Welcome!

Java IoT Authors: Tim Hinds, Elizabeth White, Yeshim Deniz, Douglas Lyon, Stackify Blog

Related Topics: @DXWorldExpo, Java IoT, Microservices Expo, Recurring Revenue, @CloudExpo, SDN Journal

@DXWorldExpo: Article

Five Big Data Features in Oracle

Traditional RDBMS and new data processing

Over the past two decades relational databases have been most successful in serving large scale OLTP and OLAP applications across enterprises. However, in the past couple of years with the advent of Big Data, processing especially processing unstructured data coupled with the need for processing massive quantities of data, made the industry to look into non RDBMS solutions. This has led to the popularity of NOSQL databases as well as massively parallel processing frameworks.

However, the traditional RDBMS have been quick to react and added several Big Data features as part of their offering so that enterprises with a heavy investment in traditional RDBMS can have the best of both worlds by properly leveraging these new features.

The following sections provide an idea about Big Data features in the popular Oracle databases. Please refer to my earlier articles on Five Big Data Features in SQL Server, Five Big Data Features in DB2.

1. External Tables: As the name suggests, an external table accesses data in external sources as if this data were in a table in the database. In the earlier releases external tables were mainly used to access CSV files and Oracle Loader files. However, to support Big Data, Oracle has released a direct connector to the Hadoop HDFS file system on which an external table can be built. With a SQL-like CREATE TABLE syntax an external table feature allows easy access to the HDFS file system. Oracle SQL Connector for HDFS creates the external table definition from a Hive table by contacting the Hive meta store client to retrieve information about the table columns and the location of the table data. In addition, the Hive table data paths are published to the location files of the Oracle external table.

Considering the distinct advantages of the Columnar databases for certain types of workloads, external tables also support Columnar storage. With Hybrid Columnar Compression, the database stores the same column for a group of rows together. The data block does not store data in row-major format, but uses a combination of both row and columnar methods.

Storing column data together, with the same data type and similar characteristics, dramatically increases the storage savings achieved from compression. The database compresses data manipulated by any SQL operation, although compression levels are higher for direct path loads. Database operations work transparently against compressed objects, so no application changes are required.

As a complimentary option, Oracle also provides a Loader for Hadoop. Oracle Loader for Hadoop is a MapReduce application that is invoked as a command-line utility. It provides an efficient and high-performance loader for fast movement of data from a Hadoop cluster into a table in an Oracle database.

2. Oracle Text: Oracle Text enables you to build text query applications and document classification applications. Oracle Text provides indexing, word and theme searching, and viewing capabilities for text. Oracle Text indexes text by converting all words into tokens. The general structure of an Oracle Text CONTEXT index is an inverted index where each token contains the list of documents (rows) that contain that token. The lexer breaks the text into tokens according to your language. These tokens are usually words. Oracle Text can index most document formats including HTML, PDF, Microsoft Word, and plain text, you can load any supported type into the text column. Oracle Text can index most languages. BASIC_LEXER preference type to index whitespace-delimited languages such as English, French, German, and Spanish. MULTI_LEXER preference type for indexing tables containing documents of different languages such as English, German, and Japanese.

The basic Oracle Text query takes a query expression, usually a word with or without operators, as input. Oracle Text returns all documents (previously indexed) that satisfy the expression along with a relevance score for each document. Defining a custom thesaurus enables you to process queries more intelligently. Because users of your application might not know which words represent a topic, you can define synonyms or narrower terms for likely query terms. You can use the thesaurus operators to expand your query into your thesaurus terms.

With extensive support for processing unstructured text document, Oracle Text can play a major role in Big Data processing.

3. VLDB Partitioning: If one of the appealing features of Big Data frameworks is the ability to split large quantities of data across multiple nodes, then Oracle's partitioning features performs the similar functionality and it exists for a while. Partitioning addresses key issues in supporting very large tables and indexes by decomposing them into smaller and more manageable pieces called partitions, which are entirely transparent to an application. SQL queries and Data Manipulation Language (DML) statements do not need to be modified to access partitioned tables.

Partitioning is a critical feature for managing very large databases. Growth is the basic challenge that partitioning addresses for very large databases, and partitioning enables a divide and conquer technique for managing the tables and indexes in the database, especially as those tables and indexes grow.

Oracle also supports many different types of partitioning types depending on the nature of the applications.

