Is Your Data Center Ready for Big Data?€¦ · Informatica PowerPoint Template Author: Informatica...

Post on 27-Jul-2020

5 views 0 download

transcript

1

Is Your Data Center Ready for Big Data?

Julie Lockner

VP, ILM Business Unit

2

Top Initiatives Influencing IT Purchases

3. Maintain Security & Compliance

2. Reduce Cost

1. Improve Business Process Efficiencies

3

Enhancing Analytics Is Among The Top 5 Priorities

© 2012 Enterprise Strategy Group

4

What Does “Big Data” Mean To You?

© 2012 Enterprise Strategy Group

11%

15%

17%

19%

21%

30%

42%

59%

0% 20% 40% 60% 80%

Hadoop / MapReduce

Web log and search engine data

Inability to store, process, and analyze large data sets

Scale-out storage

Complex data analytics

Enterprise data warehouses

Very large databases

Very large data sets

5

Largest Data Set Processing / Analytics Challenges

© 2012 Enterprise Strategy Group

9%

16%

16%

20%

20%

21%

22%

24%

25%

27%

28%

29%

30%

34%

0% 10% 20% 30% 40%

Data center floor space costs

Database software license costs

Data analytics application software license costs

Data governance

Data set sizes

Lack of skills

Master data management

Storage costs

Data synchronization

Business’ expectations on how long it takes for tasks to complete

Data cleansing tasks

Data quality

Data integration

Data security

What are the most significant data processing and analytics challenges your organization faces with its largest data set? (Percent of respondents, N=399, multiple responses accepted)

6

When Is Data Considered Big?

7

What Is Stopping You From Going Bigger?

8

Evolution in Big Data Analytics Platforms

Analytical DB Hadoop

OLTP

OLTP

EDW

Data Mart

Analytics

ODS

9

Current Deployed Data Analytics Platforms

© 2012 Enterprise Strategy Group

Custom-developed solution, 31%

General purpose distributed computing

environment, 15% SMP (symmetric multi-

processing) general purpose database, 14%

Workload-specific appliance, 12%

Public cloud-based platform (i.e., SaaS,

PaaS), 10%

MPP (massively parallel processing) analytical

database, 7%

MapReduce (e.g., Apache/Hadoop

cluster), 2%

Other, 1%

Don’t know, 8%

10

Plans For New Analytics Platform In the Next 12-18 Months

© 2012 Enterprise Strategy Group

11

Current & Preferred Infrastructure for Data Analytics

© 2012 Enterprise Strategy Group

Do It Yourself Reference

Architecture

Fully Integrated

Solution Don’t Know

12

Interest In MapReduce

13