Big Data Protector for MapR
DATA SHEET
Big Data Protector for MapR Optimized, seamlessly integrated data-centric security for MapR Distribution including Hadoop Organizations are leveraging MapR Distribution including Apache™ Hadoop® to analyze large quantities of data from a variety of streams for insight. However, much of this data is considered sensitive, including payment card numbers and personally identifiable information, and requires security to comply with privacy laws, data governance, and other mandates. Protegrity Big Data Protector for MapR helps resolve these challenges by transparently securing data within MapR Distribution with coarse- and finegrained methods, including encryption and Protegrity Vaultless Tokenization (PVT), along with centralized policy/key management, auditing and reporting.
Security Designed for MapR Protegrity Big Data Protector for MapR delivers highly transparent file-level AES 256 encryption and patented PVT at the field-level for the MapR Distribution. It utilizes Protegrity’s industry-leading centralized administration software to simplify and consistently enforce security. Source Systems (Internal / External)
Target Systems (Internal / External)
Consumption BI Systems
FPG Inbound Files
Node Node Node
ETL Inbound Files
Pig, Hive Ecosystem Hbase Components or Impala
Database Server
Other/ Downstream Systems
MapReduce YARN Database Protector
Sqoop
HDFS
Database
Edge Node
File Protector
OS
Java Program Application Protector
Data protected by Protegrity
ESA Centralized Policy Administration, Key Management, and Audit Log Collection
Key Benefits
DATA SHEET
Data Security At Rest, In Transit, and In Use Protegrity Big Data Protector for MapR secures any sensitive data in Hadoop – at rest in the Hadoop Distributed File System (HDFS); in use during MapReduce, Hive, and Pig processing; and in transit to and from enterprise data systems – with advanced tokenization and encryption. This continuous protection ensures data is secure throughout its lifecycle no matter where it is or how it’s used. The actual sensitive data is transparently protected with policy-based controls, while non-sensitive data can remain in the clear. This enables maximum usability for users and business processes to continue to mine the data for transformative decision-making insights.
Coarse-Grained Data Security Protegrity Big Data Protector for MapR provides both volume/disk encryption and highly transparent, on-node AES 256 file encryption, leveraging and extending native Hadoop infrastructure to enable the most efficient, effective security available for HDFS. With Protegrity’s consistent policy and key management, and centralized administration, data remains secure and available for authorized users in any protected environment.
Fine-Grained Data Security Protegrity provides additional protection at the field level, utilizing PVT, masking, strong encryption, or format-preserving encryption. Each of these technologies provide various benefits for protecting individual data fields. With the highest performance protection available, PVT is ideal for Big Data environments. It protects sensitive data while permitting applications, such as business intelligence platforms, to perform analysis without the need to re -identify the data, minimizing performance impact.
Security & Monitoring Across MapR and Beyond Protegrity Big Data Protector for MapR provides protection throughout the lifecycle of data in Hadoop. As data is ingested from a variety of sources – e.g. files, databases, applications, cloud environments – Protegrity Big Data Protector tokenizes or encrypts sensitive data fields or files according to the data security policy and places them into secure storage in HDFS. Protegrity enhances MapReduce, Hive, or Pig tasks with policy-driven data security functions to support the use of data according to roles. This allows sensitive data to remain secure during analysis, while retaining the visibility critical to the deep business insights promised by Big Data. As data enters or leaves MapR to the enterprise, or for secondary use, the same policy-level protection, file encryption, and data tokenization is applied. It can be centrally managed and monitored across MapR, the enterprise, and cloud platforms protected by Protegrity. This continuous protection ensures security of sensitive data throughout MapR and beyond.
