AI Deradicalization Tools: How Chatbots Could Help Combat Violent Extremism Online 
Chinese Brands Are Taking Over Brazil — And It's Just Getting Started 
Japan Opens Arms Export Floodgates: New Policy Draws Global Defense Interest 
Chinese Cars in Europe: Consumer Trust Is Shifting Fast 
ASML Raises 2026 Revenue Outlook as AI Chip Demand Surges 
Volkswagen Q1 2026 Sales Decline Amid China and U.S. Market Pressures 
Hermès Q1 2026 Sales Miss Expectations Amid Iran War and China Slowdown 
Texas AG Investigates Lululemon Over "Forever Chemicals" in Activewear 
San Francisco Suspect Arrested After Molotov Cocktail Attack on OpenAI CEO Sam Altman's Home 
SanDisk Joins Nasdaq-100, Replacing Atlassian on April 20 
Nissan Plans Major Lineup Cuts and AI Expansion in Bid for Global Sales Recovery 
CSN's Cement Unit Sale Could Exceed $2 Billion as Global Giants Circle 
KKR's $820M Investment Fuels Samsung SDS AI Expansion, Sending Group Shares Soaring 
Uber Bets Big on Autonomous Vehicles with $10 Billion Commitment 
Iran War Drives Asia's Plastic Crisis — and a Green Packaging Boom 
Qantas Raises Fuel Cost Forecast Amid Middle East Oil Crisis 
MATCH Act: How New U.S. Chip Legislation Could Freeze China's Semiconductor Ambitions 
SAN JOSE, Calif., June 01, 2017 -- MapR Technologies, Inc., provider of the Converged Data Platform that enables organizations to create intelligent applications that fully integrate analytics with operational processes in real time, today announced new features for its Native Spark Connector for MapR-DB. MapR will showcase the MapR Converged Data Platform along with its updated Spark Connector at the Spark Summit conference taking place next week at the Moscone West Convention Center in San Francisco from June 5-7.
The Native Spark Connector now includes support for data frames and dataset APIs for tight integration between Apache Spark and MapR-DB. HBase and MapR-DB binary tables can be queried directly with Spark, removing typical intermediary layers with other solutions. This enables application developers and data engineers to build faster data pipelines and reduce latency associated with data movement. The Spark Connector benefits use cases such as data warehouse offload that leverage Spark with MapR-DB. With the Spark/MapR-DB connectors, MapR-DB can be used as a data source and as a data destination for Spark jobs.
MapR will also present on stage at Spark Summit on Wednesday, June 7 at 3:35pm in Room 2014. Sameer Nori, director, partner solutions, MapR, will share a presentation titled, “Operationalizing Machine Learning at Scale.” The presentation will focus on how leading practitioners have been able to scale their machine learning deployments in production and cover use cases including autonomous cars and analytics as a service for retail and financial services.
For more information on the Native Spark Connector for MapR-DB, visit here https://mapr.com/blog/apache-spark-json-integration/.
Tweet this: .@MapR optimizes MapR-DB with deep Apache Spark integrations http://bit.ly/2rUslO5
About MapR Technologies
Headquartered in San Jose, Calif., MapR provides the industry’s only Converged Data Platform that enables customers to harness the power of big data by combining analytics in real-time to operational applications to improve business outcomes. With MapR, enterprises have a data management platform for undertaking digital transformation initiatives to achieve competitive edge. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are part of the global MapR partner ecosystem. For more information, visit www.mapr.com.
Media Contacts: Beth Winkowski MapR Technologies, Inc. (978) 649-7189 [email protected] Kim Pegnato MapR Technologies, Inc. (781) 620-0016 [email protected]
