#datastage etl tool

[datameticasols]

Automating the Modernization and Migration of ETLs: A Tech Odyssey

Datametica’s Raven is a proven code conversion service that comes with a 100% code conversion guarantee. Datametica has used Raven in numerous projects, from end to end cloud migration to just code conversion and optimization.

Visit: https://www.datametica.com/automating-the-modernization-and-migration-of-etls-a-tech-odyssey/

[kandisatechnologies]

Are you Looking Salesforce Data Migration Services In India, USA

Availability of data across CRMs is essential for all business tools to function at their full potential. We are providers of complete Data migration services in India. Our Salesforce data migration services are secure, seamless, reliable and are customized to meet your specific needs. As a leading Salesforce data migration service provider in India, we ensure the smooth transfer of data from your legacy systems to Salesforce, maintaining accuracy and integrity throughout the process. Depending on the complexity, we follow best practices using native tools like APEX Data Loader for straightforward migrations or ETL tools such as Data Loader.io, Informatica Cloud, Jitterbit, IBM DataStage, Pervasive and Boomi for more advanced requirements. Our experts for Salesforce data migration services in India and Salesforce data migration services in the USA are trained to assist you with data extraction and transformation from any existing legacy system such as SugarCRM, SalesforceIQ, Microsoft Dynamics CRM, Siebel and existing data sources such as MS SQL Server, Oracle Database, Flat Files, MS Access etc. as well as from Salesforce.com. Additionally, we provide Data processing services in USA, that ensures the migration and smooth processing of your data across multiple business platforms.

Let's connect: https://www.kandisatech.com/service/data-migration

[timothyvalihora]

Modern Tools Enhance Data Governance and PII Management Compliance

Modern data governance focuses on effectively managing Personally Identifiable Information (PII). Tools like IBM Cloud Pak for Data (CP4D), Red Hat OpenShift, and Kubernetes provide organizations with comprehensive solutions to navigate complex regulatory requirements, including GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act). These platforms offer secure data handling, lineage tracking, and governance automation, helping businesses stay compliant while deriving value from their data.

PII management involves identifying, protecting, and ensuring the lawful use of sensitive data. Key requirements such as transparency, consent, and safeguards are essential to mitigate risks like breaches or misuse. IBM Cloud Pak for Data integrates governance, lineage tracking, and AI-driven insights into a unified framework, simplifying metadata management and ensuring compliance. It also enables self-service access to data catalogs, making it easier for authorized users to access and manage sensitive data securely.

Advanced IBM Cloud Pak for Data features include automated policy reinforcement and role-based access that ensure that PII remains protected while supporting analytics and machine learning applications. This approach simplifies compliance, minimizing the manual workload typically associated with regulatory adherence.

The growing adoption of multi-cloud environments has necessitated the development of platforms such as Informatica and Collibra to offer complementary governance tools that enhance PII protection. These solutions use AI-supported insights, automated data lineage, and centralized policy management to help organizations seeking to improve their data governance frameworks.

Mr. Valihora has extensive experience with IBM InfoSphere Information Server “MicroServices” products (which are built upon Red Hat Enterprise Linux Technology – in conjunction with Docker\Kubernetes.) Tim Valihora - President of TVMG Consulting Inc. - has extensive experience with respect to:

IBM InfoSphere Information Server “Traditional” (IIS v11.7.x)

IBM Cloud PAK for Data (CP4D)

IBM “DataStage Anywhere”

Mr. Valihora is a US based (Vero Beach, FL) Data Governance specialist within the IBM InfoSphere Information Server (IIS) software suite and is also Cloud Certified on Collibra Data Governance Center.

Career Highlights Include: Technical Architecture, IIS installations, post-install-configuration, SDLC mentoring, ETL programming, performance-tuning, client-side training (including administrators, developers or business analysis) on all of the over 15 out-of-the-box IBM IIS products Over 180 Successful IBM IIS installs - Including the GRID Tool-Kit for DataStage (GTK), MPP, SMP, Multiple-Engines, Clustered Xmeta, Clustered WAS, Active-Passive Mirroring and Oracle Real Application Clustered “IADB” or “Xmeta” configurations. Tim Valihora has been credited with performance tuning the words fastest DataStage job which clocked in at 1.27 Billion rows of inserts\updates every 12 minutes (using the Dynamic Grid ToolKit (GTK) for DataStage (DS) with a configuration file that utilized 8 compute-nodes - each with 12 CPU cores and 64 GB of RAM.)

[web-scraping-tutorial-blog]

The 4 Best Data Cleaning Tools of 2024

The main reason for low data quality is the existence of dirty data in the database and data input errors. Different representation methods and inconsistencies between data caused by data from different sources are the cause of dirty data. Therefore, before data analysis, we should first perform data cleaning. Data cleaning is a process of collecting and analyzing data, re-examining and verifying data. Its purpose is to deal with different types of data, such as missing, abnormal, duplicate and illegal, to ensure the accuracy, completeness, consistency, validity and uniqueness of the data.

Let’s take a look at 4 commonly used data cleaning tools.

IBM InfoSphere DataStage is an ETL tool and part of the IBM Information Platforms Solutions suite and IBM InfoSphere. It uses a graphical notation to construct data integration solutions and is available in various versions such as the Server Edition, the Enterprise Edition, and the MVS Edition. It uses a client-server architecture. The servers can be deployed in both Unix as well as Windows.

