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Power of data. Simplicity of design. Speed of innovation.
IBM Spark
Analytics Operating System
Spark processes and analyzes data from ANY data source
Business Applications and Business Intelligence
Apache Spark
Spark

SQL
Spark

Streaming
MLlib

(machine

learning)
GraphX
Hadoop Database Mainframe
Data-

warehouse
visit www.spark.tc for more informationIBM | Spark
Spark is complementary to Hadoop, but much faster, with in-memory performance
RunningTime
0
30
60
90
120
Logistic Regression in Hadoop & Spark
Hadoop
110
Spark
0.9
Hadoop
Spark
visit www.spark.tc for more informationIBM | Spark
Clients are evolving their approach to data
Big Data Maturity
Value Operations Data
Warehousing
Line of Business
and Analytics
New Business
Imperatives
We are here
Lower the Cost
of Storage
Warehouse
Modernization
• Data lake

• Data offload

• ETL offload

• Queryable archive
and staging
Data-informed
Decision Making
• Full dataset
analysis (no more
sampling)

• Extract value from
non-relational data

• 360 view of all
enterprise data

• Exploratory analysis
and discovery
Business
Transformation
• Create new
business models

• Risk-aware
decision making

• Fight fraud and
counter threats

• Optimize
operations

• Attract, grow,
retain customers
visit www.spark.tc for more informationIBM | Spark
Why does Spark matter to a business?
visit www.spark.tc for more informationIBM | Spark
1 Spark makes it easier to access
and work with all data
2 Spark lets you develop line-of-business
applications faster
3 Spark learns from data
and delivers in real-time
- Enables new data-based use
cases

- All data: Internal/External,
Structured/Unstructured

- Real-time insights, from all
data sources

- Automates analytics with
machine learning

- Clients that lead in data, lead
in their industry
IBM has the largest investment in Spark of any company in the world
visit www.spark.tc for more informationIBM | Spark
IBM Spark Technology Center
Top committer/contributor

300+ inventors

Commitment to educate 1 million data scientists

Contributed SystemML

Founding member of AMPLab

Partnerships in the ecosystem
For Apache Spark news and innovation
from Spark Technology Center —
Sign up for the newsletter
at www.spark.tc

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Spark | IBM

  • 1. Power of data. Simplicity of design. Speed of innovation. IBM Spark
  • 3. Spark processes and analyzes data from ANY data source Business Applications and Business Intelligence Apache Spark Spark SQL Spark Streaming MLlib (machine learning) GraphX Hadoop Database Mainframe Data- warehouse visit www.spark.tc for more informationIBM | Spark
  • 4. Spark is complementary to Hadoop, but much faster, with in-memory performance RunningTime 0 30 60 90 120 Logistic Regression in Hadoop & Spark Hadoop 110 Spark 0.9 Hadoop Spark visit www.spark.tc for more informationIBM | Spark
  • 5. Clients are evolving their approach to data Big Data Maturity Value Operations Data Warehousing Line of Business and Analytics New Business Imperatives We are here Lower the Cost of Storage Warehouse Modernization • Data lake • Data offload • ETL offload • Queryable archive and staging Data-informed Decision Making • Full dataset analysis (no more sampling) • Extract value from non-relational data • 360 view of all enterprise data • Exploratory analysis and discovery Business Transformation • Create new business models • Risk-aware decision making • Fight fraud and counter threats • Optimize operations • Attract, grow, retain customers visit www.spark.tc for more informationIBM | Spark
  • 6. Why does Spark matter to a business? visit www.spark.tc for more informationIBM | Spark 1 Spark makes it easier to access and work with all data 2 Spark lets you develop line-of-business applications faster 3 Spark learns from data and delivers in real-time - Enables new data-based use cases - All data: Internal/External, Structured/Unstructured - Real-time insights, from all data sources - Automates analytics with machine learning - Clients that lead in data, lead in their industry
  • 7. IBM has the largest investment in Spark of any company in the world visit www.spark.tc for more informationIBM | Spark IBM Spark Technology Center Top committer/contributor 300+ inventors Commitment to educate 1 million data scientists Contributed SystemML Founding member of AMPLab Partnerships in the ecosystem
  • 8. For Apache Spark news and innovation from Spark Technology Center — Sign up for the newsletter at www.spark.tc