IBM - Modern Data Warehouse Example

Let’s see top management viewpoint on modern data warehouse

Lots of technologists are promoting replacement of data warehouse by data lake.  In the view point of our data science team, a modernized data warehouse should carry its own value for the analytics nowadays.

There is an article by TDWI.org sharing the viewpoint of CEO of Yellowbrick – Neil Carson what vital technology and tools being used.

Original Article
https://tdwi.org/articles/2019/02/08/dwt-all-ceo-qa-modern-data-warehouse-and-analytics-success.aspx

His opinion is aligning with our data science evangelist – Samuel Sum on Hadoop.  It is a large-scale data store but it is not easy to access and manage in many situations.  It is always better to have a structured data store like data warehouse for easy user access.  Also, a key-point of a successful data analytic environment is the storage speed storing the data.  With SSD (flash memory), the data warehouse (both ETL and access) are now several times faster than before.

Finally, the editor of this webpage suggests read an article of Samuel Sum – talking about the Data Lake (Data Lake VS Data Warehouse).

IBM - Modern Data Warehouse Example

Potential DDoS Attack from Hadoop

There is a piece of bad news for anyone using Hadoop for data analytics.  According to Radware Research team (25 Oct 2018), they have found a new botnet out targeting Hadoop clusters seeking to perform DDoS attacks.

(NOTE: Hadoop, which is an open source distributed processing framework, allows for the distributed processing of massive amounts of data and computation across clusters of computers using simple programming models).

News – Original Version

https://blog.radware.com/security/2018/10/new-demonbot-discovered/

Security teams should also look to invest in mitigation tools and services that specialize in defending against a DDoS attack.  Also, it is important to consider whether the Hadoop is necessary to connect to the Internet to reduce the chance of exposure for attack.