It is a powerful data integration tool, frequently used in Data Warehousing projects to prepare the data for the generation of reports.

Pycharm is a PythonIDE integrated development environment. It has a set of tools that can help users improve efficiency when using Python language development, such as debugging, syntax highlights, project management, code jumps, smart prompts, automatic completion, unit testing, version control, etc. .

Excel is the main analysis tool for many data-related practitioners. It can handle all kinds of data. Statistical analysis and auxiliary decision-making operations. If performance and data volume are not considered, most data-related processing can be handled.

Python language is concise, easy to read, and extensible. It is an object-oriented dynamic language. It was originally designed to write automated scripts. It is increasingly used to develop independent large-scale projects, because the version is constantly updated and new language features are also increasing.

[amandajohn]

Top Data Integration Services In India

Here are some well-known data integration service providers in India

Vee Technologies: Vee Technologies offers data integration services. Our data integration services include Data Transformation, Data Cleansing & Deduplication, and Data Integration. Data integration service is an end-to-end offering that benefits businesses in making sense of complex data.

Informatica: Informatica is a global leader in cloud data integration and data management. Their solutions cover a wide range of data-related services, including data integration, data quality, data governance, and more.

IBM InfoSphere DataStage: IBM's DataStage is a popular data integration tool that enables businesses to design, develop, and execute data integration processes. It provides capabilities for ETL (Extract, Transform, Load) operations and data quality.

SnapLogic: SnapLogic is a cloud-based integration platform that offers both application and data integration services. It focuses on enabling businesses to connect various applications, data sources, and APIs.

SAP Data Services: SAP offers data integration services through its Data Services platform. It allows businesses to integrate, transform, and improve the quality of their data for better decision-making.

Syncsort (now Precisely): Syncsort, now part of Precisely, offers data integration and optimization solutions that help organizations collect, process, and distribute data across various platforms and systems.

Denodo: Denodo provides a data virtualization platform that enables real-time data integration from various sources without physically moving the data. It focuses on providing a unified view of data.

Alooma (Google Cloud): Alooma, acquired by Google Cloud, provides a modern data integration platform that supports real-time data pipelines and transformations.

Qlik Replicate: Qlik Replicate, formerly Attunity Replicate, offers real-time data replication and integration solutions. It helps organizations move and transform data efficiently.

TIBCO Software: TIBCO offers data integration and analytics solutions that help businesses connect, integrate, and analyze their data to gain insights.

[trainingiz]

Data Warehousing methods are performing higher on the significance of Big Data nowadays. A rewarding career awaits ETL-certified professionals with the knowledge to interpret the data and obtain the results possible to incorporate decision-makers. Our ETL TESTING ONLINE TRAINING program will let you acquire a thorough understanding of prime ETL tools like SSIS, Informatica, Talend, OBIEE, Pentaho, and DataStage. During the ETL online training sessions, you will work on real-time projects in data integration, data modelling, data warehousing, SCD, Hadoop connectivity, and data schema.

[datastagetraininghyderabad]

DataStage Training in Hyderabad

RS Trainings is proud to offer the best DataStage training in Hyderabad, providing comprehensive knowledge and real-time project explanations. DataStage is a powerful ETL (Extract, Transform, Load) tool that enables organizations to efficiently extract, transform, and load data from various sources into their data warehouses or other target systems. With our industry-expert trainers and hands-on approach, we ensure that you gain the skills and practical experience necessary to excel in the field of DataStage.

Why Choose RS Trainings for DataStage Training?

Expert Trainers: Our training sessions are conducted by experienced professionals who have extensive knowledge and hands-on experience in working with DataStage. They bring their real-world expertise and industry insights into the classroom, helping you understand the practical applications of DataStage in different scenarios and industries.

Comprehensive Curriculum: Our DataStage training program is designed to provide you with a solid foundation in DataStage concepts and techniques. We cover various topics such as data extraction, data transformation, data loading, parallel processing, job sequencing, and error handling. You will also learn about advanced features like change data capture and data integration with other tools.

Real-Time Project Explanation: At RS Trainings, we believe in a practical approach to learning. Along with theoretical concepts, we provide real-time project explanations that simulate actual industry scenarios. This hands-on experience allows you to apply the knowledge gained during the training to real-world situations, giving you a deeper understanding of DataStage implementation.

Hands-On Learning: We provide access to the DataStage software during the training, allowing you to practice and implement what you have learned. You will work on hands-on exercises, assignments, and real-time projects to strengthen your skills and build confidence in using DataStage.

Customized Training Options: We understand that each individual or organization may have unique requirements. Therefore, we offer flexible training options to suit your needs. Whether you prefer classroom training or online sessions, we have options available for both. We can also customize the training program to focus on specific aspects of DataStage based on your organization's requirements.

Ongoing Support: Our commitment to your success doesn't end with the completion of the training program. We provide ongoing support even after the training is over. Our trainers are available to answer your queries, clarify doubts, and provide guidance whenever needed. We also offer access to valuable learning resources, including updated course materials and reference guides.

