6 Issues That Can Derail Your Big Data Initiative

6 Issues That Can Derail Your Big Data InitiativeHow to Get Hadoop Data Management on the Right Track

$$$

Six Issues That Can Derail Your Big Data

55 percent of big data projects are never finished.1

Don’t waste time and resources, hindering performance and delaying return on investment, by not being prepared.

1 Kaskade, Jim. “CIOs & Big Data: What Your IT Team Wants You to Know,” infochimps, January 2013.

6

1. Hadoop is Complex – and Expensive

Since 2009, there’s been as much as a 225,000 percent growth in demand for big data skills.2

You need to reduce your organization’s dependency on brittle custom code and expensive skill sets.

2 Backaitis, Virginia. “Big Data Skills Shortage? Not on MapR’s (Pre-IPO) Watch,” CMSWire, January 2015.

$$$

2. Don’t Drown in the Data Ponds

Data ponds can be an analysis nightmare.

Big data users have been slow to adopt data quality management, master data management, and data governance – but those practices can help prevent big data from spinning out of control.

Download the white paper,

Breaking Big: When Big Data Goes Bad

at bit.ly/BigDataGoesBad.

3. Hadoop Is Not an Integration Tool

It’s an ecosystem that stores and processes data.

You still need to find integration tools that fit your needs.

4. It’s a Mistake to Act Like Hadoop is an RDBMS

Hadoop is built to handle the big data your RDBMS can’t.

Mitigate your risks. Know when your RDBMS has to do the heavy lifting, and when to rely on Hadoop.

Download the fact sheet,

iWay Big Data Integrator,

at bit.ly/BDIFacts.

5. Attend to Both Structured and Unstructured

Organizations only use 31 percent of their unstructured data, 28 percent of their semi-structured data, and 40 percent of their structured data.3

Hadoop must connect to other systems and sources, regardless of type.

Integrate all of your data, not just the data you’re used to.

3 Evelson, Boris. “Make Your BI Environment More Agile With BI on Hadoop,” Forrester, August 2015.

6. Refine Data as it’s Moved Into Hadoop

When big data is “dirty,” stakeholders don’t trust it.

Manage and ensure your data’s integrity as part of the data ingestion process.

6 Issues That Can Derail Your Big Data Initiative

Know what you’re getting into.

For more information on modern, native Hadoop integration, please visit us at informationbuilders.com, and download our full whitepaper at bit.ly/BigDataIssues.