Fact Check That Viral Image in Two Clicks.Major news events like Hurricane Harvey produce thousands of photos, and thousands more tweets and Facebook posts of fake, outdated or out of context photos.This time the big winner is a photoshop of a shark on the freeway, which pops up during every major hurricane.Before you join the 6.VIS4I8bmPo/WCntvDWWlRI/AAAAAAAABgM/27uzuAP8WpoF4HWHKnyYxprKXMTuS0VywCLcB/s1600/adobe%2Bcc.bmp' alt='Call Of Duty 4 Crack Code For Photoshop' title='Call Of Duty 4 Crack Code For Photoshop' />Enter your email address to subscribe to this blog and receive notifications of new posts by email.In Chrome, right click the image, then click Search Google for Image.And boom, you see if theres a source or ten blog posts debunking it.Buzz.Feed reporter Jane Lytvynenko breaks it down into baby steps And heres the slightly longer process on mobile Its a pain, but if you dont do this, youll have to admit youre more interested in attention than you are in the truth.And when all your followers see you fall for a hoax, theyll unfollow you for being a dummy.But youre not a dummy and youre not attention starved, so youll fact check before you retweet, and no fake image will ever go viral againThe app is certainly a relic, from a time when the casual computer user couldnt crack open Photoshop or Skitch or Pixelmator or thousands of web apps.Meanwhile, follow the Washington Posts running list of Hurricane Harvey hoaxes, or Buzz.Feeds list of the same.Update Aug 3.AM Lytvynenko pointed us to a simple mobile interface for Google Reverse Image Search via Clayton Cubitt.To look up an image, just save it to your camera roll, then go to that page to look it up.On i.OS, thats just a 1.RIP, Microsoft Paint.MS Paint, the first app you used for editing images, will probably be killed off in future updates of Windows 1.Paint 3.Download Football Videos In Mp4 Format . Drivers For Intel Celeron Motherboard Drivers .
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SQL Server 2017 will be bringing us support for some of the functionality of graph databases.Graph databases are unlike relational databases in that they represent.SQLines provides tools and services to help you transfer data, convert database schema DDL, views, stored procedures and functions, triggers, queries, embedded SQL.Microsoft SQL Server Hardware Evaluation and Sizing Best Practices Guide Part 2Continuing on from the FIRST post to this series, this installment focuses on arguably the most important aspects of SQL Server hardware sizing CPU, RAM and storage selection.Lets start with a processor selection.CPUCentral processing unit is the heart of every system and that is particularly evident when dealing with database workloads as CPU selection drives other components selection e.CPU sockets you can have in the server, physical memory capacity, IO capacity and upgrade path etc.SQL Server can work with both Intel and AMD processors, however, there are some distinct differences between the two options.Intel has been dominating the single threaded performance race for a long time now whereas most modern AMD CPUs have a high physical core count which sometimes makes them more suitable, when compared to Intel counterparts, for certain types of deployments e.SQL Server Business Intelligence edition licensed per server CALs rather than cores.Starting with SQL Server 2.Microsoft introduced SQL Server Core Factor table which allows for up to 2.AMD CPUs, however, AMD CPUs are still difficult to recommend given their lower overall single threaded performance and increased licensing cost.As a result of that I will only be discussing Intel CPUs selection for SQL Server deployments.Based on the current range of CPUs from Intel Q1, 2.OLTP and DWDSS workloads based on the socket types.As new and improved processors are introduced the above list will gradually become less applicable so make sure you look at Intel website for new or upcoming releases.Also, rather than just taking a blind shot at the CPU model, it is always a good practice to analyse CPUs performance using benchmarking tools or at least look at the scores obtained by the systems utilizing those chips if available online.The two most commonly used ones are TPC E OLTP focused and TPC H Decision Support focused benchmarks.TPC Benchmark E TPC E is an On Line Transaction Processing OLTP workload developed by the TPC.The TPC E benchmark uses a database to model a brokerage firm with customers who generate transactions related to trades, account inquiries, and market research.The brokerage firm in turn interacts with financial markets to execute orders on behalf of the customers and updates relevant account information.The benchmark is scalable, meaning that the number of customers defined for the brokerage firm can be varied to represent the workloads of different size businesses.The benchmark defines the required mix of transactions the benchmark must maintain.The TPC E metric is given in transactions per second tps.It specifically refers to the number of Trade Result transactions the server can sustain over a period of time.Although the underlying business model of TPC E is a brokerage firm, the database schema, data population, transactions, and implementation rules have been designed to be broadly representative of modern OLTP systems.Current 1. 8 March, 2.TPC E performers are as per the screenshot below.The TPC BenchmarkH TPC H is a decision support benchmark.It consists of a suite of business oriented ad hoc queries and concurrent data modifications.The queries and the data populating the database have been chosen to have broad industry wide relevance.This benchmark illustrates decision support systems that examine large volumes of data, execute queries with a high degree of complexity, and give answers to critical business questions.The performance metric reported by TPC H is called the TPC H Composite Query per Hour Performance Metric Qph.HSize, and reflects multiple aspects of the capability of the system to process queries.These aspects include the selected database size against which the queries are executed, the query processing power when queries are submitted by a single stream, and the query throughput when queries are submitted by multiple concurrent users.The TPC H PricePerformance metric is expressed as Qph.HSize. Current 1.March, 2. 