Enroll in RS Trainings for the Best DataStage Training in Hyderabad:

If you are looking to enhance your ETL skills and master DataStage, RS Trainings is your ideal training partner. With our best-in-class training program, industry-expert trainers, and real-time project explanations, you will acquire the knowledge and practical experience required to become proficient in DataStage.

Take the first step towards a successful career in ETL and data integration by enrolling in our DataStage training program. Contact RS Trainings today and unlock the power of DataStage to streamline data processing and drive valuable insights for your organization.

[etlbitesting]

Q1

Q1. WHAT IS ETL? Which are the ETL Tools available in market? What is BI and which are BI tools?

ANS: ETL stands for Extract , Transform and Load. ETL tools are used to transform the data from source(files or tables) to load the target (tables or files). Generally, in data from data warehouse is used for analytical processing and that data is used in bi reports, so that the business should take the necessary actions using bi reports.

Below ETL tools are available in market

Informatica Powercenter

IBM DataStage

Ab-Initio

Big Data pipeline(HDFS,HIVE,PYSPARK, SCOOP are used )

BI Stands for Business Intelligence. The data from DWH is used to populate reports and dashboards so that business can take actions using the data from reports. ex: which car is popular in people and how much demand of that car so that production of that particular car should be increase or decrease as per demand.

Popular BI Tools:

Cognos

QlikView

Tableau

Power BI

[timothyvalihora]

An Overview of the IBM Infosphere Information Server

Carleton University alumnus Timothy Valihora is a resident of Vero Beach, Florida. Timothy Valihora serves has a consultant for the IBM Infosphere Information Server (IIS) software stack and has worked for well over 80 clients worldwide and has over 25 years of IT experience.

The IBM Infosphere Information Server is a platform for data integration that enables easier understanding, cleansing, monitoring, and transforming of data. It helps organizations and businesses to understand information from a variety of sources. With the Infosphere Information Server, these organizations are able to drive innovation and lower risk.

IBM Infosphere Information Server suite comprised of numerous components. These components perform different functions in information integration and form the building blocks necessary to deliver information across the organization. The components include IBM Infosphere Information Governance Catalog (IGC), IBM Infosphere DataStage (DS) and QualityStage (QS), IBM Infosphere Information Analyzer (IA), and IBM Infosphere Services Director (ISD.) In addition, the Infosphere Information Server suite of products - provides offerings to meet the business needs of organizations. They include InfoSphere Information Server Enterprise Edition (PX) and InfoSphere Information Server for Data Quality & Data Governance etc. The latest version of the Infosphere Server, Version 11.7.1.4, includes changes to features of the Information Server Web Console and the Microservices tier (Watson Knowledge Catalog as well as the Information Server Enterprise Search and Infosphere Information Analyzer. The latest version also supports managing data rules and creating quality rules etc.

Career Highlights for Tim Valihora Include:

Technical Architecture, IIS installations, post-install-configuration, SDLC mentoring, ETL programming, performance-tuning, client-side training (including administrators, developers or business analysis) on all of the over 15 out-of-the-box IBM IIS (InfoSphere Information Server) products

Over 160 Successful IBM IIS installs - Including the GRID Tool-Kit for DataStage (GTK), MPP, SMP, Multiple-Engines, Clustered Xmeta, Clustered WAS, Active-Passive (Server) "Mirroring" and Oracle Real Application Clustered (RAC) “IADB” or “Xmeta” configurations

Extensive experience with creating realistic and achievable Disaster-Recovery (DR) for IBM IIS installations + Collibra Data Quality clusters

IBM MicroServices (MS) (built upon Red Hat Open-Shift (RHOS) and Kubernetes Technology) installations and administration including Information Governance Catalog (IGC) “New”, Information Analyzer (IA) “thin”, Watson Knowledge Catalog (WKC) and Enterprise Search (ES) – on IBM Cloud PAK for Data (CP4D) platforms or IIS v11.7.1.4 “on-prem”

Over 8000 DataStage and QualityStage ETL Jobs Coded

Address Certification (WAVES, CASS, SERP, Address Doctor, Experian QAS)

Real-Time coding and mentoring via IBM IIS Information Services Director (ISD)

IIS IGC Rest-API coding (including custom audit coding for what has changed within IGC recently…or training on the IGC rest-explorer API)

IGC “Classic” and IGC “New” – Data Lineage via Extension Mapping Documents or XML “Flow-Docs”

IBM Business Process Manager (BPM) for Custom Workflows (including Data Quality rules + IGC Glossary Publishing etc.)

Information Analyzer (IA) Data Rules (via IA or QualityStage – in batch or real-time)

IBM IIS Stewardship Center installation and Configuration (BPM)

Data Quality Exception Console (DQEC) setup and configuration

IGC Glossary Publishing Remediation Workflows (BPM, Stewardship Center, Subscription Manager)

Tim Valihora has also logged over 2500 hours of consulting with respect to migrations from IBM IIS v11.7.x to IBM Cloud Pak for Data (CP4D) and specializes in upgrades within IIS various versions and from IIS to CP4D accordingly…

In terms of hobbies - Tim Valihora - When not in the office - enjoys playing guitar (namely Jackson, Signature, Paul Reed Smith and Takamine), drums, squash, tennis, golf and riding his KTM 1290 Super Adventure "R", BMW 1250 GS Adventure and Ducati MultiStrada V4S motorcycles. Mr. Valihora is also an avid fisherman and enjoys spending time with his English Golden Retriever (Lilli.)

