The simplest approach may be through the technology offered by Splunk, which has its own search language that allows you to search through big data, identify useful query types, and express your developing understanding of the structure of the data as you search.
The server then sends back an answer with perhaps 100 times more data than the original query.
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They could ask questions across geographies or query the data across business lines.
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New search engines have been developed, which are specifically designed to query the data types that reside in the data lake.
Splunk has a relatively simple search language that can be used by both beginners and experts to directly query big data sets.
Responding to a congressional query, nine data companies provided answers to a detailed set of questions about what kinds of information they collect about individual Americans, and where they get that data.
When they sell it, the entity who buys it now will be looking to query with other data and this is where the flawed data and Algo duping appears as who knows what other linear or non linear data will be rolled in here.
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It takes an employee, deciding that the loss of high-value customers is important, to run a query of all their data and find him, and then turn that into a business advantage.
The dashboards provide a simple graphical user interface that allows users to query millions of rows of data.
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By entering certain strings of text into user input boxes on Web sites, cybercriminals are able to confuse their commands with data in a site's Structured Query Language (SQL) database and gain control of it, says Grossman.
The search query is also restricted to mining data from friends and open profiles on Facebook, and this is a much smaller pool compared to Yelp.
The product can also use a Query Designer to integrate more intelligent data into documents using ODBC, which will enable live business data to be imported directly into a document.
Using the HANA in-memory data engine, salespeople can use BusinessObjects Explorer to query and drill into 12 million active customer records and 700 million historical records in real-time, versus the 4-5 hours it used to take to run a report.
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Analysts call this a virtual database because it can query and analyze without moving any of the data out of position.
Even ad-hoc query tools such as Dremel have been introduced to support Big Data environments with low latency.
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If you want to run not one query but a thousand per second, you need very high throughput and higher efficiency in data processing.
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Splunk has developed a analytics engine that allows users to ask just about any question of his data and apply time to the question and responses to see if abnormal activities are happening and if responses to the query are taking too long.
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