Jumat, 23 April 2010

Download PDF New York Cult Recipes, by Marc Grossman

Download PDF New York Cult Recipes, by Marc Grossman

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New York Cult Recipes, by Marc Grossman

New York Cult Recipes, by Marc Grossman


New York Cult Recipes, by Marc Grossman


Download PDF New York Cult Recipes, by Marc Grossman

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New York Cult Recipes, by Marc Grossman

Review

"It’s cookbook season, and a couple stand out as must-haves for New York gourmands. "New York Cult Recipes'  was written by former New Yorker Marc Grossman, who now lives in Paris with his family and missed the food he grew up with, like black and white cookies, matzo ball soup and cheesecake. The book, which is beautifully shot in locations like Katz’s Deli and Murray’s Sturgeon Shop, features instructions on how to make the dishes when you’re far from the Big Apple." —New York Daily News " . . . the book feels very true to American culinary traditions and trends . . . Featuring a fresh design and doable recipes for many of America’s favorite comfort foods, this cookbook will make a great gift for anyone who loves New York.” —Library Journal

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About the Author

Marc Grossman grew up in New York and now lives in Paris with his wife and children. What began, for the author, as “a minor homesick craving—say, for a fresh bialy from Kossar's or a piece of cheesecake from Junior's"—grew into a “full-blown culinary obsession,” which, happily, has resulted in a splendid collection of recipes and photographs that recreate the wildly varied experience of eating in New York. Grossman is the creator of two organic food establishments located in Paris—Bob's Juice Bar and Bob's Kitchen. He has also written books on smoothies, muffins, and bagels.

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Product details

Hardcover: 274 pages

Publisher: Sterling Epicure (October 7, 2014)

Language: English

ISBN-10: 1454912065

ISBN-13: 978-1454912064

Product Dimensions:

8.5 x 1.5 x 10.8 inches

Shipping Weight: 2.9 pounds (View shipping rates and policies)

Average Customer Review:

4.7 out of 5 stars

8 customer reviews

Amazon Best Sellers Rank:

#493,795 in Books (See Top 100 in Books)

If you grew up in NYC back in the day you will have problems with this book.I am being generous in my rating, if nothing more than for the use of "flapjacks." No one, but no one in New York City would EVER say this, and it almost delegitimized the whole book for me. It's PANCAKES. I almost fainted when I saw this. And "Silver Dollar Flapjacks?" Are you kidding me?First off, the title markets the book one way and the fine print and recipes another. I thought I was buying a book that dealt solely with classic dishes associated with NYC during a certain period, say maybe post-WWII through the 1980s. I have no problem giving plenty of latitude, but a green smoothie and all those cupcakes? A veggie burger?I certainly would not have jazzed up or updated classic recipes to the extent of a chicken salad with avocado instead of mayo. There are a million other cookbooks out there that take classic recipes to a place that's more acceptable to current tastes.Yes, there are numerous recipes for "iconic" NYC dishes, as well as some nice little extras, but there are things the author could have included rather than expending real estate on dishes that make you go "huh?". Peanut butter smoothie?The author makes it clear in his intro that these recipes are specific to his unique experience (I am paraphrasing here), which basically takes him off the hook for whatever he wanted to include. No problem, but then convey that in the title.How about including a knock-off Papaya King drink recipe and Biscuit Tortoni recipe in place of some of those donuts? How about an egg and potato hero -- something that screams New York City back in the day? There are many iconic dishes that could have been included rather than those from more recent trends.Here are a couple nits I need to pick:His fermented pickles (Slow Pickles) call for distilled water. Many serious fermenters, myself included, would never, ever use distilled water because it's stripped of everything -- including the minerals a ferment needs. Any person wanting to use natural fermentation to make pickles needs to do their research. Seriously. You need to know what you're doing and make your choice about water (I use spring water) accordingly. Also, standard off-the-shelf pickling spices have no place in NY-style/Kosher-style dill pickles. The author plays fast and loose with spices in his recipe, but if you want the real deal, start with just peppercorns and maybe a few mustard seeds and see how you like that.More about the pickles. What the author says about half-sours is incorrect. They are not pickled in a full brine and taken out sooner. They are fermented in a weaker brine. Fermenting in a weak brine is potentially hazardous, so it may be safer to approximate a half-sour by his method (I do this sometimes, too), but I have to wonder about the research here. The recipe comes across as all book-work with little hands-on experience.That said, there are many very nice recipes here. It is just not "130 Recipes for the City's Most Iconic Foods," unless you consider a Chocolate Protein Drink classic NYC.

This cookbook is filled with exciting recipes. It's a fun book to give as a gift.

ok

Excellent!

very nice with great pictures

Great temptations for an Aussie. The recipes are interesting and adventurous for an Australian. I love New York and try to experience it even when I'm not there.

Fantastic cookbook. Great recipes.

