Abstract: A networked database management system (DBMS) is disclosed. In particular, the disclosed DBMS includes a plurality of nodes, one of which is elected as a designated leader. The designated leader is elected using a consensus algorithm, such as tabulated random votes, RAFT or PAXOS. The designated leader is responsible for managing open coding lines, and determining when to close an open coding line.

Abstract: A computing device includes a plurality of nodes, wherein a first node of the plurality of nodes operates in accordance with a computing device operation system (OS) and remaining nodes of the plurality of nodes operate in accordance with a database OS and process a plurality of threads of an application. The computing device further includes a divided main memory that is divided into a computing device memory section and a database memory section, and the database OS determines an allocation of the divided main memory between the computing device memory section and the database memory section, where a first database thread is assigned a buffer of a plurality of buffers of the database memory section, and a first computing device thread utilizes the computing device memory section of the divided main memory.

Abstract: A method for execution by one or more database storage nodes of a database management system includes obtaining a row of data that includes a plurality of columns. The method further includes generating a data confidence value for data within one or more columns of the plurality of columns. The method further includes storing the data confidence value in a memory of the database management system.

Abstract: A networked database management system (DBMS) is disclosed. In particular, the disclosed DBMS includes a plurality of nodes, one of which is elected as a designated leader. The designated leader is elected using a consensus algorithm, such as tabulated random votes, RAFT or PAXOS. The designated leader is responsible for managing open coding lines, and determining when to close an open coding line.

Abstract: A payload store within a database management system includes a first set of nodes that include a first node that includes memory, a network interface, a storage device, and at least one processing unit. The at least one processing unit is operable to receive, via the network interface, a first set of data rows that includes a plurality of subsets of data rows and a last subset of data rows. The processing module is further operable to randomly assign the plurality of subsets of data rows and the last subset of data rows between the first set of nodes, where a first number of data rows of the plurality of subsets of data rows is assigned to the first node and a second number of data rows is assigned to another node. The processing module is further operable to store the first number of data rows in the storage device.

Abstract: A computing device includes a plurality of nodes, where a first node operates in accordance with a computing device operation system (OS) and remaining nodes operate in accordance with a custom OS. The remaining nodes include a plurality of sets of processing core resources that process a plurality of sets of threads of an application. The computing device also includes a main memory divided into a computing device memory section and a custom memory section that includes portions logically allocated as a plurality of buffers. The computing device also includes a memory access control module operable to coordinate access to the plurality of buffers by at least some of the plurality of sets of threads in accordance with the custom OS. The computing device also includes disk memory and a disk memory access control module operable to coordinate access to the disk memory in accordance with the computing device OS.

Abstract: A method for execution by a computer of a database management system includes obtaining a dataset that includes a set of data records, where the data set is associated with a set of data characteristics. The method includes executing a selected ranked analytical calculation of a ranked list of analytical calculations on the dataset to produce an analytical calculation result, where the ranked list of analytical calculations is generated by ranking a list of analytical calculations that are able to be executed on the dataset, based on a set of analytical calculation characteristics associated with the list of analytical calculations, where an analytical calculation characteristic of the set of analytical calculation characteristics indicates an estimated execution time to perform an analytical calculation of the list of analytical calculations, and the selected ranked analytical calculation is selected based on the set of data characteristics to produce the selected ranked analytical calculation.

Abstract: A payload store within a database management system includes a first set of nodes that include a first node that includes a memory, a network interface, a storage device, and a processing unit. The processing unit receives, via the network interface, a first portion of data to be stored in a plurality of storage devices of the first set of nodes, and splits the first portion into a first set of data rows that includes a plurality of subsets of data rows and a last subset of data rows. The processing unit further randomly assigns the plurality of subsets of data rows and the last subset of data rows between the first set of nodes and stores a first number of data rows in the storage device. The processing unit further sends, via the network interface, a second number of data rows to the second node for storage therein.

Abstract: A method by one or more processing units of a database management system includes transitioning storage of a collection of data from storage in a set of first temperature storage nodes of the database management system to storage in a set of second temperature storage nodes of the database management system based on one or more criteria associated with the collection of data, where each first temperature storage node of the set of first temperature storage nodes is paired with a corresponding second temperature storage node of the set of second temperature storage nodes to form a set of parallel node pairs. The method further includes, after determining the collection of data has been stored in the set of second temperature storage nodes, deleting the collection of data in the set of first temperature storage nodes.

