Elasticsearch Case

Consider the increase in twitter data volume once the application in production.it could be 100MB/day on single tweet.

We need to have a secure services and network and also it must be available sometime up to 24/7/365. To make sure that we are close to our Service level agreement (SLA) with our clients, we must check our performance to find the bottleneck. After identifying our bottlenecks we can plan and see what changes can improve our performance.

1. Description of the service-summary The service that we are going to research and try to incorporate into the organization is cloud infrastructure as a service. We are planning to provide the end user with a well maintained network storage that would be easily accessible from any location while maintaining a secured connection and redundancy of the client data. With the changes in technology and advancements in cloud services, we should be able to save some money for the organization by going to cloud infrastructure services and limiting the maintenance and hardware cost of housing our own servers.We currently house 44+ servers in our service area, most of the servers are being used to less than 30% of capacity while others are reaching a peak 80-90% capacity. The servers house the client’s p: drive (personal data) as well as

When it comes to storage for these instances both services give you have a few options, you can choose a regular SSD, an optimized SSD or even a HDD. The option you choose will be reflected on the speed of the drive. When it comes to pricing, Amazon gives you a better deal on the SSD and Google gives you a better price on the HDD as shown in Figure 8. Even though the price difference seems minimal, the cost can add up once you start adding large amounts of storage. For example, it you decided to add a 16,384 GB SSD volume for EC2, the price would be $1,638.40 every month. The same amount of memory of SSD with Google Compute Engine would cost $27,85.28 every month. That is $1,146 in difference. This is an area where you have to

Using Little’s Formula we have done Lead Time Analysis (Exhibit 4) which shows that on an average Lead Time is approximately 2 days (2.10). As we have seen, throughput on the other hand is approximately 6 days which is much higher than the average Lead Time. This suggests that the longer throughput time is because of allocation problems described

After Yahoo, the most popular search sites are AltaVista, Cade, Radar UOL, StarMedia, Infoseek, Lycos and Excite.

Proclaimed as the hottest company since Google and Facebook, Twitter introduced a revolutionary micro-blogging service in 2006 that allowed users to spread and share short messages of 140 characters (“tweets”) with friends and strangers subscribing to follow their communication flow (as so called “followers”) in order to find out what is happening right now from any point of the globe.

Competition in the search industry is high. There are several search engines available, albeit Google holds the top percentage. Some of Google’s opposing forces are Yahoo!, Bing, and MSN search. The strongest is competitive rivalry and the weakest is buyer power. There is a big rivalry amongst search engines in gaining the newest advances and best technology to suit the customer. Buyer power is weak because there is no substitute for an online search engine. You could use an encyclopedia or something of that nature, but with online search engines,

I choose Lexis/Nexis for my paid information service. After all the 4 search engines I realize that all the website game me the same information. It only showed me links that will only take me back to their website or other services. The difference between paid site and nonpaid sites is that the owner can pay the search engine to only show the website and other services before any other site.

While doing some of my research, I chose to use Computer Source as my database. The main subject of the database was trends in technology. It allowed me to search trends from any time which was particularly helpful for my topic. The type of search that can be completed using this database is Boolean searching. This type of searching style came in handy because the information I was searching for involved the cyber world, so it made it easier to differentiate which aspect of the cyber world I was researching. For example, differentiating between Cyber Terrorism and Terrorism or Cyber Warfare. Computer Source lets its users search by publication date rather than by scholarship level. Computer Source also showed similarities with Academic Search Complete in that they shared similar fields. But after conducting similar searches, Computer Source provided me with more relevant information. Overall, my search results were more refined and

Online search services will likely disappoint you with the information they provide. A company such as ours will be able to find the person you are looking for and provide you with accurate information. We have access to information that search companies do not have, and we are able to conduct a search with decades of experience that is done in a hands on fashion.

However, EBSCOhost does not provide the option to the researcher for searching related and suggested information for a certain keyword which is a crucial limitation for them as every researcher prefers to get the option of searching for related researches. The search results contain relevant information and materials but the quantity is significantly low. The one-click citation option for individual research material is missing which may be annoying to the academic researchers at certain times. The database search of ProQuest is more efficient than EBSCOhost in all these respects but it is not free from limitations. As the number of materials in the search results is relatively more, the researcher has to efficiently sort the results to find the relevant information. This is quite difficult for me or anyone too in the results page. The option of full-text view is missing in some of the materials, which is not observed in the EBSCOhost search results.

Scaling data is much easier to do with a larger resolution like 1000 for a query of 2000 as opposed to a resolution of 100. The function is trying to fit large amounts of data into one pixel in a small resolution size, so it will take longer

It is Google’s efficient and effective user friendly interface, and the output of impeccably accurate results, that makes the company the frontrunners of the global search engine market. The company constantly updates and upgrades its technology and search algorithms to produce the best results possible. In 2001, Google implemented image search capabilities, which has come to expand to include the capability of searching for videos, news data, documents, books, and many other forms of “rich

When searching, you are looking for a high volume of keywords, with low competition. The sweet spot for quality keywords tends to be between 3,000 and 10,000 searches per month. You also want to look at the suggested