The modern data warehouse (DW) lives in the cloud and is rapidly evolving into an in-memory platform for high-performance in-database analytics. Of course, this trend is not brand new. As evidenced by last year's launch of dashDB, the fully managed in-memory cloud DW is already a mature technology that increasingly takes its place in hybrid, multizone big data architectures alongside Spark, Hadoop, NoSQL and other leading-edge cloud services.

1. Driving in-memory data
warehousing into the big
data cloud
1

2. Contents
Index
Data Warehouse in Cloud
The Advantages of a RAM Speed Cloud DW
What’s next for the in-memory cloud DW market
How Alpharithm Helps You?
20/07/2016 2

3.  The modern data warehouse (DW) lives in the cloud and is rapidly evolving into an
in-memory platform for high-performance in-database analytics.
 The fully managed in-memory cloud DW is already a mature technology that
increasingly takes its place in hybrid, multizone big data architectures
alongside Spark, Hadoop, NoSQL and other leading-edge cloud services.
Data Warehouse in Cloud

4.  Built-in low-latency performance with IBM in-memory, columnar technology,
actionable compression and hardware acceleration
 Agile scaling of data volumes and processing speeds
 Data load-and-go with no manual tuning
 Storage and processing of multi-structured sources with easy synchronization of
JSON to structured data
 Support for OLTP transactions and data warehousing analytics in the same cloud
database
 Rich integrated in-database analytics, with accelerated parallel processing of
algorithm libraries, including Netezza Analytics
 Tight enterprise-grade security for sensitive data on the Soft Layer Secure Cloud
Infrastructure
 Highly available, scalable, agile, robust, fully managed cloud DW service with
automated tuning and disaster recovery
dashDB Exemplifies the Advantages of a RAM Speed Cloud DW

5.  Greater speed, scale, agility, throughput and concurrency are increasing the range
of real-world use cases for which such a platform is well-suited.
 The in-memory cloud DW will become a premier “single version of truth” node
within a hybrid big data architecture, complementing
• Spark
• Hadoop
• NoSQL
What’s next for the in-memory cloud DW market & DashDB

6.  In this new era of big data analytics is data scientists’ and developers’ abilities to
use MPP to speed up in-database execution of sophisticated analytic algorithms,
such as R-based predictive models.
 Considering that the DW is where much of an enterprise’s core data resides, it
wouldn’t be surprising to see data scientists begin to gravitate to platforms such as
dashDB for much of their iterative modeling. Developers can trial dashDB now.
What’s next for the in-memory cloud DW market & DashDB

7.  Alpharithm is an award winning IBM business
partner, solving complex data management
challenges for our clients. Our aim is to “Help
clients maximize the value of their data assets
by transforming data into Intelligence &
Insights”
 We have helped organizations reduce the time
required to process the data and increased the
time they spend on analyzing the data
How Alpharithm Helps You?

8. India
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Chennai 600020.
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8 Burn Road, #08-02/03, Trivex, Singapore 369977.
http://www.alpharithm.com/ +91 (44) 4211 6252
Contact Alpharithm

9. Thank You