been on a bit of journey the past couple of years through open source and Big Data land, coming back to MSFT last year and now Ill be able to bring you more frequent updates on where we stand and where things are heading in the marketplace. Promise Ok, that being said, if you want a bit of history on Cloud BI in general and Microsofts Azure past ventures, take a look at my posting here on this blog from 2. Man, those were the days . Weve come a long way since then With Cloud adoption taking off and Microsoft investing heavily in Azure and Cloud tech, things have moved along very fast and are much improved. This definition explains the meaning of data mining and how enterprises can use it to sort through information to make better business decisions. Im going to present 3 good options for ETL in the Cloud. I want to state that my current role with Microsoft is now a Data Solution Architect where I spend my days working with customers to migrate on prem data platforms or build net new solutions in Azure. That being said, these are 3 common patterns that I help customers on board and they work very well. Also, I have a couple of background slides that you can download here that I use when I discuss this topic with customers. Lets start with traditional ETL. That is, ETL platforms that have enterprise ready features for complex data pipelines that require heavy duty scheduling, auditing, design environments, change control, etc. Of course, SSIS is a great option for this. You can spin up a SQL Server image in Azure very quickly from the gallery here. That is the developer edition, which is free. Pick the edition of SQL that you need for SSIS in production based on your ETL needs to ensure that you have all of the features that you require in production. Of course, that is not truly Platform as a Service Paa. S, that is what we call Infrastructure as a Service Iaa. S, which means that you are manually spinning up a VM and you still need to access Visual Studio to design and manage your ETL processes either from an on prem thick client or RDP Citrix into Visual Studio on that VM or another VM as a development box. In that same vein, Microsoft also offers pre built solution templates from partners that are rolled up VMs ready to spin up from the Azure ISV Marketplace Gallery https azure. Youll find partner solutions ready to go there like Informatica and Attunity. Next, lets move away from hybrid into pure Paa. S tools like Azure Data Factory. ADF is positioned as a Data Processing Service, its in the Cloud in Azure and it is fully managed by Microsoft. All you have to do is to build out data pipelines that, general speaking, focus on data movement, but also offer some feature for data transformation. But to get into advanced transformations, youll want to use external execution engines through ADFs activities that can call out to Hadoop, Machine Learning and SQL Server. ADF also has a Data Management Gateway that allows you to connect up to on prem data sources so that you are not limited to just Cloud data sources. Let me walk you through a very simple example using the Copy Wizard in ADF a. Begin by spinning up a new Data Factory from your Azure portalb. In your new ADF, well use the Copy Data Wizard to build a quick and easy data pipeline that will use a custom query from an Azure SQL DB data source, modify a flag field and the update another Azure SQL DB as the destination. This is meant to mimic the data capture, transformation and data load ETL of a traditional DW scenario in ADF. Select Copy Data Preview c. You will simply walk through the wizard, selecting Azure SQL DB as the source. For in place data copies, you can just select the table and fields from the wizard that you want to transfer. To show you a little bit more about customizing for ETL, select the Use Query tab. In my case, I want to set an Is Old flag on my destination to 0 to indicate that these are new records from the source. So I wrote a very simple custom SELECT statement, setting age to 0 Text. Formatselect AverageRating, NumofRatings, price, CustomerAverageAge, 0 as age from stagingtableWhen you go back into your built out pipeline, you can see that in the JSON definition of your pipeline under sql. Reader. Query KV. Now when you reach the Destination step in the Copy Wizard, select Azure SQL DB as the sink and here is where well use a very simple script to update the existing rows in the target table BEFORE writing new ones. Under Repeatability select custom script and there is where I entered this to set all existing rows to old. That will get executed first Text. Formatupdate stagingtable set isold1And in the JSON for your pipeline to set that value manually, just look for the key sql. Writer. Cleanup. Script. So for ADF natively, you can use these sorts of SQL commands at data capture and before data write to perform your ETL using the graphical Copy Data Wizard. CodePlex is the project hosting site for Microsoft SQL Server Samples and Community Projects. Projects listed here are official Microsoft samples for SQL Server 40. This project contains SQL Server Analysis Services samples contributed by Microsoft outside of the regular release cycle, MVPs, and other members of the community. This project contains Database samples released with Microsoft SQL Server product. You can get much more advanced than that if you use Hadoop with Hive queries or SQL Server stored procedures in more complex pipelines. Here are 2 good links with more detail on those ADF pipeline activities. These activities open up huge opportunities for complex ELT where you are landing data in staging and transforming in the appropriate execution engine https docs. And here is a link for more activities for data transformation including Pig and Map. Reduce. 