--- title: RheoData Blog | big data description: big data | RheoData Blog Posts --- [![RheoData - Logo - transparent-1](https://rheodata.com/hs-fs/hubfs/RheoData%20-%20Logo%20-%20transparent-1.png?width=250&height=50&name=RheoData%20-%20Logo%20-%20transparent-1.png "RheoData - Logo - transparent-1")](https://rheodata.com/) - Who We Are - [About Us](https://rheodata.com/who-we-are) - Services - Consulting - [The Studio](https://rheodata.com/the-studio) - Accelerators - [FrostCore](https://rheodata.com/frostcore) - [FrostAI](https://rheodata.com/frostai) - [RedCore](https://rheodata.com/redcore) - [RedAI](https://rheodata.com/redai) - [RedGuard](https://rheodata.com/redguard) - [BlueCore](https://rheodata.com/bluecore) - [Calypso](https://rheodata.com/calypso) - Services - [Data Integration](https://rheodata.com/data-integration) - [Analytics](https://rheodata.com/data-analytics) - [Multi-Cloud](https://rheodata.com/multi-cloud) - [Oracle@Google Cloud](https://rheodata.com/oracle-google-cloud) - 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[Shoe Carnival](https://rheodata.com/customer-stories/shoe-carnival-goldengate-microservices-migration) - [Icon](https://rheodata.com/customer-stories/icon-transatlantic-replication) - [Inovalon](https://rheodata.com/customer-stories/inovalon-data-pipeline-automation) - Resources - [Blog](https://rheodata.com/en-us/blog) - Books - [Pro Oracle GoldenGate 23ai](https://rheodata.com/pro-oracle-goldengate-23ai-for-the-dba-pdf-landing-page) - [Contact](https://rheodata.com/contact) Posts about # big data ## [Zero-ETL: What is it and what Oracle products support it](https://rheodata.com/en-us/blog/zero-etl) Posted by [Bobby Curtis](https://rheodata.com/en-us/blog/author/bobby-curtis) | Nov 10, 2025 9:30:41 PM Businesses are constantly finding themselves increasingly reliant on data ingestion, big data,... [CONTINUE READING](https://rheodata.com/en-us/blog/zero-etl) ## [Silent install for Oracle GoldenGate 21c (Big Data – Microservices edition) – Step 1 of 2](https://rheodata.com/en-us/blog/silent-install-for-oracle-goldengate-21c-big-data-microservices-edition-step-1-of-2) Posted by [Bobby Curtis](https://rheodata.com/en-us/blog/author/bobby-curtis) | Nov 10, 2025 9:29:09 PM Been awhile since I did a post on installing Oracle GoldenGate. The last post I did was back in... [CONTINUE READING](https://rheodata.com/en-us/blog/silent-install-for-oracle-goldengate-21c-big-data-microservices-edition-step-1-of-2) ## [Silent install for Oracle GoldenGate 21c (Big Data – Microservices edition) – Step 2 of 2](https://rheodata.com/en-us/blog/silent-install-for-oracle-goldengate-21c-big-data-microservices-edition-step-2-of-2) Posted by [Bobby Curtis](https://rheodata.com/en-us/blog/author/bobby-curtis) | Nov 10, 2025 8:47:35 PM The second part of installing Oracle GoldenGate (Microservices) for Big Data is to install the... 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All Rights Reserved. ```json { "@context" : "https://schema.org", "@type" : "Organization", "address" : { "@type" : "PostalAddress", "addressCountry" : "US", "addressRegion" : "GA" }, "description" : "Elite specialist partner for Oracle, Snowflake, BigQuery, and AI-ready data platforms.", "email" : "hello@rheodata.com", "foundingDate" : "2020", "logo" : "https://rheodata.com/hubfs/RheoData%20-%20Logo%20-%20transparent-1.png", "name" : "RheoData", "sameAs" : [ "https://www.linkedin.com/company/rheodata" ], "url" : "https://rheodata.com" } ``` ```json { "@context" : "https://schema.org", "@type" : "WebSite", "name" : "RheoData", "potentialAction" : { "@type" : "SearchAction", "query-input" : "required name=search_term_string", "target" : "https://rheodata.com/search?q={search_term_string}" }, "url" : "https://rheodata.com" } ``` ```json { "@context" : "https://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "", "url" : "" }, "dateModified" : "2026-04-17T17:31:04+0000", "datePublished" : "2025-10-30T17:41:53+0000", "description" : "big data | RheoData Blog Posts", "headline" : "<span id="hs_cos_wrapper_name" class="hs_cos_wrapper hs_cos_wrapper_meta_field hs_cos_wrapper_type_text" style="" data-hs-cos-general-type="meta_field" data-hs-cos-type="text" >rheodata_blog listing page</span>", "image" : "", "mainEntityOfPage" : { "@id" : "https://rheodata.com/en-us/blog/tag/big-data", "@type" : "WebPage" }, "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://rheodata.com/hubfs/RheoData%20-%20Logo%20-%20transparent-1.png" }, "name" : "RheoData" } } ``` ```json { "@context" : "http://schema.org", "@type" : "BlogPosting", "articleBody" : "Businesses are constantly finding themselves increasingly reliant on data ingestion, big data, analytics, and following traditional ETL (Extract, Transform, Load) processes; which at times can be a bottleneck to timely business functions. At AWS re:Invent 2023, Amazon recognized this and announced the concept of Zero-ETL. Other companies, such as Snowflake and Salesforce followed suite by launching features that further modernized data integration. In doing research on Zero-ETL and closer scrutiny, the concept of Zero-ETL is more aligned with ‘zero integration’ rather than the removal of ETL from business processes. So what is Zero-ETL? Zero-ETL is a type of data integration that doesn’t involve the use of traditional approaches of extract, transform, and load (ETL). Unlike traditional methods that involve ETL and loading data between systems, Zero-ETL moves data directly from one system to another. It is a a no-frills approach to data transfer, eliminating any need for intermediate steps to clean or modify the data. In essence Zero-ETL is data replication, ensuring almost instant data transfer without the processing hurdles. Zero-ETL is becoming popular? The concept of Zero-ETL has become popular in the data management domain, in part, by the prevailing belief that it acts as a potential substitute for traditional ETL. This perspective have organizations and industries, leading many to consider Zero-ETL as the “next step” or even a “replacement” for ETL. Traditional ETL processes, with their structured approach to ETL (extracting, transforming, and loading), have been foundational in data integration for decades. ETL enabled businesses to harmonize diverse data sources, making them ready for deeper analytical tasks, AI modeling, and ML implementations. With the introduction of zero ETL and its focus on direct data transfers, there’s a new narrative – emphasizing immediate, transformation-free data transfers. This narrative is attractive to many, especially those looking for simpler and quicker data replication solutions. Is the nomenclature of Zero-ETL misleading? With the nomenclature of Zero-ETL, the marketing term is catchy and can quickly lead to discussions; however, this is also a point of contention. The term “Zero-ETL” is more like “Zero-EL.” The technology that embodies the concept of “Zero-EL” concentrates on the extraction and loading stages of the process while sidestepping the transformation step of the process. With the advancement of technologies, the trend of reducing unnecessary data movement is becoming apparent; however, data movement is still required! The technologies and procedures for extracting and loading data are ever evolving and becoming more simplified; but the transformative aspects remain a significant part of the puzzle before the industry can truly embrace “Zero-ETL”. Transformative processes are integral to shaping and repurposing data for operational and analytical needs. Benefits of Zero-ETL: Let’s put aside the catchy marketing terms like “Zero-ETL” for the next few minutes. There is no doubt that the industry is looking for simpler, easier, and efficient way of data movement and data management; there are an array of benefits: Speedy Data Transfer – Promptness of data transfers. Emphasis on direct data movement allows for swift data migrations. This facilitates timely insights and promotes swift decision-making. Simplified Implementation – Leads to quicker setups, minimizes learning curve, and simplified maintenance; enabling a smoother process for integrating new data sources. Cost Efficiency – Capitalize on cloud-native platforms and scalable data integration technologies; leading to cost-effective solution. Enhanced Data Quality – the directness of Zero-ETL can lead to more transparent data transfers. When preserving data integrity is crucial, the direct approach can provide a higher assurance of quality; ensuring data remains consistent and reliable. Real-Time Insights – data is often available in real-time or near-real-time as long as the data needs little transformation, no cleansing, or augmentation. The prompt availability of data can yield more accurate analytics, optimized AL/ML trianing, and ensuring up-to-date reporting. In summary of these benefits, Zero-ETL is rooted in these benefits with an emphasis on immediate data replication. Disadvantages