Archive for : September, 2014

Big Data Opensource Tools

20140925_BigDataOpensourceTools

Big Data Analysis Platforms and Tools

1. Hadoop
You simply can’t talk about big data without mentioning Hadoop. The Apache distributed data processing software is so pervasive that often the terms “Hadoop” and “big data” are used synonymously. The Apache Foundation also sponsors a number of related projects that extend the capabilities of Hadoop, and many of them are mentioned below. In addition, numerous vendors offer supported versions of Hadoop and related technologies. Operating System: Windows, Linux, OS X.

2. MapReduce
Originally developed by Google, the MapReduce website describe it as “a programming model and software framework for writing applications that rapidly process vast amounts of data in parallel on large clusters of compute nodes.” It’s used by Hadoop, as well as many other data processing applications. Operating System: OS Independent.

3. GridGain
GridGrain offers an alternative to Hadoop’s MapReduce that is compatible with the Hadoop Distributed File System. It offers in-memory processing for fast analysis of real-time data. You can download the open source version from GitHub or purchase a commercially supported version from the link above. Operating System: Windows, Linux, OS X.

4. HPCC
Developed by LexisNexis Risk Solutions, HPCC is short for “high performance computing cluster.” It claims to offer superior performance to Hadoop. Both free community versions and paid enterprise versions are available. Operating System: Linux.

5. Storm
Now owned by Twitter, Storm offers distributed real-time computation capabilities and is often described as the “Hadoop of realtime.” It’s highly scalable, robust, fault-tolerant and works with nearly all programming languages. Operating System: Linux.

Databases/Data Warehouses

6. Cassandra
Originally developed by Facebook, this NoSQL database is now managed by the Apache Foundation. It’s used by many organizations with large, active datasets, including Netflix, Twitter, Urban Airship, Constant Contact, Reddit, Cisco and Digg. Commercial support and services are available through third-party vendors. Operating System: OS Independent.

7. HBase
Another Apache project, HBase is the non-relational data store for Hadoop. Features include linear and modular scalability, strictly consistent reads and writes, automatic failover support and much more. Operating System: OS Independent.

8. MongoDB
MongoDB was designed to support humongous databases. It’s a NoSQL database with document-oriented storage, full index support, replication and high availability, and more. Commercial support is available through 10gen. Operating system: Windows, Linux, OS X, Solaris.

9. Neo4j
The “world’s leading graph database,” Neo4j boasts performance improvements up to 1000x or more versus relational databases. Interested organizations can purchase advanced or enterprise versions from Neo Technology. Operating System: Windows, Linux.

10. CouchDB
Designed for the Web, CouchDB stores data in JSON documents that you can access via the Web or or query using JavaScript. It offers distributed scaling with fault-tolerant storage. Operating system: Windows, Linux, OS X, Android.

11. OrientDB
This NoSQL database can store up to 150,000 documents per second and can load graphs in just milliseconds. It combines the flexibility of document databases with the power of graph databases, while supporting features such as ACID transactions, fast indexes, native and SQL queries, and JSON import and export. Operating system: OS Independent.

12. Terrastore
Based on Terracotta, Terrastore boasts “advanced scalability and elasticity features without sacrificing consistency.” It supports custom data partitioning, event processing, push-down predicates, range queries, map/reduce querying and processing and server-side update functions. Operating System: OS Independent.

13. FlockDB
Best known as Twitter’s database, FlockDB was designed to store social graphs (i.e., who is following whom and who is blocking whom). It offers horizontal scaling and very fast reads and writes. Operating System: OS Independent.

14. Hibari
Used by many telecom companies, Hibari is a key-value, big data store with strong consistency, high availability and fast performance. Support is available through Gemini Mobile. Operating System: OS Independent.

15. Riak
Riak humbly claims to be “the most powerful open-source, distributed database you’ll ever put into production.” Users include Comcast, Yammer, Voxer, Boeing, SEOMoz, Joyent, Kiip.me, DotCloud, Formspring, the Danish Government and many others. Operating System: Linux, OS X.

16. Hypertable
This NoSQL database offers efficiency and fast performance that result in cost savings versus similar databases. The code is 100 percent open source, but paid support is available. Operating System: Linux, OS X.