3. Lastly, you may want to perform more advanced data transformations, aggregations, mining, machine learning, etc. For that, I like to use another fully managed Paa. S service called Azure Machine Learning or AML. With AML, you can build the intelligent parts of the ETL in a very nice fully hosted browser based UI and the orchestrate those ETL processes via scheduled ADF pipelines. Here is an example a. In the Azure ML Studio https studio. Experiments Samples called Sample 8 Apply SQL transformation. This is a good starting point for using AML for SQL transformation in an ETL workflow. What Ive also tried to demonstrate in that example screenshot above is that you write SQLlite code for the SQL Transform and there are also a number of very good out of the box Data Transformation available to you as a data engineer developer in AML. Also notice that you get very nice Web based design environment for your experiments, similar to SSIS in Visual Studio. If you want to do something more complex, like train a machine learning algorithm and use the trained model in your ETL to score data such as in scenarios for sentiment analysis or fraud detection, then you build separate experiments in the same AML environment and also call those from ADF. This is an example that I did to simple estimate the cost of a product based on existing labeled data using the out of the box Linear Regression algorithm in AML. I am a data dude, not a data scientist. So you should get the idea of how easy this is in AML I took the SQL Transformation sample above and added an output step to load the transformed data into an Azure SQL DB. This way, all I have to do is call this Transform from ADF and the data will get loaded without needing inputs or outputs in my ADF pipeline. In fact, when I test this experiment from the design environment, I can move transform data using the Input and Output steps just like when you are in Visual Studio writing an SSIS package. What Ive shown above is the developer environment in Azure ML Studio where you create and test your experiments. In order to operationalize this for an ETL pipeline to be called by ADF, you need to turn that into a Web Service. Click the Set up Web Service button at the bottom of Azure ML Studio. This will generate code to expose your transformations as a Web Service. In the case of the SQL Transform above for ETL purposes, you do not the Input or Output Web Service steps, so just remove those. Were going to grab data within the AML service and load data all in the same service. Here is a more in depth tutorial on turning experiments into production ready services. There you can also learn more about where those Web Services live and how to manage them post deployment. In ADF, build a pipeline from your Data Factory and select Author and deploy. Reporting Services Look Up, Look Down, Look All Around Part III Data Inspirations. Todays post is the 3rd post in a series about the new lookup functions in SQL Server 2. R2 Reporting Services. I covered the Lookup function in Part I of this series and the Multi. Lookup function in Part II. The third and final lookup function is Lookup. Set. First, a quick review. The Lookup function evaluates one value per row in the source to find one value for that row in the destination and the Multi. Lookup function evaluates one set of values per row, finds each matching value in the destination, and returns the matches in a set. Lookup. Set evaluates each row in the source and looks for all matches in the destination, returning the resulting matches as a set. To illustrate how to use Lookup. Set, I want to produce a list of the sales by state and include a count of customers so that I can compare the average sales per customer by state. In Dataset. 1, I have a list of the states two letter codes and total sales. In Dataset. 2, I have a list of customer IDs and the state associated with the customer. You can see a sample of data in each of these datasets below in Figure 1. Figure 1. If you look at the report layout and a portion of the report shown in Figure 2, you can infer that I have a combination of lookups in play. The report is a simple table that includes State. Province. Code in the first column. In the State column, I use the Lookup function in an expression to get the state name from a third dataset. In the Customer Count column, I have an expression that includes the Lookup. Set function to retrieve the set of customers for the state on the current row and then I use a Count function on that set. Of course, if I wanted a list of those customers, I could use the Join function to convert the array that returns from the Lookup. Set function into a string. Continuing on with this example, though, I have Sales. Amount from Dataset. Avg Sale Per Customer that divides Sales. Amount by Customer Count. Figure 2. The expression in the Customer Count column uses the Lookup. Set function and looks like this Lookup. SetFields State. Province. Code. Value,Fields State. Province. Code. Value. Fields Customer. ID. Value,Dataset. Length. Lookup. Set takes four arguments, much like the Lookup function except that Lookup returns a single value per row whereas Lookup. Set returns an array The first argument, FieldsState. Province. Code. Value, is a field in the dataset that is bound to the data region Dataset. The second argument is the State. Province. Code field in Dataset. The Lookup. Set function matches each value in the Dataset. Dataset. 