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What is the purpose of the BETWEEN keyword?
The BETWEEN keyword allows you to check that a value falls in between two other values in the WHERE clause. It’s the same as checking if a value is greater than or equal to one value, and less than or equal to another value.
The BETWEEN keyword allows you to check that a value falls in between two other values in the WHERE clause.
It’s the same as checking if a value is greater than or equal to one value, and less than or equal to another value.
See lessWhat are the different DML commands in SQL? Give a description of their purpose.
Different DML commands in SQL: SELECT: retrieve or view data from the database INSERT: add new records to a table UPDATE: change existing records in a table DELETE: removes data from a table MERGE: performs an UPSERT operation, also known as insert or update. CALL: runs a PL/SQL procedure or Java prRead more
Different DML commands in SQL:
- SELECT: retrieve or view data from the database
- INSERT: add new records to a table
- UPDATE: change existing records in a table
- DELETE: removes data from a table
- MERGE: performs an UPSERT operation, also known as insert or update.
- CALL: runs a PL/SQL procedure or Java program
- EXPLAIN PLAN: explains the way the data is loaded
- LOCK TABLE: helps control concurrency
See lessWhat are the different DDL commands in SQL? Give a description of their purpose.
Different DDL commands in SQL: CREATE: creates objects in the database ALTER: makes changes to objects in the database DROP: removes objects from the database TRUNCATE: deletes all data from a table COMMENT: adds comments to the data dictionary RENAME: renames an object in the database
Different DDL commands in SQL:
- CREATE: creates objects in the database
- ALTER: makes changes to objects in the database
- DROP: removes objects from the database
- TRUNCATE: deletes all data from a table
- COMMENT: adds comments to the data dictionary
- RENAME: renames an object in the database
See lessWhat is the difference between SQL and T-SQL?
SQL is the language used to query databases. You run a query, such as SELECT or INSERT, and get a result. T-SQL stands for Transact-SQL and is a language and set of extensions for SQL Server that allows for further programming logic to be used with SQL.
SQL is the language used to query databases. You run a query, such as SELECT or INSERT, and get a result.
T-SQL stands for Transact-SQL and is a language and set of extensions for SQL Server that allows for further programming logic to be used with SQL.
See lessWhat is the difference between SQL and PL/SQL?
SQL is the language used to query databases. You run a query, such as SELECT or INSERT, and get a result. PL/SQL stands for Procedural Language/Structured Query Language. It’s Oracle’s procedural language and is built on top of SQL. It allows for more programming logic to be used along with SQL.
SQL is the language used to query databases. You run a query, such as SELECT or INSERT, and get a result.
PL/SQL stands for Procedural Language/Structured Query Language. It’s Oracle’s procedural language and is built on top of SQL. It allows for more programming logic to be used along with SQL.
See lessWhat is the difference between SQL, Oracle, MySQL, and SQL Server?
SQL is the name of the language used to query databases and follows a standard. Oracle, MySQL, and SQL servers are different implementations or versions of a database management system, which implement the SQL standard and build on it in different ways. Oracle database is targeted at large companiesRead more
SQL is the name of the language used to query databases and follows a standard. Oracle, MySQL, and SQL servers are different implementations or versions of a database management system, which implement the SQL standard and build on it in different ways.
See lessOracle database is targeted at large companies, SQL Server is owned by Microsoft, and MySQL is owned by Oracle but targeted toward smaller companies and systems.
What Skills Does a Data Engineer Need?
Here are some common skills and expertise you’ll need in a data engineering role: Knowledge of database tools Coding Critical thinking Experience with data analysis Knowledge of data transformation, buffering, ingestion, and mining tools AI and machine learning experience Data warehousing and ETL toRead more
Here are some common skills and expertise you’ll need in a data engineering role:
- Knowledge of database tools
- Coding
- Critical thinking
- Experience with data analysis
- Knowledge of data transformation, buffering, ingestion, and mining tools
- AI and machine learning experience
- Data warehousing and ETL tools
- Real-time processing frameworks
See lessMention some of Hadoop’s key attributes.
Hadoop is a free, open-source framework whose code can be modified to suit different needs. It supports faster-distributed data processing with MapReduce. Hadoop is quite forgiving and, by default, permits the user to build three clones of each block at several nodes. Therefore, even if one of the nRead more
- Hadoop is a free, open-source framework whose code can be modified to suit different needs.
- It supports faster-distributed data processing with MapReduce.
- Hadoop is quite forgiving and, by default, permits the user to build three clones of each block at several nodes. Therefore, even if one of the nodes fails, we may still recover the data from another node.
- Scalable and hardware-neutral.
- Due to Hadoop’s cluster-based data storage, all other operations were unaffected. Thus, it is trustworthy. The failure of the machines has no impact on the data that has been stored.
See lessDescribe the fundamental idea underlying the Apache Hadoop Framework.
It is based on the MapReduce algorithm, to be precise. The Map and Reduce procedures of this technique are used to process a large data set. Reduce summaries of the data while Map filters and sorts the data. The main ideas behind this paradigm are scalability and fault tolerance. By effectively utilRead more
It is based on the MapReduce algorithm, to be precise. The Map and Reduce procedures of this technique are used to process a large data set. Reduce summaries of the data while Map filters and sorts the data. The main ideas behind this paradigm are scalability and fault tolerance. By effectively utilizing MapReduce and Multi-threading, we may successfully implement these functionalities in Apache Hadoop.
See lessHow does orchestration work?
IT firms must manage a lot of servers and apps, but doing it manually isn’t scalable. The more complicated an IT system is, the harder it is to keep track of all the moving elements. The demand to integrate several automated jobs and their configurations across groups of systems or machines is growiRead more
IT firms must manage a lot of servers and apps, but doing it manually isn’t scalable. The more complicated an IT system is, the harder it is to keep track of all the moving elements. The demand to integrate several automated jobs and their configurations across groups of systems or machines is growing, coupled with the necessity to combine such automated operations and settings. This circumstance benefits from the usage of orchestration.
A computer system, application, and service orchestration is the automated configuration, administration, and coordination of these components. Orchestration makes it easier for IT to manage challenging operations and processes. Numerous technologies for container orchestration, including Kubernetes and OpenShift, are available.
See less