[amrutam]

ETL Tools Market Size, Growth Factor, Key Players, Regional Demand, Trends and Forecast To 2027

ETL Tools Market Global Analysis to 2027 report offers an in-depth look at the market, including current trends and potential business possibilities. Market Dynamics, Scope, Segmentation, Competitive Analysis, Regional Breakdown, Advanced Learning, Opportunities, and Challenges are all covered in depth in this research report.

DOWNLOAD FREE SAMPLE REPORT@ https://bit.ly/3oiCBLm

ETL Tools Market: By Type

Cloud Deployment On-premise Deployment

ETL Tools Market: By Applications

Large Enterprises Small and Mid-sized Enterprises (SMEs)

ETL Tools Market: Key Players

Blendo Apache Nifi StreamSets Talend AWS Glue Hevo Data IBM InfoSphere DataStage Azure Data Factory Google Data flow Pentaho Informatica PowerCenter

COVID-19 has the potential to have three major effects on the global economy: directly impacting production and demand, causing supply chain and market disruption, and having a financial impact on businesses and financial markets. Our analysts, who are monitoring the situation throughout the world, believe that the market would provide producers with lucrative opportunities following the COVID-19 dilemma. The purpose of the report is to provide a more detailed representation of the current circumstances, the economic slowdown, and the influence of COVID-19 on the total industry.

Direct Buy This Report now@ https://bit.ly/3F69aCX

Some Points from TOC:

1 Market Overview

1.1 Product Definition and Market Characteristics

1.2 Global ETL Tools Market Size

1.3 Market Segmentation

1.4 Global Macroeconomic Analysis

1.5 SWOT Analysis

Market Dynamics

2.1 Market Drivers

2.2 Market Constraints and Challenges

2.3 Emerging Market Trends

2.4 Impact of COVID-19

2.4.1 Short-term Impact

2.4.2 Long-term Impact

3 Associated Industry Assessment

3.1 Supply Chain Analysis

3.2 Industry Active Participants

3.2.1 Suppliers of Raw Materials

3.2.2 Key Distributors/Retailers

3.3 Alternative Analysis

3.4 The Impact of Covid-19 From the Perspective of Industry Chain

4 Market Competitive Landscape

4.1 Industry Leading Players

4.2 Industry News

Read More

Contact Us: Credible Markets 99 Wall Street 2124 New York, NY 10005 Email- sales@credibleMarkets.com

[softwaretraining123]

DataStage Training in Hyderabad

Mastering Data Stage: Unlock Your Potential with RS Trainings in Hyderabad

Introduction: In the rapidly evolving world of data integration and analytics, professionals seek comprehensive training to stay ahead of the curve. RS Trainings, based in Hyderabad, stands as a beacon for individuals aspiring to master Data Stage, a powerful ETL (Extract, Transform, Load) tool widely used for managing and transforming data. Led by real-time experts, RS Trainings offers the best Data Stage training in Hyderabad, providing a unique blend of theoretical knowledge and hands-on experience.

Why Data Stage? IBM InfoSphere DataStage is a robust ETL tool that simplifies the process of extracting, transforming, and loading data from various sources to a target destination. It enables organizations to seamlessly integrate disparate data sources, fostering a more unified and accurate view of their information. As businesses continue to generate vast amounts of data, the demand for skilled Data Stage professionals is on the rise.

RS Trainings: Your Gateway to Expertise:

Industry-Experienced Trainers: RS Trainings prides itself on having a team of trainers who are seasoned professionals with extensive experience in the field. They bring real-world insights and practical knowledge to the training sessions, ensuring that students gain a deep understanding of Data Stage concepts.

Comprehensive Curriculum: The training program at RS Trainings covers the entire spectrum of Data Stage, from basic concepts to advanced techniques. Participants will learn about data extraction, transformation, and loading processes, as well as best practices for designing and managing Data Stage jobs.

Hands-On Projects: Learning by doing is a core philosophy at RS Trainings. Participants will engage in hands-on projects and real-world scenarios, applying their theoretical knowledge to solve practical challenges. This approach not only enhances understanding but also builds valuable skills that can be directly applied in professional settings.

Customized Learning Paths: RS Trainings recognizes that every learner has unique needs. The training program offers flexibility, allowing participants to choose specific modules based on their expertise level and career goals. This ensures a tailored learning experience that aligns with individual aspirations.

Placement Assistance: RS Trainings goes the extra mile by providing placement assistance to its participants. The training institute collaborates with industry partners to connect graduates with potential employers, increasing the chances of securing a rewarding position in the competitive job market.

Conclusion: Embark on a journey to master Data Stage with RS Trainings in Hyderabad. Gain unparalleled insights from industry experts, acquire hands-on experience, and position yourself as a sought-after Data Stage professional. Invest in your career growth and choose RS Trainings for the best Data Stage training in Hyderabad.

[amrutam]

ETL Tools Market Size, Growth Factor, Key Players, Regional Demand, Trends and Forecast To 2027

ETL Tools Market Global Analysis to 2027 report offers an in-depth look at the market, including current trends and potential business possibilities. Market Dynamics, Scope, Segmentation, Competitive Analysis, Regional Breakdown, Advanced Learning, Opportunities, and Challenges are all covered in depth in this research report.