Abstract: A method for execution by a computer of a database management system includes obtaining a dataset that includes a set of data records, where the data set is associated with a set of data characteristics. The method further includes ranking analytical calculations of a list of analytical calculations that are able to be executed on the dataset based on the set of data characteristics and a set of analytical calculation characteristics associated with the list of analytical calculations to produce a ranked list of analytical calculations. The method further includes selecting an analytical calculation from the ranked list of analytical calculations based on the ranking. The method further includes executing the selected analytical calculation on the dataset to produce an analytical calculation result.

Abstract: A networked database management system (DBMS) is disclosed. In particular, the disclosed DBMS includes a plurality of nodes, one of which is elected as a designated leader. The designated leader is elected using a consensus algorithm, such as tabulated random votes, RAFT or PAXOS. The designated leader is responsible for managing open coding lines, and determining when to close an open coding line.

Abstract: A method by one or more processing units of a database management system includes determining to transition a collection of data from storage in a set of first temperature storage nodes to storage in a set of second temperature nodes based on one or more criteria associated with the collection of data, where each first temperature storage node of the set of first temperature storage nodes is paired with a corresponding second temperature storage node of the set of second temperature storage nodes to form a set of parallel node pairs. The method further includes transitioning storage of the collection of data in parallel, by each parallel node pair of the set of parallel node pairs, from storage in the set of first temperature storage nodes to storage in the set of second temperature storage nodes.

Abstract: A networked database management system (DBMS) is disclosed. In particular, the disclosed DBMS includes a plurality of nodes, one of which is elected as a designated leader. The designated leader is elected using a consensus algorithm, such as tabulated random votes, RAFT or PAXOS. The designated leader is responsible for managing open coding lines, and determining when to close an open coding line.

Abstract: A method for execution by one or more database storage nodes of a database management system includes obtaining a row of data that includes a plurality of columns. The method further includes generating a data confidence value for data within one or more columns of the plurality of columns. The method further includes storing the data confidence value in a memory of the database management system.

Abstract: A method for managing data storage and retrieval and operated within a database management system includes retrieving a set of confidence data records from memory of the database management system, where a confidence data record of the set of confidence data records includes a set of data columns and one or more confidence columns populated with one or more data confidence values associated with data within one or more data columns of the set of data columns. The method further includes analyzing the set of confidence data records to produce a result, where the result includes a confidence level that is based on corresponding ones of the one or more data confidence values associated with the data within one or more data columns of the set of data columns.

Abstract: A payload store within a database management system includes a first set of nodes that include a first node that includes a memory, a network interface, a storage device, and a processing unit. The processing unit receives, via the network interface, a first portion of data to be stored in a plurality of storage devices of the first set of nodes, and splits the first portion into a first set of data rows that includes a plurality of subsets of data rows and a last subset of data rows. The processing unit further randomly assigns the plurality of subsets of data rows and the last subset of data rows between the first set of nodes and stores a first number of data rows in the storage device. The processing unit further sends, via the network interface, a second number of data rows to the second node for storage therein.

Abstract: A networked database management system (DBMS) is disclosed. In particular, the disclosed DBMS includes a plurality of nodes, one of which is elected as a designated leader. The designated leader is elected using a consensus algorithm, such as tabulated random votes, RAFT or PAXOS. The designated leader is responsible for managing open coding lines, and determining when to close an open coding line.

Abstract: A networked database management system (DBMS) is disclosed. In particular, the disclosed DBMS includes a plurality of nodes, one of which is elected as a designated leader. The designated leader is elected using a consensus algorithm, such as tabulated random votes, RAFT or PAXOS. The designated leader is responsible for managing open coding lines, and determining when to close an open coding line.

Abstract: A massively parallel database management system includes an index store and a payload store including a set of storage systems of different temperatures. Both the index store and the storage system each include a list of clusters. Each cluster includes a set of nodes with storage devices forming a group of segments. Nodes and clusters are connected over high speed links. Each cluster receives data and splits the data into data rows based on a predetermined size. The data rows are randomly and evenly distributed between all nodes of the cluster.

Abstract: A method for execution by a computer of a database management system includes obtaining a dataset that includes a set of data records, where the data set is associated with a set of data characteristics. The method further includes ranking analytical calculations of a list of analytical calculations that are able to be executed on the dataset based on the set of data characteristics and a set of analytical calculation characteristics associated with the list of analytical calculations to produce a ranked list of analytical calculations. The method further includes selecting an analytical calculation from the ranked list of analytical calculations based on the ranking. The method further includes executing the selected analytical calculation on the dataset to produce an analytical calculation result.