17. BigData
This distributed database can run on a single system or scale to hundreds or thousands of machines. Features include dynamic sharding, high performance, high concurrency, high availability and more. Commercial support is available. Operating System: OS Independent.

18. Hive
Hadoop’s data warehouse, Hive promises easy data summarization, ad-hoc queries and other analysis of big data. For queries, it uses a SQL-like language known as HiveQL. Operating System: OS Independent.

19. InfoBright Community Edition
This scalable data warehouse supports data stores up to 50TB and offers “market-leading” data compression up to 40:1 for improved performance. Commercial products based on the same technology can be found at InfoBright.com. Operating System: Windows, Linux.

20. Infinispan
Infinispan from JBoss describes itself as an “extremely scalable, highly available data grid platform.” Java-based, it was designed for multi-core architecture and provides distributed cache capabilities. Operating System: OS Independent.

21. Redis
Sponsored by VMware, Redis offers an in-memory key-value store that can be saved to disk for persistence. It supports many of the most popular programming languages. Operating System: Linux.

Business Intelligence

22. Talend
Talend makes a number of different business intelligence and data warehouse products, including Talend Open Studio for Big Data, which is a set of data integration tools that support Hadoop, HDFS, Hive, Hbase and Pig. The company also sells an enterprise edition and other commercial products and services. Operating System: Windows, Linux, OS X.

23. Jaspersoft
Jaspersoft boasts that it makes “the most flexible, cost effective and widely deployed business intelligence software in the world.” The link above primarily discusses the commercial versions of its applications, but you can find the open source versions, including the Big Data Reporting Tool at JasperForge.org. Operating System: OS Independent.

24. Palo BI Suite/Jedox
The open source Palo Suite includes an OLAP Server, Palo Web, Palo ETL Server and Palo for Excel. Jedox offers commercial software based on the same tools. Operating System: OS Independent.

25. Pentaho
Used by more than 10,000 companies, Pentaho offers business and big data analytics tools with data mining, reporting and dashboard capabilities. Seethe Pentaho Community Wiki for easy access to the open source downloads. Operating System: Windows, Linux, OS X.

26. SpagoBI
SpagoBI claims to be “the only entirely open source business intelligence suite.” Commercial support, training and services are available. Operating System: OS Independent.

27. KNIME
The Konstanz Information Miner, or KNIME, offers user-friendly data integration, processing, analysis, and exploration. In 2010, Gartner named KNIME a “Cool Vendor” in analytics, business intelligence, and performance management. In addition to the open source desktop version, several commercial versions are also available. Operating System: Windows, Linux, OS X.

28. BIRT/Actuate
Short for “Business Intelligence and Reporting Tools,” BIRT is an Eclipse-based tool that adds reporting features to Java applications. Actuate is a company that co-founded BIRT and offers a variety of software based on the open source technology. Operating System: OS Independent.

Data Mining

29. RapidMiner/RapidAnalytics
RapidMiner claims to be “the world-leading open-source system for data and text mining.” RapidAnalytics is a server version of that product. In addition to the open source versions of each, enterprise versions and paid support are also available from the same site. Operating System: OS Independent.

30. Mahout
This Apache project offers algorithms for clustering, classification and batch-based collaborative filtering that run on top of Hadoop. The project’s goal is to build scalable machine learning libraries. Operating System: OS Independent.

31. Orange
This project hopes to make data mining “fruitful and fun” for both novices and experts. It offers a wide variety of visualizations, plus a toolbox of more than 100 widgets. Operating System: Windows, Linux, OS X.

32. Weka
Short for “Waikato Environment for Knowledge Analysis,” Weka offers a set of algorithms for data mining that you can apply directly to data or use in another Java application. It’s part of a larger machine learning project, and it’s also sponsored by Pentaho. Operating System: Windows, Linux, OS X.

33. jHepWork
Also known as “jWork,” this Java-based project provides scientists, engineers and students with an interactive environment for scientific computation, data analysis and data visualization. It’s frequently used in data mining, as well as for mathematics and statistical analysis. Operating System: OS Independent.