of Zero-ETL: With every new solution, marketing catch phrase, or technology, there is always drawbacks. Zero-ETL is an exciting “concept” and is making a lot of noise in the data community with data engineers and others; yet it is worth looking at some of the disadvantages of this concept. Limited Data Transfer Capabilities – data movement between systems sometime requires intermediate steps; this presents challenges when data requires cleaning, standardization, or complex transformations prior to consumption. Hindering the ability to cater to most data reporting needs. Compromised Data Governance – traditionally, ETL solutions are equipped with controls to safeguard and uphold the quality of the data transfers. Zero-ETL leans on the systems that are involved in the transfer to manage the critical tasks. Restricted Integration Potential – the Zero-ETL concept is characterized by its direct data transfer between systems; which can be a limiting factor when the systems involved are outside of the particular ecosystem. This confinement can restirict the integration mechanism, potentialy leaving out valuable data sources. When could Zero-ETL be the right approach? Like all technologies and concepts that come to market, the efficacy of Zero-ETL hinges on understand the benefits and disadvantages. The two concepts, where organizations and industries could leverage Zero-ETL are: Instant Replication: Scenario: Organizations resort to defined ETL solutions to transfer data from transactional databases to a central data repository. Zero-ETL Application: Zero-ETL can function as a data replication instrument, enabling Change-Data-Capture (CDC) techinques to directly mirror data into a data warehouse. Streaming Ingestion: Scenario: Organization relies on real-time data inputs from a myriad of sources. Data must be immediatly accessible for analytics purpose without intermediate storage or transformation. Zero-ETL Application: Data streaming and message queuing platforms channel real-time data. Integrating Zero-ETL methodology with a data warehouse, data from input streams become immediately available for analytics Where or what tools does Oracle offer that support Zero-ETL? In the Oracle eco-system, the underlying concepts of Zero-ETL have always existed within Oracle Data Integration stack. Over time, the associated data integration stack has changed between on-premise and cloud; and the terms that Oracle use are around “data mesh” and many other terms. The Oracle products that can help organizations enable the concept of Zero-ETL are: On-premises: Oracle GoldenGate (all versions and free) Oracle Data Integrator (ODI) Oracle Database (converge database) Cloud: Oracle GoldenGate Service (GGS) Oracle Autonomous Database (ADW/ATP/AJD) Oracle MySQL Heatwave (OLTP and OLAP in same database) Conclusion: New terms and technologies emerge on a regular basis and capture the attention of decision-makers and practitioners alike. With all trends, it is critical to evaluate each trend before diving in. Understanding the core functionality, strengths, and limitation of the tools that enable Zero-ETL is vital. Every tool and technique has its place, the key to discerning is how, when, and where to apply them the best. Don’t always buy into the hype and find more of a fit for the concept and use the correct technologies.", "author" : { "@type" : "Person", "name" : "Bobby Curtis", "sameAs" : "", "url" : "https://rheodata.com/en-us/blog/author/bobby-curtis" }, "dateModified" : "10/11/2025", "datePublished" : "10/11/2025", "headline" : "Zero-ETL: What is it and what Oracle products support it", "image" : { "@type" : "ImageObject", "height" : 400, "url" : "https://50642793.fs1.hubspotusercontent-na1.net/hubfs/50642793/Imported_Blog_Media/zero-etl-1.png", "width" : 750 }, "mainEntityOfPage" : "https://rheodata.com/en-us/blog/zero-etl", "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://50642793.fs1.hubspotusercontent-na1.net/hubfs/50642793/RheoData%20-%20Logo%20-%20transparent-1.png" }, "name" : "RheoData", "url" : "rheodata.com" } } ``` ```json { "@context": "http://schema.org", "@type": "BlogPosting", "headline": "Silent install for Oracle GoldenGate 21c (Big Data – Microservices edition) – Step 1 of 2", "mainEntityOfPage": "https://rheodata.com/en-us/blog/silent-install-for-oracle-goldengate-21c-big-data-microservices-edition-step-1-of-2", "datePublished": "10/11/2025", "dateModified": "10/11/2025", "articleBody": "Been awhile since