How did nationalism within the Ottoman Empire come into play during World War I?
It appeared as a handicap for the empire. Balkan countries like Greece,Bulgaria,Romania etc. were effected with nationalism and won their freedom eventually just a couple of years before the start of war. This of course effected the strength of the empire at WWI. Also Arabs (manipulated by the English) sided against Ottomans at the last minute. For the answerer above, i couldn't decipher what is the connection of the answer with this question. But since he brought it up, i have to say, there has never been an Armenian genocide. Armenians deported to a remote location because they were killing civilians,sabotaging army forces with the help Russia,while Turkey was practically at war with them. The reason countries like America,France,Argentina accept this lie,is political.because diaspora (the armenians living abroad) is very strong in these countries.
What is the difference between data analyst and business analyst?
There are notable difference between “Business Analyst (BA)” and “Data Scientist” but many people often end up in saying that they are same but reality is they are not!Let’s just go with definition first,Business Analyst: A business analyst is someone who analyzes an organization or business domain (real or hypothetical) and documents its business or processes or systems, assessing the business model or its integration with technology.Data Scientist: "Data scientists are involved with gathering data, massaging it into a tractable form, making it tell its story, and presenting that story to others" Let me explain the differences in details...1. Data Scientists uses predictive as well as perspective analysis to determine what might happen using probabilities and their experience, not just report tools to report on what did happen.2. Data scientists used for dealing with and mitigating the uncertainty in the data. It uses several analytic and visualization techniques to understand where uncertainty may lay in the data, and then uses data transformation techniques to massage the data into a workable form – not perfect, but again not necessary when dealing with probabilities and not absolutes.3. is able to create as-needed data transformations (versus the traditional ETL process) to put the data into a format so that it can be combined with other data sources in search in insights about customers, products and operations.4. Data Scientist is responsible for get something out from raw data where BA is responsible for managing the business domain.5. Data scientist more into technical than BA.......... This might help ............
Where can i get great information on the Holocaust?
In need to know some info. to do my English Project. I want to know what happend and why it happend. And i want to know what lead up to all the happend at the holocaust.
What is the vegetation in South Africa?
Grassland Savanna Succulent Karoo Nama Karoo Forest Fynbos Desert. Thicket
What are some SQL questions/topics asked in interviews?
Here are some basic SQL Interview questions:- How a Query is parsed in SQL engine at high level steps.- How Query plans are created and cached.- How SQL engine picks up a best query plan.- Creating proper indexes to tune Query performance.- Design considerations with Clustered and Non-Clustered Indexes.- What are Statistics and how they help in improving/degrading performance.- How SQL database stores Rows, Data pages, extents, in disk and memory.- What are internal JOINs, nested loop, hash, merge joins, and how SQL engine uses and picks them.- What are Dirty & Phantom reads, and difference b/w them.- How will you handle blocking and deadlocks- What are Isolation levels and what is best for concurrency and avoiding deadlocks.- New Features added in latest version of SQL database (MS SQL or Oracle, etc)- Some DBA related Questions, like Replication, Mirroring, Backup & Restore strategies, Always On, etc.And some basic questions on difference between:- WHERE, GROUP BY and HAVING clause- EXECUTE (or EXEC) vs sp_executesql- ISNULL vs COALESCE- PIVOT and UNPIVOT- TRUNCATE, DELETE and DROP- Stored Procedures vs Functions- UNION ALL vs UNION- Temporary Tables vs Table Variables- THROW vs RAISERROR- NOLOCK and READPAST table hints- Decimal and Numeric datatypes- Clustered vs NonClustered Indexes- CURSORS vs WHILE loops- CROSS APPLY vs OUTER APPLY operators- Scalar, Table Valued (ITV), MultiSelect (MTV) - UDFs (User Defined Functions)Check some Interview Questions here (5 parts): Interview Q~ SQL with Manoj