34. KEEL
KEEL stands for “Knowledge Extraction based on Evolutionary Learning,” and it aims to help uses assess evolutionary algorithms for data mining problems like regression, classification, clustering and pattern mining. It includes a large collection of existing algorithms that it uses to compare and with new algorithms. Operating System: OS Independent.

35. SPMF
Another Java-based data mining framework, SPMF originally focused on sequential pattern mining, but now also includes tools for association rule mining, sequential rule mining and frequent itemset mining. Currently, it includes 46 different algorithms. Operating System: OS Independent.

36. Rattle
Rattle, the “R Analytical Tool To Learn Easily,” makes it easier for non-programmers to use the R language by providing a graphical interface for data mining. It can create data summaries (both visual and statistical), build models, draw graphs, score datasets and more. Operating System: Windows,

37. Gluster
Sponsored by Red Hat, Gluster offers unified file and object storage for very large datasets. Because it can scale to 72 brontobytes, it can be used to extend the capabilities of Hadoop beyond the limitations of HDFS (see below). Operating System: Linux.

38. Hadoop Distributed File System
Also known as HDFS, this is the primary storage system for Hadoop. It quickly replicates data onto several nodes in a cluster in order to provide reliable, fast performance. Operating System: Windows, Linux, OS X.
Programming Languages

39. Pig/Pig Latin
Another Apache Big Data project, Pig is a data analysis platform that uses a textual language called Pig Latin and produces sequences of Map-Reduce programs. It helps makes it easier to write, understand and maintain programs which conduct data analysis tasks in parallel. Operating System: OS Independent.

40. R
Developed by Bell Laboratories, R is a programming language and an environment for statistical computing and graphics that is similar to S. The environment includes a set of tools that make it easier to manipulate data, perform calculations and generate charts and graphs. Operating System: Windows, Linux, OS X.

41. ECL
ECL (“Enterprise Control Language”) is the language for working with HPCC. A complete set of tools, including an IDE and a debugger are included in HPCC, and documentation is available on the HPCC site. Operating System: Linux.

Big Data Search

42. Lucene
The self-proclaimed “de facto standard for search libraries,” Lucene offers very fast indexing and searching for very large datasets. In fact, it can index over 95GB/hour when using modern hardware. Operating System: OS Independent.

43. Solr
Solr is an enterprise search platform based on the Lucene tools. It powers the search capabilities for many large sites, including Netflix, AOL, CNET and Zappos. Operating System: OS Independent.

Data Aggregation and Transfer

44. Sqoop
Sqoop transfers data between Hadoop and RDBMSes and data warehouses. As of March of this year, it is now a top-level Apache project. Operating System: OS Independent.

45. Flume
Another Apache project, Flume collects, aggregates and transfers log data from applications to HDFS. It’s Java-based, robust and fault-tolerant. Operating System: Windows, Linux, OS X.

46. Chukwa
Built on top of HDFS and MapReduce, Chukwa collects data from large distributed systems. It also includes tools for displaying and analyzing the data it collects. Operating System: Linux, OS X.

Miscellaneous Big Data Tools

47. Terracotta
Terracotta’s “Big Memory” technology allows enterprise applications to store and manage big data in server memory, dramatically speeding performance. The company offers both open source and commercial versions of its Terracotta platform, BigMemory, Ehcache and Quartz software. Operating System: OS Independent.

48. Avro
Apache Avro is a data serialization system based on JSON-defined schemas. APIs are available for Java, C, C++ and C#. Operating System: OS Independent.

49. Oozie
This Apache project is designed to coordinate the scheduling of Hadoop jobs. It can trigger jobs at a scheduled time or based on data availability. Operating System: Linux, OS X.

50. Zookeeper
Formerly a Hadoop sub-project, Zookeeper is “a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.” APIs are available for Java and C, with Python, Perl, and REST interfaces planned. Operating System: Linux, Windows (development only), OS X (development only).

