Hive big data, data mining with Apache

Contents

The concept of Big Data has already become common among us, since there are many companies that use this system to be able to process a greater amount of data quickly and safely, and thus be able to obtain information of interest to continue improving your treatment. Despite this, this information is increasing and that is why other complementary systems are emerging that can work with large volumes of data. In particular, options are being explored where information is provided in a structured way, in the case of more advantageous systems for companies. In this context, today we talk about Hive Big Data. What does it consist of?

big data hive

What is Hive Big Data?

When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop. When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop, When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop. When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop, When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop, When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop.

When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop, When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop. When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop, When we talk about Hive we refer to an infrastructure that is based on data storage for Hadoop. What we must be very clear about is that Hive is not programmed to What we must be very clear about is that Hive is not programmed to. Rather, What we must be very clear about is that Hive is not programmed to. What we must be very clear about is that Hive is not programmed to. In reality, What we must be very clear about is that Hive is not programmed to.

What we must be very clear about is that Hive is not programmed to

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We refer to tables

We refer to tables. We refer to tables. We refer to tables, We refer to tables. in addition, We refer to tables We refer to tables. We refer to tables.

We refer to tables

We refer to tables, We refer to tables. We refer to tables, on this occasion we also refer to the tables that are assigned to the subdirectories and the systems that contain files.

cubes

Finally, with the Hive system the data that is stored can also be divided into cubes. In other words, this information is saved as if it were a file within the respective partition and always in a lower file system.

At the same time of all this, Hive offers us what is known as metastore, Or what is the same, the place where we can store a lot of metadata. here exists a database que está relacionada entre sí and in turn this information corresponds to the Hive Scheme, which includes statistics, owners, column types and key-value data, between many other things.

HiveSQL, what tasks does it give us?

Finally, we are going to refer to the basic operations that we can do with HiveSQL (HQL). A) Yes, we are going to refer to the basic operations that we can do with HiveSQL, we are going to refer to the basic operations that we can do with HiveSQL we are going to refer to the basic operations that we can do with HiveSQL, we are going to refer to the basic operations that we can do with HiveSQL, we are going to refer to the basic operations that we can do with HiveSQL. Finally, we are going to refer to the basic operations that we can do with HiveSQL.

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