Eberhard Hechler

Speaker Details

Company: 
IBM
Bio
Eberhard is an Executive Architect from the IBM Germany R&D Lab. He is a member of DB2 Analytics Accelerator development. After 2,5 years at the IBM Kingston Lab in New York, he worked in SW development, performance optimization, IT/solution architecture & design, Hadoop and Spark integration and MDM.
He began to work with DB2 for MVS, focusing on testing and performance measurements. He has worked worldwide with IBM clients from various industries on a vast number of topics, such as DWH and BI solutions, information architectures, and industry solutions.  
From 2011-2014, he was at IBM Singapore, working as the Lead Big Data Architect in the Communications Sector of IBM’s Software Group.
He is a member of the IBM Academy of Technology Leadership Team, and co-authored the following books: 
  • Enterprise MDM, Pearson, 2008, ISBN: 0132366258
  • The Art of Enterprise Information Architecture, Pearson, 2010, ISBN: 0137035713
  • Beyond Big Data, Pearson, 2014, ISBN: 013350980X
 
Past presentation
28 May 2019
12:00 - 13:00
European SQLAdria Seminar – Šibenik 2019 IT Operational Analytics with Machine Learning for z/OS

This presentation describes the key technical aspects to develop new types of data scientist related applications on IBM Z, and provides sample analytical insight for IT Operational Analytics (ITOA) that is derived from various client engagements. It highlights the current and future integration of Machine Learning for z/OS with the Db2 Analytics Accelerator. The use case scenarios include anomaly detection from SMF data, correlation discovery among SMF measures, and predictive analytics for instance related to batch job elapsed times. The presentation is complemented with an introduction in Machine Learning for z/OS and a short demo with some use case scenarios.


27 May 2019
14:00 - 15:00
European SQLAdria Seminar – Šibenik 2019 Db2 Analytics Accelerator – Advanced Data Refresh Option

Clients are using the Db2 Analytics Accelerator with various data refresh options. This presentation is a deep dive into advanced data refresh strategies that are comprised of various techniques, such incremental update in conjunction with continuous replication, incremental update while LOADing data into Db2 for z/OS, and using the Db2 Analytics Accelerator Loader to load data into Accelerator shadow tables and Accelerator-only-Tables (AOTs). We explore advanced data refresh options to use the Accelerator to store SMF data into tables that are partitioned by range, and how the data can be managed and limited in size. These hybrid data refresh options enable clients to use the Accelerator in a much more flexible way for a much broader set of use cases.


12 June 2018
12:00 - 13:00
European SQLAdria Seminar – Šibenik 2018 Db2 Analytics Accelerator V7 Technical Deep Dive

This presentation describes various integration scenarios of the Db2 Analytics Accelerator. This includes integration best practices to use the Accelerator with Big SQL on the Hortonworks HDP platform, enabling SQL on Hadoop with Db2 for z/OS underpinned with the Accelerator as a federated data source. Furthermore, we describe the integration of the Accelerator with Machine Learning (ML) for z/OS and Data Science Experience (DSX) Local, and the benefit it represents for specific use cases. This session provides feedback and concrete scenarios from client engagements


11 June 2018
14:00 - 15:00
European SQLAdria Seminar – Šibenik 2018 Db2 Analytics Accelerator Integration Scenarios

This presentation is a deep dive into the functionality and features of the latest Db2 Analytics Accelerator V7. It covers in detail the different deployment options and their characteristics, the architecture, coexistence aspects and the supported functionality and how it compares to the Db2 Analytics Accelerator V5. The comparison will address details on data types, SQL statements and query execution, load aspects, and support of stored procedures. We also dive into the functionality of True-HTAP and explore advanced data refresh strategies.


13 June 2017
09:00 - 10:15
European SQLAdria Seminar – Šibenik 2017 The Data Lake with DB2 for z/OS and the DB2 Analytics Accelerator

The data lake is a solution for a system of insight that has gained strong momentum with clients. This presentation describes the deployment of a data lake in the context of z Systems analytics. Data lakes are usually associated with offloading large data volumes to an open source platform. We present DB2 for z/OS and the DB2 Analytics Accelerator deployment options with the data lake, and illustrate how the DB2 Analytics Accelerator enables more choices for making DB2 for z/OS and other z Systems data available for analytics while keeping z Systems within the analytics lifecycle. This limits data movement and performs analytics close to where the data originates and resides.  


