TALEND CONSULTING - Helical tech service (article)

1. TALEND CONSULTING – HELICAL IT SOLUTIONS Talend Consulting Expertise: Helical offers certified Talend consultants and developers. Talend is an open source ETL software for various data related operations like data cleaning, data integration, data management, data loading, etc. Talend comes in versions – free version (with limited features called Talend Open Studio or TOS) and enterprise version with all the features (called Talend Studio). Helical’s Talend consulting expertise encompasses all products of Talend mentioned earlier as well for other kinds of functionalities like Talend MDM, Talend Data preparation, Talend Data Stewardship, Talend ESB etc. At Helical we boast of more than 35+ enterprise-level implementations on top of Open Source DWBI technologies including Talend Jaspersoft Pentaho Kettle Big Data which includes small implementations to implementations for various Fortune 500 companies as well as Governments as well like CA Technologies, Tata Communication, Technip, Government of Marshall Island, Government of Micronesia, Government of Kiribati Islands etc. Helical IT can help you with complete implementation of your Talend solution right from Consultation, Architecture and Planning, Design, Development and Deployment, Optimization of data integration jobs, documentation training and handover, Implementation of High Availability to Load Balancing for business-critical applications. Talend supports Big Data and we have ample experience in big data technologies as well like Hadoop and its ecosystem, Mongo, Druid, Cassandra, Spark, etc., to help you with your data pipeline implementation. We follow the best practices while writing any ETL job, taking care of things like null handling, error handling and error logging, pre and post processing, nomenclature and documentation. Some of the implementations we have done using Talend includes services to organizations such as Tata Communication, Sage Human Capital, Envision Global Leadership, Enabled Concept, PracticeBuil and Pratesis to name a few. Reach out to us to see a full-fledged demo of our capabilities on top of Jaspersoft, get client references and testimonials, etc. Our Talend consulting and implementation includes: Helical provides end to end consulting and development on Talend which includes all the components (like Talend Open Studio, Talend Big Data, Talend MDM, Talend Administrator Console etc) etc at a very cost-effective rate. Talend ETL Development Talend MDM Development Talend QA Expertise Talend Big Data Talend Administration and TAC Expertise Implementing High Availability and Load Balancing on Talend ETL as well as Data Warehouse level Custom plugin development using coding on top of Talend etc.

2. DATA INTEGRATION USING TALEND: Helical’s expertise of Data Integration Jobs using Talend ETL In today’s world, any organization is using various data sources for different functions and generating a lot of data. The data generated could be from softwares, social media, APIs, flat files etc and all of them could be acting as data silos and not centralized. In order to build a BI or reporting solution, we need to make sure that we are having entire data in a single place with proper relations. Data integration is the process of fetching data from different data sources and unifying in a single format. BI software depends on accurate data integration to build dashboards, reports that reflect accurate consistent information. With the help of Talend, we can connect to these various kinds of data sources which could be relational DB, columnar DB, NoSQL DB, REST API, CSV, Flat files, XML, JSON etc. Data could be fetched from any of these data sources, converted and brought to a single format and then loaded into the data warehouse which can then be used for reporting and analytics purposes. Some of the most commonly used components for data integration using Talend are mentioned below To collect data from source: tFileInputDelimited, tFileInputXML, tMySqlInput etc To process data: tMap, tJoin, tXSLT etc To load data: tFileOutputDelimited, tFileOutputXML, tMySqlOutput etc To get response from RestFul Services: tRESTClient etc To get response from SOAP services: tESBConsumer etc To log the errors: tStatCatcher, tLogCatcher, tFlowMeter, tFlowMeterCatcher etc