01. 5 top TPC H performers are as per the screenshot below.Storage. Properly configured storage, another key component of deploying a robust SQL Server infrastructure, can have a drastic impact on how you database performs.There is a multitude of factors to consider e.As discussed in PART 1 of this series, SQL Server can perform a few different types of workloads e.OLTP, DWDSS, OLAP or a mixture of those.These workloads have different IO access patterns and the choices in storage should reflect those.Here are some of the most common storage activities and characteristics performed by the database that reflect those.OLTP workloads have frequent writes to data files and log files as well as frequent random reads from data files if the database does not fit into memory.DWDSS workloads large sequential read from data files.OLAP workloads frequent, random reads from cubes.SQL Server can be typically deployed onto five different types of storage which as was the case with the workload types, will affect performance levels.These are Internal drives your traditional magnetic drives or more modern solid state drives SSDsPCI E storage cards.Storage Area Network SANDirect attached storage.Server message block SMB file shares Windows Server 2.Nevertheless, storage type is not the only culprit of poor storage related performance issues.These can also come from RAID level that the disks have been provisioned with, number of disks, disk speed e.K drives or 1. 5K drives, bandwidth of the RAID controller and many more so its important to not only look at the storage medium type but also at the extra features it carries and how it has been provisionedconfigured.The following 1. SQL Server.Event though the above applies to storage configuration in general, regardless of whether the workload targets OLTP or DWDSS environments, data warehouse systems rely heavily on storage access speed as the copious volumes of data cannot be cached in memory.Selecting the fastest storage medium and configuration with the best sequential read speed e.PCI E cards in RAID1 array will provide a significant performance boost.If PCI E cards cost is considered prohibitive, solid state drives can deliver much better performance over magnetic disk drives on a budget whilst including simplified management, lower operational costs, and predictable maintenance.The following advantages typically characterize SSD storage and its choice over magnetic disk drives.Simplified management Solid state storage does not require fragmentation management.The SQL Server startup option E should still be used, but no further optimization or management of page allocation is required.This simplification makes long term management of FTDW environments significantly easier.In addition, larger disk groups and lower volumeLUN counts can be used with no negative performance implications.This change simplifies filegroup creation and maintenance.IO resiliency Solid state storage has minimal performance degradation under high concurrency or page fragmentation.In addition, mixed random read seek workload does not negatively impact large request scan IO patterns.Predictable maintenance Many solid state storage options provide software based write life monitoring with lower frequency of difficult to predict physical failures.Lower operational cost While more expensive at list price, solid state storage offers a more efficient balance of IO throughput to capacity per unit.Effective FTDW workload IO rates for 3.GB 1. 0k SAS HDD average 5.MBs. Enterprise MLC SSD delivers between 1.MBs at 6. 00 GB capacity.Additionally, solid state storage draws significantly less power, generates less heat, and often supports higher density solutions.Additional to the storage configuration guidelines outline above, the following adjustments can be employed to maximise DWDSS performance when coupled with a solid state drives for primary data storage.If mirroring is required, RAID10 or RAID5 can be used.RAID5 provides the best capacity at no performance penalty for FTDW workloads on solid state.LUN and volume count can be reduced to as low as one PRI volume per storage unit.It is helpful in some cases to have the PRI volume count be a multiple of the CPU core count.The minimum PRI volume count is two. Questions and Answers from the Community. Looking for questions to answer Try browsing to a category you like, and then click the Unanswered link upper left. 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Aardvarks, with their constant burrowing and excavating, are ecosystem engineers, modifying the physical environment in a way that creates shelter and resources for scores of other creatures.Beavers do it when they dam waterways, for example.The loss of these types of engineers in places like Australia has already been shown to damage ecosystems.There are many lifeforms that stand to lose from the disaster that is drought induced aardvark starvation, preschoolers learning their ABCs and meme makers just some of them.If Africa continues to heat up and dry out, as is expected in future decades, less and less territory will be suitable for aardvarks, and their range will substantially shrink.While it is possible some regions that were previously too swampy and waterlogged for aardvarks to successfully inhabit could become hospitable as they dried out, it would come at a loss of other ecosystems, and aardvarks would still have a greatly diminished presence on the continent as former grasslands transition to deserts.The widespread loss of aardvarks is not entirely destiny, but their survival largely depends on humanity addressing climate change.Jake Buehler is a Seattle area science writer with an adoration for the Tree of Lifes weird, wild, and unsungfollow him on Twitter or at his blog. 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