Anastasia Ailamaki is a Professor of Computer and Communication Sciences at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland. Her research interests are in data-intensive systems and applications, and in particular (a) in strengthening the interaction between the database software and emerging hardware and I/O devices, and (b) in automating data management to support computationally-demanding, data-intensive scientific applications. She has received an ERC Consolidator Award (2013), a Finmeccanica endowed chair from the Computer Science Department at Carnegie Mellon (2007), a European Young Investigator Award from the European Science Foundation (2007), an Alfred P. Sloan Research Fellowship (2005), eight bestpaper awards in database, storage, and computer architecture conferences (2001-2012), and an NSF CAREER award (2002). She holds a Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She is an ACM fellow and the vice chair of the ACM SIGMODcommunity, as well as a senior member of the IEEE. She has served as a CRA-W mentor and is a member of the Expert Network of the World Economic Forum.Erietta Liarou is currently a co-founder in a data analytics startup. She received her Ph.D. in Computer Science from University of Amsterdam in 2013. In her thesis she worked on the first column-store stream processing system, MonetDB/DataCell, that leverages analytical systems technology for scalable stream processing. Her research interests include database architectures, transaction processing on modern hardware, data-stream processing and distributed query processing. In the past she has been with the Data-Intensive Applications and Systems Laboratory (DIAS) in EPFL, the Dutch National Research Center for Mathematics and Computer Science (CWI) in Amsterdam, The Netherlands, the Intelligence Systems Laboratory in Technical University of Crete, Greece, and with the System S group in IBM T.J.Watson Research Center, Hawthorne, NY,USA. In 2011, she received the Best Paper Award in Challenges and Visions at the Very Large Database Conference.Pinar Tozun is a research staff member at IBM Almaden Research Center. Before joining IBM, she received her Ph.D. from EPFL. Her research focuses on HTAP engines, performance characterization of database workloads, and scalability and efficiency of data management systems on modern hardware. She received a Jim Gray Doctoral Dissertation Award Honorable Mention in 2016. During her Ph.D., she also spent a summer in Oracle Labs (Redwood Shores, CA) as an intern. Before starting her Ph.D., she received her BSc degree in Computer Engineering department of Koc University in 2009.Danica Porobic is a Principal Member of Technical Staff at Oracle working on the database in-memory technologies. She received her Ph.D. from EPFL where she focused on designing scalable transaction processing systems for non-uniform hardware. She has graduated top of her class with MSc and BSc in Informatics from University of Novi Sad and has worked at Oracle Labs and Microsoft SQL Server.Iraklis Psaroudakis is a Senior Member of Technical Staff at Oracle Labs. His research interests include improving the performance of analytical workloads, parallel programming, and OS/runtime-system interaction. Prior to Oracle, he completed his Ph.D. at the Data-Intensive Application and Systems (DIAS) Laboratory of the Ecole Polytechnique Federale de Lausanne (EPFL), focusing on scaling up highly concurrent analytical database workloads on multi-socket multi-core servers through (a) sharing data and work across concurrent queries, and (b) adaptive NUMA-aware data placement and task scheduling. During his Ph.D., he cooperated with the SAP HANA database team. Before starting his Ph.D., he completed his studies in Electrical & Computer Engineering at the National Technical University of Athens (NTUA).

• Introduction.- Exploiting Resources of a Processor Core.- Minimizing Memory Stalls.- Scaling-up OLTP.- Scaling-up OLAP Workloads.- Outlook.- Summary.- Bibliography.- Authors' Biographies.

Anastasia Ailamaki is a Professor of Computer and Communication Sciences at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland. Her research interests are in data-intensive systems and applications, and in particular (a) in strengthening the interaction between the database software and emerging hardware and I/O devices, and (b) in automating data management to support computationally-demanding, data-intensive scientific applications. She has received an ERC Consolidator Award (2013), a Finmeccanica endowed chair from the Computer Science Department at Carnegie Mellon (2007), a European Young Investigator Award from the European Science Foundation (2007), an Alfred P. Sloan Research Fellowship (2005), eight bestpaper awards in database, storage, and computer architecture conferences (2001-2012), and an NSF CAREER award (2002). She holds a Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She is an ACM fellow and the vice chair of the ACM SIGMODcommunity, as well as a senior member of the IEEE. She has served as a CRA-W mentor and is a member of the Expert Network of the World Economic Forum.Erietta Liarou is currently a co-founder in a data analytics startup. She received her Ph.D. in Computer Science from University of Amsterdam in 2013. In her thesis she worked on the first column-store stream processing system, MonetDB/DataCell, that leverages analytical systems technology for scalable stream processing. Her research interests include database architectures, transaction processing on modern hardware, data-stream processing and distributed query processing. In the past she has been with the Data-Intensive Applications and Systems Laboratory (DIAS) in EPFL, the Dutch National Research Center for Mathematics and Computer Science (CWI) in Amsterdam, The Netherlands, the Intelligence Systems Laboratory in Technical University of Crete, Greece, and with the System S group in IBM T.J.Watson Research Center, Hawthorne, NY,USA. In 2011, she received the Best Paper Award in Challenges and Visions at the Very Large Database Conference.Pinar Tozun is a research staff member at IBM Almaden Research Center. Before joining IBM, she received her Ph.D. from EPFL. Her research focuses on HTAP engines, performance characterization of database workloads, and scalability and efficiency of data management systems on modern hardware. She received a Jim Gray Doctoral Dissertation Award Honorable Mention in 2016. During her Ph.D., she also spent a summer in Oracle Labs (Redwood Shores, CA) as an intern. Before starting her Ph.D., she received her BSc degree in Computer Engineering department of Koc University in 2009.Danica Porobic is a Principal Member of Technical Staff at Oracle working on the database in-memory technologies. She received her Ph.D. from EPFL where she focused on designing scalable transaction processing systems for non-uniform hardware. She has graduated top of her class with MSc and BSc in Informatics from University of Novi Sad and has worked at Oracle Labs and Microsoft SQL Server.Iraklis Psaroudakis is a Senior Member of Technical Staff at Oracle Labs. His research interests include improving the performance of analytical workloads, parallel programming, and OS/runtime-system interaction. Prior to Oracle, he completed his Ph.D. at the Data-Intensive Application and Systems (DIAS) Laboratory of the Ecole Polytechnique Federale de Lausanne (EPFL), focusing on scaling up highly concurrent analytical database workloads on multi-socket multi-core servers through (a) sharing data and work across concurrent queries, and (b) adaptive NUMA-aware data placement and task scheduling. During his Ph.D., he cooperated with the SAP HANA database team. Before starting his Ph.D., he completed his studies in Electrical & Computer Engineering at the National Technical University of Athens (NTUA).