3. Others : CDC components (like tMySqlCDC, tPostgresqlCDC etc), SCD components (like tMySqlSCD, tPostgresqlSCD etc), Bulk Load components (tPostgresqlBulkExec, tMySqkBulkExec etc) Please get in touch with us to learn about our Talend capabilities and how we could help in building your data pipeline using Talend. DATA MIGRATION USING TALEND: Helical’s expertise on Data Migration using Talend ETL Data migration means the process of transferring data from one source to another. The source and target could be relational DB, NoSQL DB, columnar DB, graph DB, etc. There are various cases when we need to migrate data. Some of the examples when such a need arises are Moving from a proprietary database like Oracle to an opensource DB like MySQL for reducing cost. Moving from relational DB to big data technologies since relational DB is unable to give optimal performance with increasing data size. Upgrading from a lower version of database to a higher version of database with more functionalities and capabilities Moving data from one product to another product. Example: You might be using one HR software and then might migrate to another one. Merging systems from two companies into one Above mentioned are some of the myriad use cases wherein Talend will be useful for loading data from the source database and migrating to the target database. While implementing data migration using Talend, extract and load is imperative. In between, if any data messaging or transformations are required, that can also be handled very easily within Talend. Some of the components of Talend generally used with data migration are – To collect data from source: tFileInputDelimited, tFileInputXML, tMySqlInput etc – To process data (optional): tMap, tJoin, tXSLT etc – To load data: tFileOutputDelimited, tFileOutputXML, tMySqlOutput etc – To get response from RestFul services: tRESTClient etc – To get response from SOAP services: tESBConsumer etc – To log errors: tStatCatcher, tLogCatcher, tFlowMeter, tFlowMeterCatcher etc Our team of Talend developers can help you with your data migration, data integration and other data messaging work. Get in touch now. DATA EXTRACTION, TRANFORMATION AND LOADING (ETL) USING TALEND: Helical’s expertise of Data Integration Jobs using Talend ETL

4. In today’s world, any organization is using various data sources for different functions and generating a lot of data. The data generated could be from softwares, social media, APIs, flat files etc and all of them could be acting as data silos and not centralized. In order to build a BI or reporting solution, we need to make sure that we are having entire data in a single place with proper relations. Data integration is the process of fetching data from different data sources and unifying in a single format. BI software depends on accurate data integration to build dashboards, reports that reflect accurate consistent information. With the help of Talend, we can connect to these various kinds of data sources which could be relational DB, columnar DB, NoSQL DB, REST API, CSV, Flat files, XML, JSON etc. Data could be fetched from any of these data sources, converted and brought to a single format and then loaded into the data warehouse which can then be used for reporting and analytics purposes. Some of the most commonly used components for data integration using Talend are mentioned below To collect data from source: tFileInputDelimited, tFileInputXML, tMySqlInput etc To process data: tMap, tJoin, tXSLT etc To load data: tFileOutputDelimited, tFileOutputXML, tMySqlOutput etc To get response from RestFul Services: tRESTClient etc To get response from SOAP services: tESBConsumer etc To log the errors: tStatCatcher, tLogCatcher, tFlowMeter, tFlowMeterCatcher etc Others: CDC components (like tMySqlCDC, tPostgresqlCDC etc), SCD components (like tMySqlSCD, tPostgresqlSCD etc), Bulk Load components (tPostgresqlBulkExec, tMySqkBulkExec etc) Please get in touch with us to learn about our Talend capabilities and how we could help in building your data pipeline using Talend. Helical’s expertise on Data Migration using Talend ETL Data migration means the process of transferring data from one source to another. The source and target could be relational DB, NoSQL DB, columnar DB, graph DB, etc. There are various cases when we need to migrate data. Some of the examples when such a need arises are Moving from a proprietary database like Oracle to an opensource DB like MySQL for reducing cost. Moving from relational DB to big data technologies since relational DB is unable to give optimal performance with increasing data size. Upgrading from a lower version of database to a higher version of database with more functionalities and capabilities Moving data from one product to another product. Example: You might be using one HR software and then might migrate to another one. Merging systems from two companies into one Above mentioned are some of the myriad use cases wherein Talend will be useful for loading data from the source database and migrating to the target database. While implementing data migration using Talend, extract and load is imperative. In between, if any data messaging or transformations are required, that can also be handled very easily within Talend. Some of the components of Talend generally used with data migration are