Referensi :  http://www.bigdata-startups.com/open-source-tools/  |  http://www.datamation.com/

PR Anak Kelas 2 SD Yang Membuat Heboh Facebook

Beberapa hari yang lalu ada posting yang membuat heboh media sosial. Kasusnya adalah sebagai berikut: Seorang siswa kelas 2 SD mendapat PR matematika perkalian sederhana oleh gurunya. Kakak dari siswa tersebut turut membantu. Celakanya, jawaban sang kakak bukannya menghasilkan nilai 100 tetapi hanya dihargai 20 alias: hampir semua jawaban ‘salah’. Tanda kutip di sini artinya menurut versi guru. Akibatnya sang kakak melakukan protes dengan menulis paragraf pembelaan dengan argumen bahwa 4 x 6 sama dengan 6 x 4.20140923_PRAnak2SDMembuatHebohFacebook

Reaksi pertama saya sebagai seorang guru dan ilmuwan tentu adalah perasaan terusik. Bagaimanapun seorang guru dikirimi surat ‘cinta’ dari orang yang tidak seharusnya mengerjakan PR-nya tampak sebagai suatu ‘pelecehan’. Tetapi otak rasional yang terasah akan segera menyampingkan semua perasaan dan mengakifkan koneksi ‘logika’.

Ok mari kita bahas soal nomor 1. saja karena soal berikutnya adalah identik.

4 + 4 + 4+ 4 + 4+ 4 = x =

soal ini sangat sederhana karena memang merupakan soal penjumlahan dan perkalian bilangan bulat. Jujur saja kalau Anda diberikan soal seperti ini pasti jawabannya langsung keluar. Saya yakin jawabannya hampir berimbang antara 4 x 6 dan 6 x 4 bahkan yang kreatif mungkin akan menuliskan 4 x 2 x 3 atau bahkan -4 x -6 atau versi lain yang juga menghasilkan hasil sama dengan 24.

Tapi dari cara guru tersebut menilai jawaban si anak, tampaknya bahwa satu-satunya jawaban yang valid atau benar hanyalah 6 x 4, atau ada 6 kali angka 4. Jawaban ini mungkin adalah jawaban yang sesuai dengan contoh sang guru juga mungkin berdasarkan argumen bahwa proses penghitungan harus sesuai karena misalnya minum obat 3 kali sehari tidak sama dengan satu kali 3. Lantas siapa yang benar?

Sebenarnya jawabannya tidak sulit kalau kita memahami fondasi matematika. Matematika adalah ilmu yang mempelajari bilangan, struktur, dan transformasi/operasi terkait. Dalam matematika setiap bilangan dikelompokkan dalam bentuk himpunan berdasarkan sifat-sifat yang melekat padanya. Misalkan dikenal klasifikasi bilangan prima yang merupakan anggota himpunan bilangan bulat. Selanjutnya bilangan bulat merupakan himpunan bilangan rasional dst. Kemudian operasi matematika yang melekat pada himpunan tertentu mengikuti sejumlah ketetapan atau aksioma. Misalkan, perkalian dua bilangan bulat atau secara lebih umum bilangan rasional bersifat komutatif artinya

jika A dan B adalah himpunan bilangan rasional maka A B = B A atau AB – BA = 0

juga berlaku sejumlahan aturan main lainnya seperti sifat tertutup (closed) yakni

A B juga harus merupakan himpunan bilangan rasional dan bukan himpunan bilangan irrasional misalnya. Juga dikenal sifat asosiatif, distributif dll.. Setiap formulasi ilmiah apakah itu dalam fisika, biologi, kimia, dll mengikuti aturan ini.

Dalam matematika yang dimaksud dengan pandangan yang berbeda adalah satu hal yang bisa dinyatakan oleh lebih dari satu ekspresi. Misalkan dalam fisika dikenal sebuah transformasi fourier yang menggambarkan suatu fungsi dalam kerangka berbeda (misalnya menghubungkan koordinat posisi dan koordinat momentum) namun informasi yang dikandung sama. Begitu juga 4 + 4 + 4 + 4 + 4 + 4 bisa diartikan 4-nya ada 6 kali dan ada 6 kali angka 4. Jika seorang anak selalu menggunakan 6 x 4 maka ia akan menjadi bingung jika ada orang yang menukarkan posisi padahal keduanya valid. Jadi tidak ada sudut pandang yang istimewa semua sudut pandang yang tidak bertentangan dengan validitas aturan operasi yang melekat pada himpunan bilangan harus merupakan jawaban yang sah. Anda mungkin berpikir bahwa saya terlalu jauh menafsirkan suatu aturan untuk anak SD namun hal ini akan dibawa terus dan yang dibutuhkan adalah konsistensi. Bahwa x disini adalah operasi matematik yang melambangkan perkalian jadi ada 6 kali angka 4 dan angka 4 nya ada 6 kali itu sama. Dua representasi yang setara. Jadi secara asas kebenaran yakni asas logika matematika yang valid si anak itulah yang benar! Karena ia menggunakan sifat komutatif dari operasi perkalian bilangan rasional.