12 June 2017
10:30 - 11:30
European SQLAdria Seminar – Šibenik 2017 Data Scientist Applications with IBM Machine Learning for z/OS - including a Demo

IBM Machine Learning for z/OS provides the framework to enable IBM z Systems clients to create and deploy self-learning machines that continuously improve and adapt with each new interaction/transaction. A continuous feedback loop provides progressively better predictions and optimization of the models. As an on premise solution, clients are able to keep their mission-critical z/OS data in place while adding external data to generate holistic insight. This presentation describes the key technical aspects to develop new types of data scientist related applications on the z Systems environment. It will further highlight its integration with the DB2 Analytics Accelerator. The presentation will be complemented with a demo.


Cognitive analytics has become an increasingly important business imperative across industries. This presentation describes the evolution of analytics and the key challenges in implementing cognitive analytics. It furthermore provides an overview of what IBM has to offer and details out a few use cases and industry opportunities. Last but not least, it describes a few integration scenarios and the role of the DB2 Analytics Accelerator from a z-centric cognitive perspective. 


01 December 2016
16:00 - 16:45
SQLAdria Seminar – Opatija 2016 Use Cases at the Intersection of Apache Spark/Hadoop and IBM z Analytics

Use Cases at the Intersection of Apache Spark/Hadoop and IBM z Analytics
Abstract: This presentation provides insight into sample integration points and use case scenarios that are derived from client engagements. We highlight integration options between DB2 for z/OS and the DB2 Analytics Accelerator with IBM BigInsights for Apache Hadoop and Spark. We demonstrate how to complement traditional z Analytics with Big Data analytics, e.g. by using SQL on open source (Big SQL and Spark SQL) and text analytics, and describe the integration of key Spark components into a z Analytics environment with DB2 for z/OS. We introduce opportunities for data scientists, application developers, and business analytics leaders as we reveal how the z Systems analytics portfolio is leveraging and integrating open source technology now.


01 December 2016
14:45 - 15:45
SQLAdria Seminar – Opatija 2016 The Data Lake with DB2 for z/OS and the DB2 Analytics Accelerator

The data lake is a solution for a system of insight that has gained strong momentum with clients. This presentation describes the deployment of a data lake in the context of z Systems analytics. Data lakes are usually associated with offloading large data volumes to an open source platform. We present DB2 for z/OS and the DB2 Analytics Accelerator deployment options with the data lake, and illustrate how the DB2 Analytics Accelerator enables more choices for making DB2 for z/OS and other z Systems data available for analytics while keeping z Systems within the analytics lifecycle. This limits data movement and performs analytics close to where the data originates and resides.  
 


01 December 2016
13:15 - 13:45
SQLAdria Seminar – Opatija 2016 Operational Analytics with optimized Common Data Provider (CDP) and the DB2 Analytics Accelerator

The new IBM Common Data Provider (CDP) for z Systems, V1.1 provides for optimized integration with the DB2 Analytics Accelerator. The CDP can provide access to z/OS operational SMF log data in batch mode or in near-real-time streaming mode; it has been optimized for transforming and loading SMF log records directly into the Accelerator with DB2 for z/OS just containing schema definition (no SMF log data itself). This enables significant faster report generation via Tivoli Decision Support (TDS) for increased business agility. This presentation describes the architecture of this integrated IT operational analytics solution.


17 June 2015
09:30 - 11:00
European SQLAdria Seminar – Dubrovnik 2015 Real-Time z Analytics by leveraging the Hadoop Ecosystem

Content: Starting with an explanation of Big Data and the Apache Hadoop ecosystem with key components and initiatives, complementing z Analytics by using Big Data analytics and Natural Language Processing (NLP), integration of BigInsights with z Systems, customer use case scenarios, keeping DB2 for z/OS as control point for real-time z Analytics with SPSS.

Abstract: During the past decade, the Apache Hadoop open source community has developed an impressive set of products and tools that represent an important aspect of Big Data. In the beginning, we will explain the term Big Data and its relationship to the Hadoop ecosystem. We will furthermore illustrate how to complement existing 'traditional' DB2 for z/OS based analytical capabilities with Big Data analytics, e.g. by using text analytics and Natural Language Processing (NLP) as part of IBM InfoSphere BigInsights. This leverages key Hadoop components (MapReduce programming model, HDFS, HBase, Zookeeper, etc.) to analyze data from Enterprise-owned systems of engagement (e.g. call center transcripts, e-mail traffic, Facebook), and data from external social media sites (e.g. Twitter tweeds, Facebook sites, Blogs) and putting this in context with transaction insight from data on IBM z Systems. We will provide examples on how Hadoop systems - by using HBase and Hive with corresponding connectors to existing z Systems – and Big SQL on HDFS and Hive will enrich analytical insight. We will describe the IBM SPSS Modeler Server Scoring Adapter for DB2 on z/OS that embeds scoring algorithms directly into IBM DB2 for z/OS transactional data, which enables the real-time scoring of new transactional data as it is created.