• Introduction.- Exploiting Resources of a Processor Core.- Minimizing Memory Stalls.- Scaling-up OLTP.- Scaling-up OLAP Workloads.- Outlook.- Summary.- Bibliography.- Authors' Biographies.

Anastasia Ailamaki is a Professor of Computer and Communication Sciences at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland. Her research interests are in data-intensive systems and applications, and in particular (a) in strengthening the interaction between the database software and emerging hardware and I/O devices, and (b) in automating data management to support computationally-demanding, data-intensive scientific applications. She has received an ERC Consolidator Award (2013), a Finmeccanica endowed chair from the Computer Science Department at Carnegie Mellon (2007), a European Young Investigator Award from the European Science Foundation (2007), an Alfred P. Sloan Research Fellowship (2005), eight bestpaper awards in database, storage, and computer architecture conferences (2001-2012), and an NSF CAREER award (2002). She holds a Ph.D. in Computer Science from the University of Wisconsin-Madison in 2000. She is an ACM fellow and the vice chair of the ACM SIGMODcommunity, as well as a senior member of the IEEE. She has served as a CRA-W mentor and is a member of the Expert Network of the World Economic Forum.Erietta Liarou is currently a co-founder in a data analytics startup. She received her Ph.D. in Computer Science from University of Amsterdam in 2013. In her thesis she worked on the first column-store stream processing system, MonetDB/DataCell, that leverages analytical systems technology for scalable stream processing. Her research interests include database architectures, transaction processing on modern hardware, data-stream processing and distributed query processing. In the past she has been with the Data-Intensive Applications and Systems Laboratory (DIAS) in EPFL, the Dutch National Research Center for Mathematics and Computer Science (CWI) in Amsterdam, The Netherlands, the Intelligence Systems Laboratory in Technical University of Crete, Greece, and with the System S group in IBM T.J.Watson Research Center, Hawthorne, NY,USA. In 2011, she received the Best Paper Award in Challenges and Visions at the Very Large Database Conference.Pinar Tozun is a research staff member at IBM Almaden Research Center. Before joining IBM, she received her Ph.D. from EPFL. Her research focuses on HTAP engines, performance characterization of database workloads, and scalability and efficiency of data management systems on modern hardware. She received a Jim Gray Doctoral Dissertation Award Honorable Mention in 2016. During her Ph.D., she also spent a summer in Oracle Labs (Redwood Shores, CA) as an intern. Before starting her Ph.D., she received her BSc degree in Computer Engineering department of Koc University in 2009.Danica Porobic is a Principal Member of Technical Staff at Oracle working on the database in-memory technologies. She received her Ph.D. from EPFL where she focused on designing scalable transaction processing systems for non-uniform hardware. She has graduated top of her class with MSc and BSc in Informatics from University of Novi Sad and has worked at Oracle Labs and Microsoft SQL Server.Iraklis Psaroudakis is a Senior Member of Technical Staff at Oracle Labs. His research interests include improving the performance of analytical workloads, parallel programming, and OS/runtime-system interaction. Prior to Oracle, he completed his Ph.D. at the Data-Intensive Application and Systems (DIAS) Laboratory of the Ecole Polytechnique Federale de Lausanne (EPFL), focusing on scaling up highly concurrent analytical database workloads on multi-socket multi-core servers through (a) sharing data and work across concurrent queries, and (b) adaptive NUMA-aware data placement and task scheduling. During his Ph.D., he cooperated with the SAP HANA database team. Before starting his Ph.D., he completed his studies in Electrical & Computer Engineering at the National Technical University of Athens (NTUA).

• Introduction.- Exploiting Resources of a Processor Core.- Minimizing Memory Stalls.- Scaling-up OLTP.- Scaling-up OLAP Workloads.- Outlook.- Summary.- Bibliography.- Authors' Biographies.