DOWNLOAD FREE SAMPLE REPORT@ https://bit.ly/3oiCBLm

ETL Tools Market: By Type

Cloud Deployment On-premise Deployment

ETL Tools Market: By Applications

Large Enterprises Small and Mid-sized Enterprises (SMEs)

ETL Tools Market: Key Players

Blendo Apache Nifi StreamSets Talend AWS Glue Hevo Data IBM InfoSphere DataStage Azure Data Factory Google Data flow Pentaho Informatica PowerCenter

COVID-19 has the potential to have three major effects on the global economy: directly impacting production and demand, causing supply chain and market disruption, and having a financial impact on businesses and financial markets. Our analysts, who are monitoring the situation throughout the world, believe that the market would provide producers with lucrative opportunities following the COVID-19 dilemma. The purpose of the report is to provide a more detailed representation of the current circumstances, the economic slowdown, and the influence of COVID-19 on the total industry.

Direct Buy This Report now@ https://bit.ly/3F69aCX

Some Points from TOC:

1 Market Overview

1.1 Product Definition and Market Characteristics

1.2 Global ETL Tools Market Size

1.3 Market Segmentation

1.4 Global Macroeconomic Analysis

1.5 SWOT Analysis

Market Dynamics

2.1 Market Drivers

2.2 Market Constraints and Challenges

2.3 Emerging Market Trends

2.4 Impact of COVID-19

2.4.1 Short-term Impact

2.4.2 Long-term Impact

3 Associated Industry Assessment

3.1 Supply Chain Analysis

3.2 Industry Active Participants

3.2.1 Suppliers of Raw Materials

3.2.2 Key Distributors/Retailers

3.3 Alternative Analysis

3.4 The Impact of Covid-19 From the Perspective of Industry Chain

4 Market Competitive Landscape

4.1 Industry Leading Players

4.2 Industry News

Read More

Contact Us: Credible Markets 99 Wall Street 2124 New York, NY 10005 Email- sales@credibleMarkets.com

[timothyvalihora]

Data Governance Programs - How to Get Started

Timothy Valihora is a technical architect, an IBM Information Server (IIS) expert, and the president of TVMG Consulting, Inc. An alumnus of Carleton University, Timothy Valihora is experienced in IIS-related installations, upgrades, patches, and fix packs. He is also experienced in data governance, having worked on numerous data governance projects. Data governance refers to the management of the availability, usability, integrity and security of the data in an enterprise system. Ideally, a data governance program should begin with the executives of an establishment accepting and understanding their key roles. Given the long-term complexity of a data governance program, an organization should develop routines on a small scale with the full involvement of staff members. This strategy may also extend to an executive team appointing a sole lead administrator to foster prompt decisions. Executives should proceed by formulating a data governance framework. This framework stems from the significance of data to an establishment. There is no defined number of administrative levels that an establishment should adopt in this regard. However, data owners and data specialists are indispensable. A data governance program is incomplete without sufficient controls, thresholds, and indices. These are instructive in what data types an organization uses and processes. Given the inevitability of glitches, executives should also develop reporting tools to diagnose and resolve concerns as they arise. Tim Valihora is an expert in ensuring - that "PII" (Personally Identifiable Information) is utilized in a secure fashion. Data Masking and Data Encryption are among the key technologies and approaches that Mr. Valihora has utilized while providing end-to-end Data Governance solutions to over 100 large-scale corporations in Canada, the USA, Asia-Pacific and throughout Europe. Tim Valihora is a US based (Vero Beach, FL) Data Governance specialist within the IBM InfoSphere Information Server (IIS) software suite and is also an expert with respect to Collibra Data Governance Center and Collibra Data Quality (formerly OWL Data Quality.)

Career Highlights for Tim Valihora Include: • Technical Architecture, IIS installations, post-install-configuration, SDLC mentoring, ETL programming, performance-tuning, client-side training (including administrators, developers or business analysis) on all of the over 15 out-of-the-box IBM IIS (InfoSphere Information Server) products • Over 160 Successful IBM IIS installs - Including the GRID Tool-Kit for DataStage (GTK), MPP, SMP, Multiple-Engines, Clustered Xmeta, Clustered WAS, Active-Passive (Server) "Mirroring" and Oracle Real Application Clustered (RAC) “IADB” or “Xmeta” configurations • Extensive experience with creating realistic and achievable Disaster-Recovery (DR) for IBM IIS installations + Collibra Data Quality clusters • IBM MicroServices (MS) (built upon Red Hat Open-Shift (RHOS) and Kubernetes Technology) installations and administration including Information Governance Catalog (IGC) “New”, Information Analyzer (IA) “thin”, Watson Knowledge Catalog (WKC) and Enterprise Search (ES) – on IBM Cloud PAK for Data (CP4D) platforms or IIS v11.7.1.4 “on-prem” • Over 8000 DataStage and QualityStage ETL Jobs Coded • Address Certification (WAVES, CASS, SERP, Address Doctor, Experian QAS) • Real-Time coding and mentoring via IBM IIS Information Services Director (ISD) • IIS IGC Rest-API coding (including custom audit coding for what has changed within IGC recently…or training on the IGC rest-explorer API) • IGC “Classic” and IGC “New” – Data Lineage via Extension Mapping Documents or XML “Flow-Docs” • IBM Business Process Manager (BPM) for Custom Workflows (including Data Quality rules + IGC Glossary Publishing etc.) • Information Analyzer (IA) Data Rules (via IA or QualityStage – in batch or real-time) • IBM IIS Stewardship Center installation and Configuration (BPM) • Data Quality Exception Console (DQEC) setup and configuration • IGC Glossary Publishing Remediation Workflows (BPM, Stewardship Center, Subscription Manager)

