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The Flexible ETL Hardcoding

esProc is ideal for the ETL processes with complex business logic. To date, there is not any existing module for such tasks yet, and scripting is always required to implement such an ETL process.

With the professional esProc IDE and grid-style scripting, users can program more efficiently. esProc is good at achieving a complex computing goal conveniently, including the flexible hardcoding of ETL. In terms of data sources, it supports a wide range of them, as well as computing data from different kinds of data sources. For big data computing, the heavy ETL workload can be shared by and distributed to multiple inexpensive PCs with a parallel computing frame. esProc supports the scheduling functions on various operating systems for being called flexibly by command lines.

High development efficiency. esProc is a tool to script in the grid. With esProc, computing logic can be conveniently laid out in 2D space, so that a business algorithm can be interpreted in the computer language more easily. The grid supports step-by-step computing by nature, in that each cell represents a computing unit or step, and by which esProc gets the ability to convert the complicated business logic of an ETL process into simple steps. The grid-style script offers an intuitive view of the code indentation and work scope, and streamlines cell reference and reuse. Users can reference any cell with its native cell name, which means they need not to define the variables. By clicking cells, users can monitor the computed results intuitively, without having to search for them in a list of variables. The grid-style scripting also makes debugging, in the true sense of the term, for ETL processes possible. .

Agile algorithms. With a genuine support for set data type, esProc simplifies structured data computations to facilitate flexible computing from the business prospective. esProc supports the ordered sets, capable of accessing set members and performing serial-number-related computing conveniently, for example, ranking, sorting, year-over-year comparison, and calculation of link relative ratio . With the “set of set” mechanism to represent groups, esProc can use equi-grouping, alignment grouping and enumeration grouping to solve various grouping problems easily. In addition, users can handle discrete records in a data set in the same way as handling an object. Such separate, individual records will give users a much more flexible and freer access experience than ever. For many ETL processes that are tough to perform in SQL/SP, esProc can solve them quite easily with its agile syntax.

Comprehensive data source support. esProc supports hybrid computing involving different data sources, including all kinds of databases and the non-database file data sources and allows for result write-back to multiple or single data source, . It offers a wide selection of functions to support structured data and non-structured data computing. Additionally, esProc supports the file data on a local machine and the remote files on LANs, the local files and the big data files in the distributed file system of HDFS, and both the common txt or Excel files and the files in proprietary formats but with better performance.

Convenient Command Line Scheduling. Users can execute the esProc scripts with command line directly, set the regular launch with the schedule function provided by OS, and perform the ETL tasks on various editions of OS including Windows, Linux, Unix, and Mac. esProc also provides JDBC API for users to implement the much more flexible scheduling by coding. With JDBC, users can manipulate the ETL tasks more flexibly.

Parallel frame speeding the ETL process. esProc supports the parallel computing on big data, and is capable of accomplishing the ETL task involving TB data in an HDFS file or a database file. With the parallel computing frame, massive amount of data can be allocated to multiple computing nodes equally. Each node only needs to handle a small amount of the data. esProc supports the multilevel distributed computing where each node can act as either the main node for allocating and summarizing, or the sub node for performing specific tasks. The node machines can be high-end servers or inexpensive Windows client or Linux PCs.