Great

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Kamis, 22 April 2010

Ebook Download Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl)

Ebook Download Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl)

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Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl)

Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl)


Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl)


Ebook Download Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl)

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Big Data Fundamentals: Concepts, Drivers & Techniques (The Prentice Hall Service Technology Series from Thomas Erl)

About the Author

Thomas Erl is a top-selling IT author, founder of Arcitura Education and series editor of the Prentice Hall Service Technology Series from Thomas Erl. With more than 200,000 copies in print worldwide, his books have become international bestsellers and have been formally endorsed by senior members of major IT organizations, such as IBM, Microsoft, Oracle, Intel, Accenture, IEEE, HL7, MITRE, SAP, CISCO, HP and many others. As CEO of Arcitura Education Inc., Thomas has led the development of curricula for the internationally recognized Big Data Science Certified Professional (BDSCP), Cloud Certified Professional (CCP) and SOA Certified Professional (SOACP) accreditation programs, which have established a series of formal, vendor-neutral industry certifications obtained by thousands of IT professionals around the world. Thomas has toured more than 20 countries as a speaker and instructor. More than 100 articles and interviews by Thomas have been published in numerous publications, including The Wall Street Journal and CIO Magazine. Wajid Khattak is a Big Data researcher and trainer at Arcitura Education Inc. His areas of interest include Big Data engineering and architecture, data science, machine learning, analytics and SOA. He has extensive .NET software development experience in the domains of business intelligence reporting solutions and GIS. Wajid completed his MSc in Software Engineering and Security with distinction from Birmingham City University in 2008. Prior to that, in 2003, he earned his BSc (Hons) degree in Software Engineering from Birmingham City University with first-class recognition. He holds MCAD & MCTS (Microsoft), SOA Architect, Big Data Scientist, Big Data Engineer and Big Data Consultant (Arcitura) certifications. Dr. Paul Buhler is a seasoned professional who has worked in commercial, government and academic environments. He is a respected researcher, practitioner and educator of service-oriented computing concepts, technologies and implementation methodologies. His work in XaaS naturally extends to cloud, Big Data and IoE areas. Dr. Buhler’s more recent work has been focused on closing the gap between business strategy and process execution by leveraging responsive design principles and goal-based execution. As Chief Scientist at Modus21, Dr. Buhler is responsible for aligning corporate strategy with emerging trends in business architecture and process execution frameworks. He also holds an Affiliate Professorship at the College of Charleston, where he teaches both graduate and undergraduate computer science courses. Dr. Buhler earned his Ph.D. in Computer Engineering at the University of South Carolina. He also holds an MS degree in Computer Science from Johns Hopkins University and a BS in Computer Science from The Citadel.

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Product details

Series: The Prentice Hall Service Technology Series from Thomas Erl

Paperback: 240 pages

Publisher: Prentice Hall; 1 edition (January 15, 2016)

Language: English

ISBN-10: 0134291077

ISBN-13: 978-0134291079

Product Dimensions:

6.9 x 0.7 x 9 inches

Shipping Weight: 13.4 ounces (View shipping rates and policies)

Average Customer Review:

3.8 out of 5 stars

6 customer reviews

Amazon Best Sellers Rank:

#202,677 in Books (See Top 100 in Books)

This book is divided into two parts with the first part introducing concepts about Big Data, and the second part discussing implementations of Big Data. I found the first part to use confusing wording, while the second part was written much better. I would give the first part 3-stars and the second part 5-stars if I was rating them individually.The first part of the book (Chapters 1-4) introduces a lot of acronyms and words that were glossed over. A lot of sentences were written in overly complicated language. To give an example on page 36 the discussion is about Business Process Management:"When BPM is combined with BPMSs that are intelligent, processes can be executed in a goal-driven manner. Goals are connected to process fragments that are dynamically chosen and assembled at run-time in alignment with the evaluation of the goals. When the combination of Big Data analytics results and goal-driven behavior are used together, process execution can become adaptive to the marketplace and responsive to environmental conditions."I found wording like this to be bogged down in corporate mumbo-jumbo and had I difficulty understanding in a lot of places.Chapter three felt particularly lazy to me. The exact same diagram that took up 3/4th's of the page was used 10 seperate times in chapter without any variation to the diagram (see the attached photo to get an idea). It shows a nine-step process, and for each step the diagram is shown without even highlighting the step we are on.Luckily the second part redeems itself. MapReduce, different NoSQL databases, analytic techniques, and storage techniques were described well here. The second part of the book gave much clearer and more concrete examples. The writing was much better in the second part of the book. This led me to believe the parts were written mostly seperately by the authors.Linking the chapters together is an insurance company called ETI. This is used as a case study at the end of each chapter. I felt the choice of an aging insurance company to be uninspiring for a big data solution. The analysis was oversimplified in these sections. For example, the authors might say something like the engineers at ETI are unfamiliar with CAP Theorem so they may need additional training. Or in one part, they said the company chose to go with a NoSQL database, but they do not mention what type of NoSQL database. I also noticed the writing in the second part to be better for these sections as well.Overall this book does a decent job of conveying the concepts for big data. It is heavily geared towards a corporate environment as there is almost zero talk of implementating a Big Data solution on your own. I felt it covered the topic pretty well though, but would have like to see the authors discuss specific technologies more, rather than gearing the book towards getting certified in Big Data.

From the beginning well explained concepts and in every chapter the connections of concepts and the case study. Definitely a book to buy to understand in which case you could use: MongoDB, Cassandra or CouchDB

Solid intro book on the subject.

It is too basic and does not provide much detail. The book is good for someone who is not working in the area but want too have a small tour.

Great book that is an easy read

It's a good book with some useful the case study examples.But the content can be more succinct. For example, it's silly to put the figure of Big Data analytics lifecycle (nine stages) 9 times for every stage.

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