In terms of hobbies - Tim Valihora - when not in the office - enjoys playing guitar (namely Jackson, Signature and Takamine), drums, squash, tennis, golf and riding his KTM 1290 Super Adventure "R", BMW 1250 GS Adventure and Ducati MultiStrada V4S motorcycles.

[padmah2k121]

Informatica Training from H2kinfosys

ABOUT H2K INFOSYS INFORMATICA TRAINING COURSE

Informatica provides the market’s leading data integration platform. H2K Infosys provide the best Informatica training, based on current industry standards that helps attendees to secure placements in their dream job. H2K Infosys is a well-equipped training center, where you can learn the skills like Overview of the Informatica Architecture, Tools and their roles, PowerCenter, Introduction to designer, Importing from database, Active and Passive Transformation Training on real time projects along with placement assistance.

H2K Infosys Informatica Training approach is different. We have designed our Informatica Training as per latest industry trends and keeping in mind the advanced Informatica course content. There is good scope for Informatica. You can start learning informatica by enrolling for our Informatica online training courses.

WHY H2K INFOSYS INFORMATICA TRAINING?

·         Provide you best assistance with highly skilled professional.

·         In depth understanding of Data Warehouse systems, ETL and SQL are provided to start with.

·         Online and live classes both can be provided.

·         All the concepts are explained with the help of real time examples.

·         Our syllabus and Assignments both are designed in such a way that it will help you to implement it practically.

·         Interview Questions are discussed and job-targeted coaching is provided.

·         Resume and job search assistance is provided.

·         Each mentor can help you to get into the interview.

JOB PROSPECTS

Informatica is a great tool to start your career with and down the line you can advance at a much better pace in your career.

Informatica is     absolutely a good career option for Software Developer. No     programming knowledge is necessary to work in this tool.

Informatica will help     you to process data from anywhere to everywhere.

As Informatica offers     ETL, for an ETL developer it will open the gates to the world of big data.     ETL/Data warehouse knowledge will be given preference.

Good career as an     Analytics Professionals

The job prospects for Informatica consultant is excellent. To grow more in this related area in-depth knowledge of Informatica and data warehousing technologies is essential and any knowledge of Ab Initio, DataStage, Data Junction, Oracle Warehouse Builder or SQL Loader would be useful. To get a good start in this field you need to get best Informatica Training where you can work in a real-time project.

Gain skills, prove your knowledge, and advance your career.

Call us today and register for our free demo session!

www.h2kinfosys.com | training@h2kinfosys.com |USA +1(770)777-1269

[siva3155]

300+ TOP Oracle ETL Interview Questions and Answers

Oracle ETL Interview Questions for freshers experienced :-

1. What are the various tools? Name a few? A few more Cognos Decision Stream Oracle Warehouse Builder Business Objects XI (Extreme Insight) SAP Business Warehouse SAS Enterprise ETL Server Along with the above, need to include the below tools --Informatica --Abintio --DataStage 2. What are snapshots? What are materialized views & where do we use them? What is a materialized view? Materialized view is a view in wich data is also stored in some temp table.i.e if we will go with the View concept in DB in that we only store query and once we call View it extract data from DB.But In materialized View data is stored in some temp tables. 3. What is fact less fact table? where you have used it in your project? Fact less table means only the key available in the Fact there is no measures available. factless fact table means that contains only foreign keys with out any measures example:attendance report of employees in a particular company contains no measures only 4. Can we look-up a table from source qualifier transformation. ie. unconnected lookup? You cannot lookup from a source qualifier directly. However, you can override the SQL in the source qualifier to join with the lookup table to perform the lookup. 5. Where do we use connected and un connected lookups? If return port only one then we can go for unconnected. More than one return port is not possible with Unconnected. If more than one return port then go for Connected. If you require dynamic cache i.e where your data will change dynamically then you can go for connceted lookup.If your data is static where your data won't change when the session loads you can go for unconnected lookups 6. Where do we use semi and non additive facts? Additve: A masure can participate arithmatic calulatons using all or any demensions. Ex: Sales profit Semi additive: A masure can participate arithmatic calulatons using some demensions. Ex: Sales amount Non Additve:A masure can't participate arithmatic calulatons using demensions. Ex: temparature 7. What are non-additive facts in detail? A fact may be measure, metric or a dollar value. Measure and metric are non additive facts. Dollar value is additive fact. If we want to find out the amount for a particular place for a particular period of time, we can add the dollar amounts and come up with the total amount. A non additive fact, for eg measure height(s) for 'citizens by geographical location' , when we rollup 'city' data to 'state' level data we should not add heights of the citizens rather we may want to use it to derive 'count' 8. What is a staging area? Do we need it? What is the purpose of a staging area? Data staging is actually a collection of processes used to prepare source system data for loading a data warehouse. Staging includes the following steps: Source data extraction, Data transformation (restructuring), Data transformation (data cleansing, value transformations), Surrogate key assignments 9. What is a three tier data warehouse? A data warehouse can be thought of as a three-tier system in which a middle system provides usable data in a secure way to end users. On either side of this middle system are the end users and the back-end data stores. 10. What are the various methods of getting incremental records or delta records from the source systems? One foolproof method is to maintain a field called 'Last Extraction Date' and then impose a condition in the code saying 'current_extraction_date > last_extraction_date'.