esProc enables users to write codes following natural thinking straightforwardly, not having to change their train of thoughts in converting the complex business logics into practical codes. To complete the same computing, esProc is several timesmore neat and concise than Java and SQL. ...
esProc is specialized incomputing from various different data sources, and the computing result can be written back to multiple or single data source. esProc ont only supports the rational database, MongoDB, Cassandra,and other NoSQL database, but also provides a great many functions to handle the structureddata and the semi-structureddata computing....
esProc supports the multi-thread computing on single node and parallel computing on multiple nodes without center. The big data can be divided into several small data blocks, then used in multiple node machine for parallel computing, and lastly merging andcomputing....
esProc optimizes the syntax for the structureddata, supports the in-memory computing and ordered set, and enables programmers to select the optimized path based on the characteristics of data and algorithms. The actual measured data indicates that the performance of esProc is close or even higher than that of database for the standalone machine. ...
esProc is the pure Java product, with the outstanding integration capablity by nature. esProc can be divided into four sections: JDBC, Command line, Server, and IDE. The JDBC is the specific calling interface for applications. The invoking method of esProc JDBC is similar to the stored procedure of normal database, i.e....
esProc is a data computing language with the powerful TSeq and cursor data object. It is especially optimized for the computing over (semi) structureddata, and capable of handling various complex computing problems easily. Because it is designed to serve the sole purpose of computing, esProc is simply structured and easy to grasp. ...
esProc is designed for application programmers to handle computing strongly related to the typical and complex business facts. Without any inheriting, overload, and other complex concepts, it is a development language neither object-oriented, nor fit for developing the infrastructure or the whole tool software. ...
Reorganization of the report data source: esProc is especially fit for the computing involving the complex business algorithm of data sources or the cross-database computing involving multiple data sources....
esProc is the professional database computing script, featuring the intuitive grid-style code. Without difining the temporary variables, users can reference the intermediate computing result with the cell name. By taking this advantage, users can implement the step-by-step computing easily. ...
esProc comprises four parts: IDE, JDBC, Command Line, and Server. esProc can run in JDK1.6 and above environments across platforms independently, not relying on other servers or middle ware. ...
Here are some screen shots for you to have a deeper insight on our product, include Cellset-style Script , SQL Execution and Data Structure Display, Program Debugging ,Computation Presentation etc...
1
According to the contract table in database, compute in a Java application: Monthly top N quality customers on sales amount in a specified year....
2
Take esProc as the computing layer for Java to find out: Customers who have bought the specified product. There are two tables in database. Part of the data is as below. The main train of thought is:...
3
The order data of customer is in ERP system and the customer information is stored in CRM system. Now we need to create a report to present the annual sales amount of each customer and the growth rate compared with the previous year. And the optional reporting tool only supports...
4
Find out staffs with the highest sales amount in various promotional periods according to the original data in the database. There are two tables, SaleRecord and Promotion. From Promotion table we can...
Continuous Relational Query
esProc supports using dissociative records as variables, thus enables users to make full use of the intermediate results.
  1. Dissociative record
  2. Record set storage
  3. Progressive query
Serial Number Related Query
esProc is very good at order and position related computing with the record set originally ordered.
  1. Median
  2. Select subset according to the position
  3. Compare over the previous period for selected records
  4. Select rows from the group subset
Readability of Syntax
The grid-style script of esProc displays the data intuitively and neatly. Meanwhile, esProc provides various unique functions to easily deal with varied complex queries.
  1. Constant sets
  2. Find records with the maximum and the minimum
  3. Sort by specified order
  4. Group rows by the specified order
  5. Overlapped conditional groups
Complex Queries in Steps
With step by step computing and program logics, esProc allows users to get results according to users' understandable process.
  1. Filter accumulated value
  2. Compare over the previous period for consecutive intervals
  3. Compute cross rows in group subset
  4. Progressively complete the result set
Set-operation Related Queries
esProc supports complete set-lizing operation enabling users towrite codes following their natural thought pattern.
  1. Filter the groups
  2. Sort the groupings
  3. Select a group subset
  4. Sort and filter the group subset
Relational Query with Multiple Tables
esProc supports union of data sets with different data structure, bringing simpler coding and computing.
  1. Union tables with different structure
  2. Reference of the record associated by foreign key
  3. Query the subtable
  4. Group the subtables

Contact us   today to  discuss  your esProc solution or  Download esProc  
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Capable to reference the data from database or external files such as txt and Excel. Capable to perform the copy, paste, and other operations to edit the cellset data. Intuitive interface for report preparation. Capable to be saved as various formats like txt, xls, and gex to facilitate the use and edit...
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Here are some screen shots for you to have a deeper insight on our product, include Cellset-style Script , SQL Execution and Data Structure Display, Program Debugging ,Computation Presentation etc...
Compute the top 3 clients by order value according to the detailed order data. The basic train of thought is to group the orders by clients firstly, secondly sum up...
Given a book of 3 Excel sheets in which there is the basic salary, attendance record, and performance data, we now need to compute the actual salary of employee. When computing, use the below formula: Payable weekly salary = standard weekly salary *(1+Performance...
On the basis of a database of the sales data of a pharmaceutical company in the recent 2 years, make statistics on the year-on-year monthly and the link relative ratio comparisons for each product. In which, the link relative ration comparison refers to the monthly...

Contact ustoday to discuss your esCalc solution or Download esCalc