2 field. The values to match must have the same data type. The third argument, Fields Customer. ID. Value, is the field in Dataset. The difference here between the Lookup and Lookup. Set functions is that the Lookup function returns the first value it finds, but Lookup. Set returns an array of all matching values that it finds. The fourth and final argument is the name of the second dataset which must be enclosed in quotes and is case sensitive. Lookup. Set returns an array, so you cant use the results directly in the table but must use some other function to operate on the array to get a single value. I like pictures to help me understand how things work, so I created Figure 3 below as another way to visualize what the Lookup. Set function does. Figure 3. And that concludes this series on the new Lookup functions in SQL Server 2. R2 Reporting Services. I hope you find these explanations useful. I admit that I havent had a compelling need for them, but thats because I do the necessary integration in the back end first either by querying a data martwarehouse or by joining the data in the dataset. However, I can imagine scenarios where those two options arent available in which case having the Lookup functions as an alternative is helpful. What do you think Watch Movies Online Free in HD at Watch. Noregistration upload of files up to 250MB. Not available in some countries. BackgroundThe safety and efficacy of hydroxyethyl starch HES for fluid resuscitation have not been fully evaluated, and adverse effects of HES on survival and renal. 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You must also carefully balance rations and tax levels to maintain a steady income without upsetting loyal subjects, who may decide to revolt. The single player campaign spans eight realms, from Quaintville and Ireland to England and Germany. Up to four would be monarchs can battle each other via LAN or modem. Lords of the Realm II is a mixture of turn based county and economic management and real time combat. As the game begins, the king has died and 5 nobles including yourself are vying for control of the realm, including the noble Baron, the headstrong Knight, the ice princess The Countess, and the backstabbing Bishop. You have to hold on to your counties by building larger castles and keeping the peasantry happy and well fed. When you engage your enemy in battle is when the real fun starts. You are given a Warcraft type view of the battlefield with the units in your army and have to either get them to retreat a rarity or kill every last one of the little buggers. 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On the downside, there is no variety in terms of victory conditions you simply must conquer every county to win. This rigid condition, coupled with the level of micromanagement required for each county in the later stages, makes the game tiresome toward the end especially when you are clearly going to win, but must first tolerate the tedious process of crushing the last counties of the last enemy. Also, more castle types would have been nice although you get those in the Siege Pack add on. All in all, LOTRII will please fans of the first game, as well as anyone who likes turn basedreal time gameplay based in the medieval period. The game is not very original, but it is still a lot of fun and surprisingly replayable. Highly recommended to anyone who likes strategy games. Lords of the Realm is the sequel to the first game in the series, where you play one of the nobles of England. 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Archos Internet Tablet, WD TV and more. Best Ti. Vo and DVR recording converter with fast speed. Ti. Vo. tivo files recorded by a Ti. Vo DVR or lots of DVR shows can be converted to H. MPEG 4MP4 files for playback on i. Pad and other mobile devices, like i. Phone 4, i. Pod touch 4., or can be converted to AVIWMV for watching in Windows Media Player and Windows Media Center. Support batch processing facility. This program supports batch video processing function, so you can load and convert more than one video simultaneously to other video format, and this helps save you lots of time. X faster conversion speed. Pavtube Video Converter supports NVIDIAs CUDA technology and ATI Stream AMD APP technology to help users accelerate conversion speed. If your computer is equipped with NVIDIA graphics card or an AMD graphics card with AMD APP technology, the GPU acceleration feature in Pavtube software application saves users lots of time when choosing H. Deinterlacing The deinterlacing option allows you to convert interlaced video into a non interlaced form, so that you can enjoy a better and clearer video effect. Apart from that, the program also provides various other special effects, like simple laplacian sharpen, gray, flip color, invert, aged film, etc. Add srt, ass, and With this Video Converter, you can add MXF, MOV, MTSAVCHD footages so you are able to get more fun when playing the converted video files. Trim and crop video clips. Trim function helps you select wanted movie scenes to rip or convert at will and leave out unwanted in saved file. Crop function enables you to cut off the black bars and unwanted area of the source movie easily. Merge multiple video clips into one file. Tick this Merge into one file box and Pavtube application helps combine several selected video clips into one big file and convert it to your desired video format. Split one large file into smaller pieces. Using the Split function, you can split the selected video file into required several smaller video clips based on the clip quantity, duration time or file you set up. Add test, image, and video watermark. The program supports adding text, image including GIF and video watermarks to your video clips and enables you to experience better video display quality on your devices. Customize volume in saved file. With this feature, you are allowed to adjust the volume in BDDVD movie before output to make sure you receive better video and audio entertainment. Capture the snapshot images. You can capture and save your beloved video scenes as snapshots images. |
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