  • Range Partitioning: Range partitioning maps data to partitions based on ranges of values of the partitioning key that you establish for each partition.
  • Hash Partitioning: Hash partitioning maps data to partitions based on a hashing algorithm that Oracle applies to the partitioning key that you identify.
  • List Partitioning: List partitioning enables you to explicitly control how rows map to partitions by specifying a list of discrete values for the partitioning key in the description for each partition.
  • Composite Partitioning: Composite partitioning is a combination of the basic data distribution methods; a table is partitioned by one data distribution method and then each partition is further subdivided into subpartitions using a second data distribution method.

4. Native Parallelism & Grid Computing: While the MPP (Massively Parallel Processing) computing forms the basis of Big Data Processing that does not mean the complimentary computing of SMP (symmetric processing) cannot be utilized for processing large quantities of data and many of the Big Data features in Oracle like VLDB partitioning fully utilize the SMP power of servers.

Parallel execution enables the application of multiple CPU and I/O resources to the execution of a single database operation. It dramatically reduces response time for data-intensive operations on large databases. You can use parallel queries and parallel subqueries in SELECT statements and execute in parallel the query portions of DDL statements and DML statements (INSERT, UPDATE, and DELETE). You can also query external tables in parallel.

Oracle also supports MPP kind of parallelism using Oracle Real Application Clusters (Oracle RAC). Oracle RAC enables you to cluster an Oracle database. Oracle RAC uses Oracle Clusterware for the infrastructure to bind multiple servers so they operate as a single system. While RAC may not be suitable for analytical workloads but in conjunction with other features it may help real time analytics.

5. XML DB: Oracle XML DB is a set of Oracle Database technologies related to high-performance handling of XML data: storing, generating, accessing, searching, validating, transforming, evolving, and indexing. It provides native XML support by encompassing both the SQL and XML data models in an interoperable way. Oracle XML DB is included as part of Oracle Database .

XMLType is an abstract data type for native handling of XML data in the database. This data type is integrated with the regular RDBMS tables so that this can be just another column in a table. The table with XMLType can be partitioned using the above mentioned VLDB partitioning techniques making it a good candidate for Big Data processing. There is another component of XMLDB namely Oracle XML DB Repository. Using XML DB Repository we can store any kind of documents in the repository, including XML documents that are associated with an XML schema.

Summary
Traditional high performance RDBMS like Oracle have their strengths. They are very strong in maintaining the data integrity and quality in the form of constraints, foreign keys and other validation mechanisms. They are also strong in transactional integrity by providing a superior locking model, automatic dead lock resolution, etc. Howeve, initially they are not perceived to adjust to Big Data processing needs of enterprises.

With the enhancements in the products made by respective vendors, now databases like Oracle have been enhanced with Big Data processing features that makes them the best candidate for enterprises looking for best-of- breed features between traditional RDBMS and Big Data processing systems, and to leverage the best of existing investments.

More Stories By Srinivasan Sundara Rajan

Highly passionate about utilizing Digital Technologies to enable next generation enterprise. Believes in enterprise transformation through the Natives (Cloud Native & Mobile Native).