I did a post on installing Oracle GoldenGate. The last post I did was back in 2019 which showed how to do a silent install of Oracle GoldenGate 12c – Classic. In looking through my posts I realized I have not done one on installing Microservices (any of them) silently; here is a post on installing Oracle GoldenGate 21c for Big Data (Microservices). Note: This same approach can be followed with all the Oracle GoldenGate Microservices releases (12.3.0.0.1 or later). Downloading Binaries The binaries for Oracle GoldenGate for Big Data are downloaded from the Oracle Technology Network (OTN). The current published release is 21.4.0.0.0. However, as of April 26, 2022, there have been announcements that 21.5.0.0.0 has been released (it has not appeared on any Oracle sites yet). Download the version which you need. Unzip Binaries After downloading the binaries, they need to be copied to the server in which Oracle GoldenGate will be run. Once the binaries are transferred, they need to be unzipped to a temporary directory $ unzip ./214000_ggs_Linux_x64_BigData_services_shiphome.zip -d ./ogg21cbd Create Directories Before installing Oracle GoldenGate for Big Data, establishing the directory structure needs to be done. The following commands can be used to create the Oracle GoldenGate Home and other directories needed: $ mkdir -p /opt/app/oracle/product/21.4.0/ogghome_1 $ mkdir -p /opt/app/oraInventory Installing Oracle GoldenGate With the binaries unzipped, the next step is to install Oracle GoldenGate. This process will be done using the silent install process. To perform a silent, install the oggcore.rsp file needs to be updated. The information below is a sample response file that illustrates what a working file looks like without the comments. See in mind that your file will look a bit different depending on you $OGG_HOME AND Inventory location Example: oracle.install.responseFileVersion=/oracle/install/rspfmt_ogginstall_response_schema_v21_1_0 INSTALL_OPTION=Generic SOFTWARE_LOCATION=/opt/app/oracle/product/21.4.0/ogghome_1 INVENTORY_LOCATION=/opt/app/oraInventory UNIX_GROUP_NAME=oinstall Once a response file has been defined, the next thing is to install Oracle GoldenGate with the response file: $ cd ./ogg21cbd/ggs_Linux_x64_BigData_services_shiphome/Disk1 $ ./runInstaller -silent \ -ignoreSysPrereqs \ -ignorePrereq \ -showProgress \ -waitForCompletion \ -responseFile \ /tmp/ogg21cbd/ggs_Linux_x64_BigData_services_shiphome/Disk1/response/oggcore.rsp After the installation is done, make sure that the orainstRoot.sh file is run as the root user. Once the binaries are installed, your Oracle GoldenGate Home ($OGG_HOME) is now defined. Update the needed profile information (.bash_profile or .bashrc) to have this defined automatically when you login to the user. The next step is to define and install the deployment home ($DEPLOYMENT_HOEM) that will be used within the architecture. I’ll write this up in the next post on this topic. Enjoy!!", "image": { "@type": "ImageObject", "url": "https://50642793.fs1.hubspotusercontent-na1.net/hubfs/50642793/Imported_Blog_Media/blog-feature-Logo-Oct-31-2025-04-57-26-6962-PM.png", "height": 400, "width": 750 }, "author": { "@type": "Person", "name": "Bobby Curtis", "url": "https://rheodata.com/en-us/blog/author/bobby-curtis", "sameAs": "" }, "publisher": { "@type": "Organization", "name": "RheoData", "url": "rheodata.com", "logo": { "@type": "ImageObject", "url": "https://50642793.fs1.hubspotusercontent-na1.net/hubfs/50642793/RheoData%20-%20Logo%20-%20transparent-1.png" } } } ``` ```json { "@context" : "http://schema.org", "@type" : "BlogPosting", "articleBody" : "The second part of installing Oracle GoldenGate (Microservices) for Big Data is to install the Deployment Home. To install the Deployment Home, in releases 12.3 through 19.1, you had to run the Oracle GoldenGate Configuration Assistant (OGGCA) at least once. This allowed you to walk through the deployment process and configure the environment to your needs, then save your responses to a response file. Starting in 21.4.0.0.0 (the first time I’ve seen it), Oracle has finally provided a response file for OGGCA (only after six years of asking). This response file comes packaged with the binaries now! Downloading Binaries If you have not already downloaded the binaries needed, you can do that here. Then refer to Step 1 of 2 blog posts related to this topic for installing them. Create Directories Before installing Oracle GoldenGate for