Protegrity provides the only unified data security platform that protects diverse sensitive data across the enterprise - in applications, data warehouses, mainframes, big data and cloud environments. We help organizations manage risk, achieve compliance, and safeguard data using encryption and tokenization technologies that integrate seamlessly into the business. USA (HQ) 5 High Ridge Park, 2nd Floor Stamford, CT 06905 USA Tel + 1 203 326 7200 UK 3 Regius Court, Church Road Penn, Buckinghamshire HP10 8RL GBR Tel + 44 1494 857762 www.protegrity.com
Big Data Protector for MapR Optimized, seamlessly integrated data-centric security for MapR Distribution including Hadoop Organizations are leveraging MapR Distribution including Apache™ Hadoop® to analyze large quantities of data from a variety of streams for insight. However, much of this data is considered sensitive, including payment card numbers and personally identifiable information, and requires security to comply with privacy laws, data governance, and other mandates. Protegrity Big Data Protector for MapR helps resolve these challenges by transparently securing data within MapR Distribution with coarse- and finegrained methods, including encryption and Protegrity Vaultless Tokenization (PVT), along with centralized policy/key management, auditing and reporting.
Security Designed for MapR Protegrity Big Data Protector for MapR delivers highly transparent file-level AES 256 encryption and patented PVT at the field-level for the MapR Distribution. It utilizes Protegrity’s industry-leading centralized administration software to simplify and consistently enforce security. Source Systems (Internal / External)
Target Systems (Internal / External)
Consumption BI Systems
FPG Inbound Files
Node Node Node
ETL Inbound Files
Pig, Hive Ecosystem Hbase Components or Impala
Database Server
Other/ Downstream Systems
MapReduce YARN Database Protector
Sqoop
HDFS
Database
Edge Node
File Protector
OS
Java Program Application Protector
Data protected by Protegrity
ESA Centralized Policy Administration, Key Management, and Audit Log Collection
Key Benefits
DATA SHEET
Data Security At Rest, In Transit, and In Use Protegrity Big Data Protector for MapR secures any sensitive data in Hadoop – at rest in the Hadoop Distributed File System (HDFS); in use during MapReduce, Hive, and Pig processing; and in transit to and from enterprise data systems – with advanced tokenization and encryption. This continuous protection ensures data is secure throughout its lifecycle no matter where it is or how it’s used. The actual sensitive data is transparently protected with policy-based controls, while non-sensitive data can remain in the clear. This enables maximum usability for users and business processes to continue to mine the data for transformative decision-making insights.
Coarse-Grained Data Security Protegrity Big Data Protector for MapR provides both volume/disk encryption and highly transparent, on-node AES 256 file encryption, leveraging and extending native Hadoop infrastructure to enable the most efficient, effective security available for HDFS. With Protegrity’s consistent policy and key management, and centralized administration, data remains secure and available for authorized users in any protected environment.
Fine-Grained Data Security Protegrity provides additional protection at the field level, utilizing PVT, masking, strong encryption, or format-preserving encryption. Each of these technologies provide various benefits for protecting individual data fields. With the highest performance protection available, PVT is ideal for Big Data environments. It protects sensitive data while permitting applications, such as business intelligence platforms, to perform analysis without the need to re -identify the data, minimizing performance impact.
Security & Monitoring Across MapR and Beyond Protegrity Big Data Protector for MapR provides protection throughout the lifecycle of data in Hadoop. As data is ingested from a variety of sources – e.g. files, databases, applications, cloud environments – Protegrity Big Data Protector tokenizes or encrypts sensitive data fields or files according to the data security policy and places them into secure storage in HDFS. Protegrity enhances MapReduce, Hive, or Pig tasks with policy-driven data security functions to support the use of data according to roles. This allows sensitive data to remain secure during analysis, while retaining the visibility critical to the deep business insights promised by Big Data. As data enters or leaves MapR to the enterprise, or for secondary use, the same policy-level protection, file encryption, and data tokenization is applied. It can be centrally managed and monitored across MapR, the enterprise, and cloud platforms protected by Protegrity. This continuous protection ensures security of sensitive data throughout MapR and beyond.
Protegrity provides the only unified data security platform that protects diverse sensitive data across the enterprise - in applications, data warehouses, mainframes, big data and cloud environments. We help organizations manage risk, achieve compliance, and safeguard data using encryption and tokenization technologies that integrate seamlessly into the business. USA (HQ) 5 High Ridge Park, 2nd Floor Stamford, CT 06905 USA Tel + 1 203 326 7200 UK 3 Regius Court, Church Road Penn, Buckinghamshire HP10 8RL GBR Tel + 44 1494 857762 www.protegrity.com
