"Recent data in table like Ali Tinghuo, also put forward in Taiwan it."
Boss word, so that Leader big data sector lost in thought, bought a "big data Road" saw two days ...
night after two days, Leader made a circle of friends co-workers invisible dynamic
"No big company life, had large company disease .... "
The next day, Leader within the department meeting said:
"
Construction of the data sets, we recently needed a few things:
to integrate what metadata management, data quality, task scheduling, monitoring, self-inquiry and so on several platforms web interface, then another cool style points, cut off the repeat function, take a last name with "in Taiwan".
for a small ancestral, you go to our external services interface to provide finishing abstract, to multiplex multiplex, before the business side needs mentioning both carding under the abstract good business to provide a unified external data API, then add data services on the table page module unified management interface to do ...
"
Data dish Chicken ancestors:
"Yes ... but ... this is the boss in Taiwan yet ......"
Leader picked up a pen to write on the whiteboard:
"
Data in the table is actually a data warehouse + data services, including generalized data warehouse
- The number of bins in the art to achieve (the Hadoop ecosystem components)
- Data Asset Management (metadata / tags / data category / data lineage)
- Data management (data quality monitoring / alarm)
- Data security
...
We currently includes data services
- Reporting Services (fixed reports / self-analysis)
- Label service (for user portrait data mining)
- Access requirements (operational / market / temporary research / finance and other departments of emergency access needs)
- Business system service interface
...
Think about it, what data in the table is not in fact, we currently have, the station is with business property, we are missing is a complex business scenarios, it can do is sort out the current business, with more than a few abstractcomplex interfaces, provide a few more services ...
"
Leader silent for a moment, whispered a few words Tucao:
"
Data in the table is not high in complex business company is actually implemented like this, nothing changes, it does not embody much value, can do is limited.
But Boss likes to rub the heat to see new things, so put forward a nice point of the front of it.
Boss will not control your underlying technology, things or those things, but look a little flicker, it is not the concept of the previous set of concept. Line interfaces you to write it.
"
"Line 8 ..."
......
Catch a few months later, large data sets of parts of the company's share-level meeting ...
Leader's speech:
"
the company's current data sets made progress.
Data sets to get through the barriers between business data, allowing more flexibility in the modular data re-organization and reusable. By forming data, improve production efficiency.
At the same time all parties in Taiwan combines heterogeneous data sources, to make a unified data collection, management, governance, analysis, mining, application, play a connecting role in the enterprise.
Data in the table following a front-line business library generated data output line to guide the business more accurately predict the effective implementation of data analysis class, so that business operations to form a virtuous loop. To optimize internal management to improve business, external data can allow partners to see the value of cooperation.
In order to look more intuitive and fast hardware, Leader released a web map
Source "data sets, data warehouse, data lake, BI is the difference? Look one is enough! "
Data table for a digital transformation of enterprise and sustainable development plays a vital role. Data sets for the decoupling born, the greatest significance enterprises to build data sets is decoupling applications and data. So that enterprises can build unlimited on-demand data applications to meet business needs.
- Build open, flexible and scalable enterprise-class unified data management and analysis platform, enterprise, external data associated with the need to break the boundaries of the system data.
- Intelligent use of big data analysis, data visualization technology to achieve data sharing, a daily report automatically generated, fast and intelligent analysis, to meet the Group headquarters and subsidiaries all levels of data analysis applications.
- The depth of excavation data value, help enterprises digital transition landing. To achieve a data directory, models, standards, stewardship, security, visualization, sharing, management, and data set storage, processing, classification and management, the establishment of large data analysis tool library, algorithms service library automation, data analysis, report generation agile, visual data mining, data quality assessment, floor management processes.
"
The audience could hear stupefied.
Boss looked at the web interface" XX several words in Taiwan ", pleased nodded:
"Building our data platform to succeed, thanks to the efforts of our colleagues in Taiwan departments in large data ..."
Xiao Zu: China-Taiwan not to write the interface it? [Eyed]
The whole chapter fiction, any similarity, it is not surprising.
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