Namun perlu digarisbawahi bahwa operasi perkalian dalam matematika tidak selalu komutatif. Misalkan jika A dan B adalah matriks maka secara umum A B tidak sama dengan B A , hanya jika kedua matriks A dan B bisa didiagonalisasi artinya hanya komponen diagonalnya saja yang bisa bernilai sedangkan komponen lainnya nol maka operasi komutatif berlaku. Contoh lainnya adalah jika A dan B adalah operator atau suatu yang baru memiliki nilai ketika dioperasikan pada sesuatu katakanlah fungsi f, secara umum tidak harus komutatif. Misalkan operator diferensial dalam fisika biasanya tidak selalu komutatif.

Ada argumen kontra bahwa maksud guru di sini mengajarkan proses perkalian, sehingga argumen di atas tidak bisa digunakan. Misalkan minum obat tiga kali sehari kan tidak sama dengan satu kali tiga, atau cicilan motor 20 kali 12 tidak sama dengan 12 kali 20. Di sini saya bisa membantah argumen tersebut sebagai berikut: Apakah ‘kali’ dalam kalimat sebelumnya adalah operator matematika dan A dan B adalah bilangan bulat atau rasional? Jika Anda katakan itu tidak sama maka kali di sini BUKAN operator matematika tetapi suatu makhluk lain misalkan bermakna linguistik: sebanyak n dalam waktu….
Jika Anda anggap sama maka Anda harus konsisten menerapkan definisi:
A= penggunaan
B = obat
A=3B=1Maka A B = 3 kali penggunaan x 1 dosis obat = 1 dosis obat x 3 kali penggunaan
Tidak bisa variabel obatnya (B) pindah ke penggunaan (A) karena definsisinya sudah ditetapkan di awal. Ini yang saya maksud dengan PRESISI dalam berhitung tidak asal asalan.

Jadi tidak bisa aturan linguistik seperti frase MD atau DM yang bermakna lain (menerangkan diterangkan) disamakan dengan operasi matematika. Kalau disamakan maka harus ikut DM = MD kalau tidak maka formulasi alam tidak bisa digunakan alias break down. Contoh luas segitiga adalah 1/2 A t, sama saja jika dikerjakan 1/2 t A atau A 1/2 t karena ketiganya adalah bilangan rasional bisa dikomutasikan. Jadi pola pikir satu solusi bisa bermasalah!

Seharusnya murid harus diajarkan fondasi matematiknya dulu kemudian dijelaskan bahwa kali dalam bahasa sehari hari tidak selalu sama dengan simbol kali x dalam matematika. Anak harus lebih banyak mengenal struktur dan bilangan misalnya dalam bentuk gambar atau objek ketimbang masuk ke operasi matematis yang formal. Kreativitas harus didahulukan. Ada kecenderungan bahwa pendidikan saat ini terlalu membebani anak dengan hal hal yang belum sesuai dengan perkembangan otak. Berikan ilustrasi dalam bentuk visual misalkan mengenai penggunaan obat sebanyak tiga kali sehari TANPA simbol x dalam matematika karena simbol itu jika dioperasikan pada 2 biloangan rasional bersifat komutatif. Kali dalam ranah linguistik seperti minum obat 3 kali bukan operasi matematika kalau ya maka bisa saja minum obatnya 3 x -1 x -1 x 2 x 1/2!!!