Oracle ETL Interview Questions 11. What are the various tools? - Name a few? A few are Abinitio DataStage Informatica Cognos Decision Stream Oracle Warehouse Builder Business Objects XI (Extreme Insight) SAP Business Warehouse SAS Enterprise ETL Server 12. What is latest version of Power Center / Power Mart? The Latest Version is 7.2 13. What is the difference between Power Center & Power Mart? Power Center - ability to organize repositiries into a data mart domain and share metadata across repositiries. Power Mart - only local repositiry can be created. 14. What are the various transformation available? Aggregator Transformation Expression Transformation Filter Transformation Joiner Transformation Lookup Transformation Normalizer Transformation Rank Transformation Router Transformation Sequence Generator Transformation Stored Procedure Transformation Sorter Transformation Update Strategy Transformation XML Source Qualifier Transformation Advanced External Procedure Transformation External Transformation 15. What is ODS (operation data source)? ODS - Operational Data Store. ODS Comes between staging area & Data Warehouse. The data is ODS will be at the low level of granularity. Once data was poopulated in ODS aggregated data will be loaded into into EDW through ODS. 16. What is the difference between etl tool and olap tools? ETL tool is ment for extraction data from the legecy systems and load into specified data base with some process of cleansing data. ex: Informatica,data stage ....etc OLAP is ment for Reporting purpose.in OLAP data avaliable in Mulitidimectional model. so that u can write smple query to extract data fro the data base. ex: Businee objects,Cognos....etc 17. What is the metadata extension? Informatica allows end users and partners to extend the metadata stored in the repository by associating information with individual objects in the repository. For example, when you create a mapping, you can store your contact information with the mapping. You associate information with repository metadata using metadata extensions. Informatica Client applications can contain the following types of metadata extensions: Vendor-defined. Third-party application vendors create vendor-defined metadata extensions. You can view and change the values of vendor-defined metadata extensions, but you cannot create, delete, or redefine them. User-defined. You create user-defined metadata extensions using PowerCenter/PowerMart. You can create, edit, delete, and view user-defined metadata extensions. You can also change the values of user-defined extensions. 18. What are the various test procedures used to check whether the data is loaded in the backend, performance of the mapping, and quality of the data loaded in INFORMATICA? The best procedure to take a help of debugger where we monitor each and every process of mappings and how data is loading based on conditions breaks. 19. I am new to SAS, can anybody explain the process of extracting data from source systems,storing in ODS and how data modelling is done? There are various ways of Extracting Data from Source Systems.For example , You can use a DATA step, an Import Process .It depends with your input data styles. What kind of File/database it is residing in. Storing ur data in an ODS can be done thru an ODS stmt/export stmt/FILE stmt, again which depends on the file & data format ,You want your output to be in. 20. Techniques of Error Handling - Ignore, Rejecting bad records to a flat file, loading the records and reviewing them (default values)? Rejection of records either at the database due to constraint key violation or the informatica server when writing data into target table.These rejected records we can find in the badfiles folder where a reject file will be created for a session.we can check why a record has been rejected.And this bad file contains first column a row indicator and second column a column indicator. These row indicators or of four types D-valid data, O-overflowed data, N-null data, T- Truncated data, And depending on these indicators we can changes to load data successfully to target. 21. What is Full load & Incremental or Refresh load? Full Load: completely erasing the contents of one or more tables and reloading with fresh data. Incremental Load: applying ongoing changes to one or more tables based on a predefined schedule. 22. How to determine what records to extract? When addressing a table some dimension key must reflect the need for a record to get extracted. Mostly it will be from time dimension (e.g. date >= 1st of current mth) or a transaction flag (e.g. Order Invoiced Stat). Foolproof would be adding an archive flag to record which gets reset when record changes. 23. Do we need an ETL tool? When do we go for the tools in the market? ETL Tool: It is used to Extract(E) data from multiple source systems(like RDBMS,Flat files,Mainframes,SAP,XML etc) transform(T) them based on Business requirements and Load(L) in target locations.(like tables,files etc). Need of ETL Tool: An ETL tool is typically required when data scattered accross different systems.(like RDBMS,Flat files,Mainframes,SAP,XML etc). 24. Can we use procedural logic inside Infromatica? If yes how, if now how can we use external procedural logic in informatica? Yes, you can use advanced external transformation. for more detail you can refer the manual of informatica transformation guide in that advance external transformation. You can use c++ language on unix and c++, vb vc++ on windows server. 25. Can we override a native sql query within Informatica? Where do we do it? How do we do it? Yes,we can override a native sql query in source qualifier and lookup transformation. In lookup transformation we can find "Sql override" in lookup properties.by using this option we can do this. 26. What are parameter files? Where do we use them? Parameter file defines the value for parameter and variable used in a workflow, worklet or session. 27. How can we use mapping variables in Informatica? Where do we use them? Yes. we can use mapping variable in Informatica. The Informatica server saves the value of mapping variable to the repository at the end of session run and uses that value next time we run the session. 