10 April 2015
15:15 - 16:15
SQLAdria Seminar – Ljubljana 2015 Hybrid Transactional/Analytical Processing (HTAP) Workloads on z Systems
Content: Delivering HTAP - a single workload-optimized system that integrates operations and business critical analytics into one streamlined system
 
Abstract: This presentation will describe the Hybrid Transactional/Analytical Processing (HTAP) concept that enables the execution of true mixed workloads, meaning high volume business transactions and batch workloads running concurrently with complex queries. HTAP solves the issue of analytical latency in multiple ways, specifically by eliminating the need for multiple copies of the same or modified / aggregated data and the requirement for data to be off-loaded from transactional systems of record to systems of insight. In this presentation, we will describe today's capabilities with the IBM DB2 Analytics Accelerator and future trends.

10 April 2015
14:00 - 15:15
SQLAdria Seminar – Ljubljana 2015 Real-Time z Analytics
Content: IBM DB2 Analytics Accelerator as an enabler for an Operational Data Store (ODS) on z Systems, low-latency replication scenarios, operational analytics for fraud prevention
 
Abstract: Transactional processing has been the primary processing paradigm on z Systems for years. With the IBM DB2 Analytics Accelerator, z Systems and specifically DB2 for z/OS clients can broaden the processing scope to include Analytics - even with low latency. This presentation will introduce the key technical aspects of the Accelerator, and how it can be used for real-time / low latency analytics on z Systems. This includes implementations of Operational Data Stores (ODS) for operational analytics for instance for fraud discovery and prevention. In addition, we will describe the IBM SPSS Modeler Server Scoring Adapter for DB2 on z/OS that embeds scoring algorithms directly into IBM DB2 for z/OS transactional data, which enables the real-time scoring of new transactional data as it is created.

10 April 2015
11:45 - 13:00
SQLAdria Seminar – Ljubljana 2015 Augmenting z Analytics by leveraging the Hadoop Ecosystem
Content: Complementing z Analytics by using Big Data analytics and Natural Language Processing (NLP), integration of BigInsights with z Systems, customer use case scenarios, keeping DB2 for z/OS as control point for enriched z Analytics
 
Abstract: This presentation will illustrate how to complement existing 'traditional' DB2 for z/OS based analytical capabilities with Big Data analytics, e.g. by using text analytics and Natural Language Processing (NLP) as part of IBM InfoSphere BigInsights. This leverages key Hadoop components (MapReduce programming model, HDFS, HBase, Zookeeper, etc.) to analyze data from Enterprise-owned systems of engagement (e.g. call center transcripts, e-mail traffic, Facebook), and data from external social media sites (e.g. Twitter tweeds, Facebook sites, Blogs) and putting this in context with transaction insight from data on IBM z Systems. We will provide examples on how Hadoop systems - by using HBase and Hive with corresponding connectors to existing z Systems – and Big SQL on HDFS and Hive will enrich analytical insight.

10 April 2015
10:15 - 11:30
SQLAdria Seminar – Ljubljana 2015 Big data / Hadoop for dummies
Content: Definition and explanation of Big Data and Hadoop, meaning of Big Data and Hadoop, relevance and value to z Systems customers, specifically DB2 for z/OS, key concepts of Big Data and Hadoop, Apache Hadoop ecosystem with key components and initiatives
 
Abstract: During the past decade, the Apache Hadoop open source community has developed an impressive set of products and tools that represent an important aspect of Big Data. During this introductory presentation, we will explain the term Big Data, its relationship to the Hadoop ecosystem, and corresponding use case scenarios. We will highlight the key Hadoop components, including the latest development of Hadoop 2 with Spark, YARN, and the broad processing paradigms (e.g. batch, interactive, analytics, low latency workloads) that are now possible with Hadoop 2. Most importantly, we will present the business drivers and use cases that have inspired open source innovations, including its value for z Systems clients - specifically DB2 for z/OS clients.

 

sqladria

SQL Adria is the independent, non-profit organization that gathers relational database users for Croatia and Slovenia. It was founded 1994. and in the same year it has become the regional user group.

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Events in 2019

Ljubljana - 9th & 10th April 2019
Belgrade - 12th April 2019
Šibenik - 26th - 30th May 2019
Zagreb - 26th September 2019
Opatija - 28th & 29th November 2019