By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data science anayst
    Growing Demand for Data Science & Data Analyst Roles
    6 Min Read
    predictive analytics in dropshipping
    Predictive Analytics Helps New Dropshipping Businesses Thrive
    12 Min Read
    data-driven approach in healthcare
    The Importance of Data-Driven Approaches to Improving Healthcare in Rural Areas
    6 Min Read
    analytics for tax compliance
    Analytics Changes the Calculus of Business Tax Compliance
    8 Min Read
    big data analytics in gaming
    The Role of Big Data Analytics in Gaming
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: A Year On: The Promise of SAP HANA for Big Data Analytics (Part One)
Share
Notification Show More
Latest News
ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science
ai software development
Key Strategies to Develop AI Software Cost-Effectively
Artificial Intelligence
Aa
SmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > A Year On: The Promise of SAP HANA for Big Data Analytics (Part One)
AnalyticsBusiness IntelligenceData WarehousingKnowledge Management

A Year On: The Promise of SAP HANA for Big Data Analytics (Part One)

Yellowfin
Last updated: 2012/06/29 at 5:37 PM
Yellowfin
6 Min Read
SHARE

It’s a now a little over a year since SAP launched HANA at its 2011 SAPphireNOW event. And, it seems that many organizations dealing with Big Data – particularly those looking to leverage data at real-time or near real-time pace – are turning to HANA. At the recently held 2012 SAPphireNOW user conference, SAP boasted almost 57,000 HANA end-users and seven different hardware partners.

It’s a now a little over a year since SAP launched HANA at its 2011 SAPphireNOW event. And, it seems that many organizations dealing with Big Data – particularly those looking to leverage data at real-time or near real-time pace – are turning to HANA. At the recently held 2012 SAPphireNOW user conference, SAP boasted almost 57,000 HANA end-users and seven different hardware partners.

The buzz around HANA – particularly in the SAP world – is gaining momentum. SAP plans to roll out support for the enterprise resource planning (ERP) module, within its flagship Business Suite product family, on the HANA in-memory database platform. This development is penciled in for the fourth quarter of 2012, with other Business Suite modules to follow.

But what’s the big deal about SAP HANA – what makes it different from a crowd of emergent databases aimed at addressing the proliferation of enterprise data, and which types of organizations stand to benefit from its unique capabilities?

More Read

data security in big data age

6 Reasons to Boost Data Security Plan in the Age of Big Data

How Big Data Is Transforming the Maritime Industry
Utilizing Data to Discover Shortcomings Within Your Business Model
Embedded BI Tools Bring Huge Benefits to Business Applications
Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

What’s the big deal about SAP HANA?

Well, HANA – a data warehouse (DW) appliance designed for processing high volumes of transactional and operational data in real-time – is able to copy and synchronize data from a DW or other application (ERP for example) in real-time.

Therefore, by running in parallel to a source application, HANA enables end-users to query expansive data sets in real-time – users don’t have to wait for scheduled reports to run before they begin data exploration.

According to SAP, HANA can scan 500 billion Point of Sale (POS) records in just seconds.

Additional database support in Yellowfin 6.1 targets Big Data

So impressed with HANA’s ability to query multiple types of data sources, in real-time and at unprecedented volumes, global Business Intelligence (BI) vendor Yellowfin announced that it had added support for HANA, and a range of databases, in the latest release of its BI software (Yellowfin 6.1).

Get the details Here >

Why are solutions like HANA going to become increasingly important?

So why has SAP HANA found such a receptive audience? The reasons are three-fold and part of an overarching trend towards data saturation:

  • The cost of technology and techniques for collecting and analyzing enterprise data to produce meaningful and actionable information is dropping significantly. That is, organizations are now collecting more information simply because it’s viable to do so.
  • The rapid expansion of existing data sources.
  • The emergence of new data sources and types – think social media.

In fact, market research firm International Data Corporation (IDC) predicts that the volume of data generated per year will reach a staggering 35 zettabytes – that’s equivalent to 35 million petabytes – by 2020.

Research and advisory giant, Gartner, predicted in its recent report – Pattern-Based Strategy: Getting value from Big Data – that worldwide data volumes are growing at a minimum rate of 59 percent per year.

What’s particularly noteworthy, is that organizations that collect larger amounts of data are also expected to generate meaningful reports based on that data in shorter timeframes.

Aberdeen Group’s report Big Data, Big Moves found that 78% of organizations reporting off Big Data sets (those organizations reporting off data sets from 6 terabytes to more than 1,000 terabytes) had to deliver reports within a day of a request being lodged, with 27% requiring data delivery at near real-time speeds.

In stark contrast, only 50% of organizations dealing with ‘small data’ (organizations reporting off data sets of less than 6 terabytes) had to deliver reports within a day of a request being lodged, with just 10% requiring data delivery at near real-time speeds.

This marriage, of proliferating volume and demand for speed, represents a significant challenge for many organizations as they attempt to leverage their data assets for competitive advantage, and a vast opportunity for products like SAP HANA.

Where to next?

Tune back in for part two of this two-part series to discover how together SAP HANA and Yellowfin can deliver real-time business value to business users, find out why the need for BI IT-business collaboration is intensified when implementing Big Data analytics, and learn The Data Warehousing Institute’s (TDWI) top five strategic tips for achieving an effective Big Data analytics program.

 

TAGGED: Aberdeen Group, bi software, BI solution, big data, big data analytics, business intelligence, gartner, HANA, idc, SAP HANA, tdwi, Yellowfin
Yellowfin June 29, 2012
Share this Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

ai in automotive industry
AI Is Changing the Automotive Industry Forever
Artificial Intelligence
SMEs Use AI-Driven Financial Software for Greater Efficiency
Artificial Intelligence
data security in big data age
6 Reasons to Boost Data Security Plan in the Age of Big Data
Big Data
data science anayst
Growing Demand for Data Science & Data Analyst Roles
Data Science

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

data security in big data age
Big Data

6 Reasons to Boost Data Security Plan in the Age of Big Data

7 Min Read
How Big Data Is Transforming the Maritime Industry
Big Data

How Big Data Is Transforming the Maritime Industry

8 Min Read
utlizing big data for business model
Big Data

Utilizing Data to Discover Shortcomings Within Your Business Model

6 Min Read
embedded bi tools
Business Intelligence

Embedded BI Tools Bring Huge Benefits to Business Applications

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?