28. What is a mapping, session, worklet, workflow, mapplet? A mapping represents dataflow from sources to targets. A mapplet creates or configures a set of transformations. A workflow is a set of instruction sthat tell the Informatica server how to execute the tasks. A worklet is an object that represents a set of tasks. A session is a set of instructions that describe how and when to move data from sources to targets. 29. What is Informatica Metadata and where is it stored? Informatica Metadata is data about data which stores in Informatica repositories. 30. How do we call shell scripts from informatica? Specify the Full path of the Shell script the "Post session properties of session/workflow". 31. Can Informatica load heterogeneous targets from heterogeneous sources? yes, you can use heterogenous source and target in single mapping. But to join data from heterogenous source you have to use joiner transformation. 32. What are the different Lookup methods used in Informatica? Connected lookup Unconnected lookup Connected lookup will receive input from the pipeline and sends output to the pipeline and can return any number of values.it does not contain retun port. Unconnected lookup can return only one column. it containn return port. 33. What are active transformation / Passive transformations? Active transformation can change the number of rows that pass through it. (decrease or increase rows) Passive transformation can not change the number of rows that pass through it. 34. What are the modules in Power Mart? PowerMart Designer Server Server Manager Repository Repository Manager 35. Compare ETL & Manual development? ETL - The process of extracting data from multiple sources.(ex. flat files,XML, COBOL, SAP etc) is more simpler with the help of tools. Manual - Loading the data other than flat files and oracle table need more effort. ETL - High and clear visibilty of logic. Manual - complex and not so user friendly visibilty of logic. ETL - Contains Meta data and changes can be done easily. Manual - No Meta data concept and changes needs more effort. ETL- Error hadling,log summary and load progess makes life easier for developer and maintainer. Manual - need maximum effort from maintainance point of view. ETL - Can handle Historic data very well. Manual - as data grows the processing time degrads. These are some differences b/w manual and ETL developement. 36. When do we Analyze the tables? How do we do it? The ANALYZE statement allows you to validate and compute statistics for an index, table, or cluster. These statistics are used by the cost-based optimizer when it calculates the most efficient plan for retrieval. In addition to its role in statement optimization, ANALYZE also helps in validating object structures and in managing space in your system. You can choose the following operations: COMPUTER, ESTIMATE, and DELETE. Early version of Oracle7 produced unpredicatable results when the ESTIMATE operation was used. It is best to compute your statistics. EX: select OWNER, sum(decode(nvl(NUM_ROWS,9999), 9999,0,1)) analyzed, sum(decode(nvl(NUM_ROWS,9999), 9999,1,0)) not_analyzed, count(TABLE_NAME) total from dba_tables where OWNER not in ('SYS', 'SYSTEM') group by OWNER 37. What is partitioning? What are the types of partitioning? If you use PowerCenter, you can increase the number of partitions in a pipeline to improve session performance. Increasing the number of partitions allows the Informatica Server to create multiple connections to sources and process partitions of source data concurrently. When you create a session, the Workflow Manager validates each pipeline in the mapping for partitioning. You can specify multiple partitions in a pipeline if the Informatica Server can maintain data consistency when it processes the partitioned data. When you configure the partitioning information for a pipeline, you must specify a partition type at each partition point in the pipeline. The partition type determines how the Informatica Server redistributes data across partition points. The Workflow Manager allows you to specify the following partition types: Round-robin partitioning. The Informatica Server distributes data evenly among all partitions. Use round-robin partitioning where you want each partition to process approximately the same number of rows. For more information, see Round-Robin Partitioning. Hash partitioning. The Informatica Server applies a hash function to a partition key to group data among partitions. If you select hash auto-keys, the Informatica Server uses all grouped or sorted ports as the partition key. If you select hash user keys, you specify a number of ports to form the partition key. Use hash partitioning where you want to ensure that the Informatica Server processes groups of rows with the same partition key in the same partition. For more information, see Hash Partitioning. Key range partitioning. You specify one or more ports to form a compound partition key. The Informatica Server passes data to each partition depending on the ranges you specify for each port. Use key range partitioning where the sources or targets in the pipeline are partitioned by key range. For more information, see Key Range Partitioning. Pass-through partitioning. The Informatica Server passes all rows at one partition point to the next partition point without redistributing them. Choose pass-through partitioning where you want to create an additional pipeline stage to improve performance, but do not want to change the distribution of data across partitions. 38. What are snapshots? What are materialized views & where do we use them? What is a materialized view log? Snapshots are read-only copies of a master table located on a remote node which is periodically refreshed to reflect changes made to the master table. Snapshots are mirror or replicas of tables. Views are built using the columns from one or more tables. The Single Table View can be updated but the view with multi table cannot be updated. A View can be updated/deleted/inserted if it has only one base table if the view is based on columns from one or more tables then insert, update and delete is not possible. Materialized view A pre-computed table comprising aggregated or joined data from fact and possibly dimension tables. Also known as a summary or aggregate table. 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