Jawaban soal di atas sudah benar, bahkan karena kedua ruas adalah angka bukan variabel maka tanda sama dengan mengijinkan sejumlah takhingga solusi yang benar, asalkan jumlah kedua ruas sama. Menyuruh siswa untuk menjawab sesuai guru bisa berbahaya karena di masa depan ia akan berpikir argumen by authority atau kuasa ketimbang argument by PROOF.

Jadi bagaimana mengajarkan pada anak? Menurut saya kita harus JUJUR bahwa dalam matematika 4 x 6 sama dengan 6 x 4 tapi kalau dalam sehari hari harus hati hati karena kata kali disini berbeda dengan yang di matematik. Memang kadang kebenaran itu sulit tapi suatu saat ketika si anak sudah mulai lebih tahu dia akan memahami bahwa apa yang dikatakan sang guru itu adalah ‘sahih’

Quod erat dozentum, eh salah demonstrandum (PROOF)!!!!

Tulisan Hendradi Hardhienata di Kompasiana tanggal 22 September 2014

Bootable Antivirus and Rescue System

Telah dua pekan lebih saya pindah ke kerja ke bagian yang tidak mengelola TI. Di tempat baru ini hanya tersedia sebuah PC ber-OS Windows, sehingga terpaksa saya kembali menggeluti miekocok yang telah saya tinggalkan lebih dari 5 tahun 🙁

Dunia miekocok tak lepas dari masalah virus, worm, dan sebagainya. Dalam rangka mempersenjatai diri menghadapi virus pagi saya googling, dan alhamdulillah ketemu artikel menarik seputar cara membuat bootable antivirus. Berikut adalah rangkumannya.

1. Anvi Rescue Disk
Anvi Rescue Disk is a really simple bootable virus scanner. There are only three main scan buttons, two sections to the program, and no custom settings. You can run a quick smart scan, a full system scan, or a custom scan to search for malware inside one or more specific folder. There’s also a section for finding and correcting corrupt registry issues that may have been altered by a virus. The only thing I don’t like about Anvi Rescue Disk is that you must scan the whole drive at once – you can not choose to scan single, specific files like you can with regular antivirus software. Anvi Rescue Disk Review & Free Download

2. AVG Rescue CD
AVG Rescue CD is a text-only free bootable antivirus program. It can check for potentially unwanted programs, scan cookies, find hidden file extensions, and even scan inside archives. Before you start a scan with AVG Rescue CD, you have the option to just scan a folder of your choice, just the boost sector, only the registry, or any locally attached hard drive. Download AVG Rescue CD

3. Avira Rescue System
Avira Rescue System is a free bootable antivirus program that also functions as a backup tool, as well as a registry editor, similar to the Windows Registry Editor. Avira Rescue System automatically updates its definitions before performing a scan, which is great so you don’t have to re-download the software every time you wish to use it. During a virus scan, compressed files are unpacked and scanned for added protection. Download Avira Rescue System

4. Bitdefender Rescue CD
Bitdefender Rescue CD is a free bootable virus scanner program that automatically checks for updates every time it’s launched. You can exclude certain file extensions from a scan, choose the maximum file size Bitdefender Rescue CD should scan, and optionally include archives with a scan. Bitdefender Rescue CD lets you search in individual folders if you wish to target a specific directory and not the whole drive. Download Bitdefender Rescue CD

5. Comodo Rescue Disk
In addition to the regular, installable Comodo Antivirus software, Comodo also has a free bootable antivirus program. Comodo Rescue Disk can be launched from a USB device or disc in either text-only mode or with a full graphical user interface (GUI). The GUI version has a familiar program interface which is much easier to use. There are three different scan types you can start with Comodo Rescue Disk: smart scan, full scan, or custom scan. Smart scan checks for viruses and rootkits in the memory, boot sectors, autorun entries, and other areas like the registry and system folder. A custom scan lets you choose individual files and folders to scan instead of an entire drive. You can also scan archives, enable heuristics scanning, and skip files over a specified size. Download Comodo Rescue Disk