@ThingsExpo Stories
BnkToTheFuture.com is the largest online investment platform for investing in FinTech, Bitcoin and Blockchain companies. We believe the future of finance looks very different from the past and we aim to invest and provide trading opportunities for qualifying investors that want to build a portfolio in the sector in compliance with international financial regulations.
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, whic...
Imagine if you will, a retail floor so densely packed with sensors that they can pick up the movements of insects scurrying across a store aisle. Or a component of a piece of factory equipment so well-instrumented that its digital twin provides resolution down to the micrometer.
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, provided an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settle...
Product connectivity goes hand and hand these days with increased use of personal data. New IoT devices are becoming more personalized than ever before. In his session at 22nd Cloud Expo | DXWorld Expo, Nicolas Fierro, CEO of MIMIR Blockchain Solutions, will discuss how in order to protect your data and privacy, IoT applications need to embrace Blockchain technology for a new level of product security never before seen - or needed.
Leading companies, from the Global Fortune 500 to the smallest companies, are adopting hybrid cloud as the path to business advantage. Hybrid cloud depends on cloud services and on-premises infrastructure working in unison. Successful implementations require new levels of data mobility, enabled by an automated and seamless flow across on-premises and cloud resources. In his general session at 21st Cloud Expo, Greg Tevis, an IBM Storage Software Technical Strategist and Customer Solution Architec...
Nordstrom is transforming the way that they do business and the cloud is the key to enabling speed and hyper personalized customer experiences. In his session at 21st Cloud Expo, Ken Schow, VP of Engineering at Nordstrom, discussed some of the key learnings and common pitfalls of large enterprises moving to the cloud. This includes strategies around choosing a cloud provider(s), architecture, and lessons learned. In addition, he covered some of the best practices for structured team migration an...
No hype cycles or predictions of a gazillion things here. IoT is here. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen. In his session at @ThingsExpo, Jay Mason, an Associate Partner of Analytics, IoT & Cybersecurity at M&S Consulting, presented a step-by-step plan to develop your technology implementation strategy. He also discussed the evaluation of communication standards and IoT messaging protocols, data...
Coca-Cola’s Google powered digital signage system lays the groundwork for a more valuable connection between Coke and its customers. Digital signs pair software with high-resolution displays so that a message can be changed instantly based on what the operator wants to communicate or sell. In their Day 3 Keynote at 21st Cloud Expo, Greg Chambers, Global Group Director, Digital Innovation, Coca-Cola, and Vidya Nagarajan, a Senior Product Manager at Google, discussed how from store operations and ...
In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and B...
"IBM is really all in on blockchain. We take a look at sort of the history of blockchain ledger technologies. It started out with bitcoin, Ethereum, and IBM evaluated these particular blockchain technologies and found they were anonymous and permissionless and that many companies were looking for permissioned blockchain," stated René Bostic, Technical VP of the IBM Cloud Unit in North America, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Conventi...
When shopping for a new data processing platform for IoT solutions, many development teams want to be able to test-drive options before making a choice. Yet when evaluating an IoT solution, it’s simply not feasible to do so at scale with physical devices. Building a sensor simulator is the next best choice; however, generating a realistic simulation at very high TPS with ease of configurability is a formidable challenge. When dealing with multiple application or transport protocols, you would be...
Smart cities have the potential to change our lives at so many levels for citizens: less pollution, reduced parking obstacles, better health, education and more energy savings. Real-time data streaming and the Internet of Things (IoT) possess the power to turn this vision into a reality. However, most organizations today are building their data infrastructure to focus solely on addressing immediate business needs vs. a platform capable of quickly adapting emerging technologies to address future ...
We are given a desktop platform with Java 8 or Java 9 installed and seek to find a way to deploy high-performance Java applications that use Java 3D and/or Jogl without having to run an installer. We are subject to the constraint that the applications be signed and deployed so that they can be run in a trusted environment (i.e., outside of the sandbox). Further, we seek to do this in a way that does not depend on bundling a JRE with our applications, as this makes downloads and installations rat...
Widespread fragmentation is stalling the growth of the IIoT and making it difficult for partners to work together. The number of software platforms, apps, hardware and connectivity standards is creating paralysis among businesses that are afraid of being locked into a solution. EdgeX Foundry is unifying the community around a common IoT edge framework and an ecosystem of interoperable components.
DX World EXPO, LLC, a Lighthouse Point, Florida-based startup trade show producer and the creator of "DXWorldEXPO® - Digital Transformation Conference & Expo" has announced its executive management team. The team is headed by Levent Selamoglu, who has been named CEO. "Now is the time for a truly global DX event, to bring together the leading minds from the technology world in a conversation about Digital Transformation," he said in making the announcement.
In this strange new world where more and more power is drawn from business technology, companies are effectively straddling two paths on the road to innovation and transformation into digital enterprises. The first path is the heritage trail – with “legacy” technology forming the background. Here, extant technologies are transformed by core IT teams to provide more API-driven approaches. Legacy systems can restrict companies that are transitioning into digital enterprises. To truly become a lead...
Digital Transformation (DX) is not a "one-size-fits all" strategy. Each organization needs to develop its own unique, long-term DX plan. It must do so by realizing that we now live in a data-driven age, and that technologies such as Cloud Computing, Big Data, the IoT, Cognitive Computing, and Blockchain are only tools. In her general session at 21st Cloud Expo, Rebecca Wanta explained how the strategy must focus on DX and include a commitment from top management to create great IT jobs, monitor ...
"Cloud Academy is an enterprise training platform for the cloud, specifically public clouds. We offer guided learning experiences on AWS, Azure, Google Cloud and all the surrounding methodologies and technologies that you need to know and your teams need to know in order to leverage the full benefits of the cloud," explained Alex Brower, VP of Marketing at Cloud Academy, in this SYS-CON.tv interview at 21st Cloud Expo, held Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clar...
The IoT Will Grow: In what might be the most obvious prediction of the decade, the IoT will continue to expand next year, with more and more devices coming online every single day. What isn’t so obvious about this prediction: where that growth will occur. The retail, healthcare, and industrial/supply chain industries will likely see the greatest growth. Forrester Research has predicted the IoT will become “the backbone” of customer value as it continues to grow. It is no surprise that retail is ...