Five Signs Your Cache-Based Database Architecture May Be Obsolete Srini Srinivasan (Visual Generation/Shutterstock) The digital economy comprises business moments, critical fractions of seconds when lightning-fast chain reactions take place that transform data into insights and turn opportun……

Hadoop Data ingestion is the beginning of your data pipeline in a data lake. It means taking data from various silo databases and files and putting it into Hadoop. Sounds arduous? For many companies, it does turn out to be an intricate task. That is why they take more than a year to ingest all the……

What is Data Lake? A Data Lake is a storage repository that can store large amount of structured, semi-structured, and unstructured data. It is a place to store every type of data in its native format with no fixed limits on account size or file. It offers high data quantity to increase analytic p……

It has been a widely acknowledged fact that big data has become a big game changer in most of the modern industries over the last few years. As big data continues to permeate our day-to-day lives the number of different industries that are adopting big data continues to increase. It is well said t……

大数据的工具数以千计,它们无一不承诺省时省钱并且还能帮你挖掘从未被发现的商业价值。它们的承诺也许都是真的，但是真正实际使用的过程中可能会由于选项太多而不知所措。 哪个才是你真正所需要的呢？ 哪个才是最适合你的项目？ 为了帮你节省时间并且让你第一次使用就能挑选出正确的工具，我们搜集和整理了数据提取、数据……

In machine learning, there’s something called the “No Free Lunch” theorem. In a nutshell, it states that no one algorithm works best for every problem, and it’s especially relevant for supervised learning (i.e. predictive modeling). For example, you can’t say that neural networks are always better……

At their core, data scientists have a math and statistics background. Out of this math background, they’re creating advanced analytics. On the extreme end of this applied math, they’re creating machine learning models and artificial intelligence. Just like their software engineering counterparts, ……

What’s happening in the Data Integration space? In this digital era, the Enterprise data is exploding and the need for data intensive computing keeps growing each day; more so in the space of data mining and analytics. Also the consolidated EIM/ETL tool offerings from different vendors have becom……

These are the top 3 Big Data Frameworks that have captured in IT market very rapidly with various job roles available for them. According to the below comparison, you will understand the limitations of Hadoop for which Spark came into picture and drawbacks of Spark due to which Flink need arose,……