6. Dr.Web LiveCD
Dr.Web LiveCD is a feature-filled free bootable virus scanner for Windows and Linux. There are plenty of configurable settings, like choosing the actions Dr.Web should take when finding infected, suspicious, or incurable files. Also, you can set what should occur in the event it detects specific issues like adware, dialers, jokes, hacktools, and riskware. You can also exclude directories from being scanned, set how large a file can be before it’s excluded from a scan, and define a maximum duration Dr.Web is allowed to spend scanning a single file. I like that Dr.Web can check for virus definition updates directly from the program. This means you can reuse the program in the future and all you have to do is update it before you do a scan. Download Dr.Web LiveCD

7. PC Tools’ Alternate Operating System Scanner
This utility is a bit different than the others in this list because PC Tools’ Alternate Operating System Scanner is a portion of a larger suite. The whole suite includes not only a virus scanner but also a system shell, file manager, data destruction utility, and file recovery tool. If malicious files are found, PC Tools’ Alternate Operating System Scanner will show a results page where you can disable them so they can’t do any harm to your other files. PC Tools’ Alternate Operating System Scanner

8. Windows Defender Offline
From Microsoft, Windows Defender Offline is a bootable virus scanner that sports a full user interface. You can update the virus definitions directly from the disc, view quarantined files, and exclude files, folders, and extension types from scans. Windows Defender Offline supports quick virus scans, full scans, and custom scans so you can choose your own folders and drives to scan. Download Windows Defender Offline

9. Trend Micro Rescue Disk
Trend Micro Rescue Disk is another free bootable antivirus tool that doesn’t have a graphical interface, meaning you’ll need to navigate entirely in text mode with the arrow keys. You can run a quick scan or a full scan depending on what areas you’d like checked. Trend Micro Rescue Disk is first downloaded as a regular program file that includes the bootable software. Just choose to install it on a USB device or CD. Download Trend Micro Rescue Disk

Sumber : http://pcsupport.about.com/

Membuat Bootable UEFI USB Flashdisk Windows7 x64bit

Sebelum mulai membuat bootable uefi usb flashdisk pastikan Anda telah memnyiapkan beberapa perlengkapan berikut:

  1. Flashdisk ukuran minimum 4GB
  2. File ISO Windows7 64bit
  3. Install 7-Zip

Mulai pembuatan (proses pembuatan dapat dilakukan di Windows7 maupun Windows8 yang 32bit), ikuti langkah-langkah berikut:

  • Tancapkan flashdisk ke komputer
  • Buka Command Prompt (cmd)
  • Siapkan flashdisk untuk diisi installer windows7 Ketikan perintah berikut ini:
    • C:\> diskpart
    • DISKPART> list disk
    • DISKPART> select disk # (tanda pagar di ganti dengan lokasi flashdisk anda)
    • DISKPART> clean
    • DISKPART> create partition primary
    • DISKPART> format fs=fat32 quick
    • DISKPART> active
    • DISKPART> assign
    • DISKPART> list volume
    • DISKPART> exit
  • Ekstrak file ISO Windows7 64bit menggunakan 7-Zip. Arahkan hasil ekstrak ke dalam flashdisk yang telah disiapkan pada langkah ketiga.
  • Membuat bootable Windows7 UEFI 64bit. Buka windows explorer, lalu masuk ke drive flashdisk yang sudah kita siapkan pada langkah ketiga dan keempat tadi.
  • Masuk ke folder “efi\microsoft\boot”, lalu copykan folder “boot” ke dalam folder “efi” sehingga dalam folder “efi” ada 2 subfolder yaitu “microsoft” dan “boot”.
  • Masuk ke folder “\sources\” lalu cari file “install.wim”, kemudian buka file tersebut dengan 7-Zip (loading perlu waktu beberapa saat).
  • Dalam folder (di lingkungan 7-Zip) “\sources\install.wim\” masuk ke subfolder-subfolder “\1\Windows\Boot\EFI\” sehingga path lengkapnya menjadi “\sources\install.wim\1\Windows\Boot\EFI\”.
  • Copy file “bootmgfw.efi” ke tempat lain, kemudian rename sehingga menjadi “bootx64.efi”.
  • Salin/pindahkan file yang telah direname tadi (“bootx64.efi”) ke flashdik dalam folder “efi\boot”.
  • Eject media. Flashdisk telah siap digunakan!

Semoga bermanfaat.