Tencent cloud native intelligent data Lake Conference will be held, revealing the panoramic matrix of Tencent cloud data Lake products for the first time

With “ Big data center ” It is listed as one of the national new infrastructure core projects , Data and data analysis become particularly important . For businesses , Not only are more and more businesses moving to cloud centric infrastructure , And the demand for data insight agility is getting higher and higher . This forces data analysts and leaders to adopt appropriate tools and processes to respond to requirements , Multiple data sources are available 、 Using different data technologies , Quickly build flexible and friendly data architecture , It is a new trend to solve the data demand of diversified analysis scenarios .

The data Lake came into being under this background , Cloud is the best practice place for data lake . Major cloud manufacturers in China also focus on the data lake , Combine cloud computing technology with data Lake technology , Give further play to the elastic expansion of the cloud 、 Flexible deployment advantages , Let enterprises quickly build and use the data Lake Technology architecture .

Tencent cloud , A complete data Lake Technology and product matrix has been built , Store around the data lake 、 Data Lake analysis 、 Data Lake AI, Data Lake computing power scheduling covers the whole scenario of data business , Form a comprehensive cloud data Lake solution , Help enterprises build cloud data Lake architecture efficiently .5 month 13 On the afternoon of Sunday , Tencent cloud will hold... In Beijing “ Cloud native intelligent data Lake ” Press conference .

At the meeting , Tencent cloud will display the complete data Lake product matrix and release the new products of the data Lake series for the first time , Help the efficient sharing of enterprise data resources . at present , Tencent cloud data lake system has served many internal and external customers , The resource pool of computing flexibility reaches 500 Thousands of nuclear , Store more than 100PB, The amount of data collected per day exceeds 500TB, The number of daily analysis tasks reaches 1500 ten thousand , The number of real-time calculations per day exceeds trillions , It can support data training of hundreds of millions of dimensions .

for example , In Tencent News Business , Articles are the core resource , Digital management is the life cycle of an article , Whether it's interactive feedback to the author 、 Or team operation analysis 、 Even the continuous optimization of the background algorithm is very important . Tencent News has hundreds of billions of articles , There are hundreds of data dimensions in each link of each article , Multi dimensional data topics lead to linear expansion of data volume in each business phase , This brings great challenges to data analysis . Based on Tencent cloud native data Lake Technology architecture , In data collection 、 data storage 、 The full data chain of data analysis provides highly reliable and available elastic data capabilities . At present, the index data of all articles has been accessed , Daily average of Article Index 30-50 Billion /100G+ , Support quasi real time write update , The service data link delay is raised to the minute level , Make the saving of computing resources exceed 50%, The comprehensive operation cost is reduced 30%, The workload of big data operation and maintenance engineers has been reduced 100%.

Now , The national strategy of data production factors opens a new era of digital intelligence economy , Speed up the shift to a new engine for the digital economy . With the maturity of domestic data Lake application and its scale landing , It will bring more powerful analysis tools to data analysts and leaders , Deal with diversified data analysis scenarios , Meet the new trend of data intelligence .

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