Big Data, establishing the directory structure for the binaries needed to be done. After the core directories are established and the binaries installed, there is still a need for additional directories. These directories are used for the Deployment Home that will be defined. The following commands can be used to create the Oracle GoldenGate Deployment Home: $ mkdir -p /opt/app/oracle/gg_deployments Installing Oracle GoldenGate – Deployment Home To install the Oracle GoldenGate (Microservices) Deployment Home, the Oracle GoldenGate Configuration Assistant (OGGCA) has to be run. The OGGCA is an assistant that allows for the structure of the Deployment Home to be standardized or customized. Initially, a user would have to run OGGCA to provide all the details and generate the response file. At that point, the OGGCA could be closed and run silently with the response file. In the current release of Oracle GoldenGate (Microservices), Oracle has provided a response file template for the Oracle GoldenGate Configuration Assistant (OGGCA). The below example is what a basic, insecure response file looks like for a Deployment Home. Example: Response file oracle.install.responseFileVersion=/oracle/install/rspfmt_oggca_response_schema_v21_1_0 Oracle GoldenGate deployment configuration options and details SECTION A – GENERAL CONFIGURATION_OPTION=ADD DEPLOYMENT_NAME=BD_TEST SECTION B – ADMINISTRATOR ACCOUNT ADMINISTRATOR_USER=oggadmin ADMINISTRATOR_PASSWORD=WElcome12345## SECTION C – SERVICE MANAGER SERVICEMANAGER_DEPLOYMENT_HOME=/opt/app/oracle/gg_deploymenets/ServiceManager HOST_SERVICEMANAGER=localhost PORT_SERVICEMANAGER=16000 SECURITY_ENABLED=false STRONG_PWD_POLICY_ENABLED=true CREATE_NEW_SERVICEMANAGER=true REGISTER_SERVICEMANAGER_AS_A_SERVICE=true INTEGRATE_SERVICEMANAGER_WITH_XAG=false EXISTING_SERVICEMANAGER_IS_XAG_ENABLED=false SECTION D – SOFTWARE HOME OGG_SOFTWARE_HOME=/opt/app/oracle/product/21.4.0/ogghome_1 SECTION E – DEPLOYMENT DIRECTORIES OGG_DEPLOYMENT_HOME=/opt/app/oracle/gg_deployments/BD_TEST OGG_ETC_HOME= OGG_CONF_HOME= OGG_SSL_HOME= OGG_VAR_HOME= OGG_DATA_HOME= SECTION I – SERVICES ADMINISTRATION_SERVER_ENABLED=true PORT_ADMINSRVR=16001 DISTRIBUTION_SERVER_ENABLED=false PORT_DISTSRVR=16002 NON_SECURE_DISTSRVR_CONNECTS_TO_SECURE_RCVRSRVR=false RECEIVER_SERVER_ENABLED=true PORT_RCVRSRVR=16003 METRICS_SERVER_ENABLED=true METRICS_SERVER_IS_CRITICAL=false PORT_PMSRVR=16004 UDP_PORT_PMSRVR=16005 PMSRVR_DATASTORE_TYPE=LMDB PMSRVR_DATASTORE_HOME=/opt/app/oracle/gg_deployments/lmdb There is a lot to unpack with the Oracle GoldenGate Configuration Assistant (OGGCA) response file. With this being a first-time run of the OGGCA, the whole file is important. If this was just adding deployment various sections have the be edited. The object of this response file is to build a new deployment home with a new ServiceManager and first deployment. Once a response file has been defined, the next thing is to install Oracle GoldenGate Deployment Home with the response file: $ cd $OGG_HOME/bin $ ./oggca -silent -responseFile /tmp/ogg21cbd/ggs_Linux_x64_BigData_services_shiphome/Disk1/response/oggca.rsp The above response file will set up the ServiceManager on a Unix/Linux platform as a daemon. The end of the configuration will ask to run a root script that allows the ServiceManager to restart when the server is rebooted. With this type of configuration, you’ll only have one ServiceManager per host. After the ServiceManager and Deployment have been deployed; the deployment can be accessed through the ServiceManager. The image below shows how the ServiceManager page would look like.", "author" : { "@type" : "Person", "name" : "Bobby Curtis", "sameAs" : "", "url" : "https://rheodata.com/en-us/blog/author/bobby-curtis" }, "dateModified" : "10/11/2025", "datePublished" : "10/11/2025", "headline" : "Silent install for Oracle GoldenGate 21c (Big Data – Microservices edition) – Step 2 of 2", "image" : { "@type" : "ImageObject", "height" : 400, "url" : "https://50642793.fs1.hubspotusercontent-na1.net/hubfs/50642793/Imported_Blog_Media/ServiceManager-main-3.png", "width" : 750 }, "mainEntityOfPage" : "https://rheodata.com/en-us/blog/silent-install-for-oracle-goldengate-21c-big-data-microservices-edition-step-2-of-2", "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "url" : "https://50642793.fs1.hubspotusercontent-na1.net/hubfs/50642793/RheoData%20-%20Logo%20-%20transparent-1.png" }, "name" : "RheoData", "url" : "rheodata.com" } } ```