5. – To collect data from source: tFileInputDelimited, tFileInputXML, tMySqlInput etc – To process data (optional): tMap, tJoin, tXSLT etc – To load data: tFileOutputDelimited, tFileOutputXML, tMySqlOutput etc – To get response from RestFul services: tRESTClient etc – To get response from SOAP services: tESBConsumer etc – To log errors: tStatCatcher, tLogCatcher, tFlowMeter, tFlowMeterCatcher etc Our team of Talend developers can help you with your data migration, data integration and other data messaging work. Get in touch now. Helical’s expertise on ETL Jobs Development using Talend There are two techniques for creation of Data Warehouse. One is ETL (Extract, Transform and Load) and the other one is ELT (Extract, Load and Transform). Talend supports both the capabilities. Talend is having various inbuilt components which can be used for the above mentioned operations. Some of the examples of inbuilt components includes Initial load, Change Data Capture (CDC), data connectors, slowly changing dimensions, emailing, calculations, transformations etc. We have got extensive experience with implementing multiple end to end implementations which included a lot of the above mentioned tasks. There are client implementations wherein we have handled huge amount of data measuring more than 100GB with incremental data size of 2GB everyday with proper rollup and backup policies implemented. Aside, not only we have got hands-on experience on various inbuilt components, we are also having experience of building and integrating external components inside Talend which can then be reused again and again. Get in touch with us now to see some, in action, some of our Talend ETL implementations and how we can help you solve your data problem. DATA AUDITING FOR QUALITY ASSURANCE USING TALEND: Helical’s expertise on Talend Data Quality (DQ) Module It is important for the organizations to assess fitness and quality of their data because if the data is of a poor quality, or managed in structures that cannot be integrated to meet the needs of the enterprise, business processes and decision-making suffer. Talend’s data quality tool profiles, cleanses, and masks data, while monitoring data quality over time, in any format or size. Data de-duplication, validation, and standardization creates clean data for access, reporting, analytics, and operations. Enrich data with external sources for postal validation, business identification, credit score information, and more. Talend DQ simplifies clean up to turn data into value. Shape unstructured data with integrated parsing technology, protect sensitive data with masking, and customize a dictionary of business terms to auto-discover data. Apply data stewardship activities to create

6. trusted information and deliver reliable data to your most valuable data assets with confidence. Using Talend DQ, you can perform column analysis, table analysis, redundancy analysis, correlation analysis. Some of the common kind of checks are checking and handling null values, checking for data types, checking for data limits, checking for data formats etc. Our team of Talend experts can help you in writing any kind of Talend ETL jobs to take care of your data processing activity at an extremely cost effective rates. Get in touch now to learn more. MASTER DATA MANAGEMENT USING TALEND MDM: Master Data Management (MDM) is used to reduce and eliminate redundant and inconsistent version of the same data. Nowadays, organizations generate data from multiple systems and in huge amounts in a distributed manner. This could lead to overlapping, redundant and inconsistent data. For example, different software might refer to the same entity by different names like “vendors”, “suppliers”, etc., or by different IDs. Vendors, suppliers, clients, sales people, revenues etc., are some of the parameter which are captured by software without having master data to refer to and over a period of time, becomes inconsistent with each other and prone to error. Following are some benefits of Master Data Management – Lower total cost of operation – Lower architectural bloat through eliminated redundancies – Faster deliveries – Simplified Compliance – Improved customer service – 360 degree view Talend MDM could help in those cases in providing consistent data and provide data sharing across people, departments and tools. We can help you with Talend MDM implementation for your specific business use case along with ESB and Talend other components. Some of the commonly used components of Talend MDM includes tMDMBulkLoad, tMDMInput, tMDMOutput. Get in touch with us now to learn more about our ETL implementations and expertise on Talend. COUSTOM FRAMEWORK: HELICAL SCRUNCH: Helical’s code level Expertise on Talend for custom feature implementation With any ETL job development, there is a lot of repetitive work involved. Much time is spent on writing those repetitive jobs rather than implementing core business logic. Also, with many ETL developers working in parallel, often, there are issues of non-standard naming conventions and non-reusable ETL jobs.

7. Keeping these kinds of recurring issues in mind, we have developed an agile ETL development framework on top of Talend called Helical Scrunch which offers the below- mentioned benefits: • Pre-built modules which can be configured readily and used 1. Error handling 2. Null handling 3. Pre-processing 4. Post processing 5. Notifications 6. Mailing, etc. • Such pre-built modules allow good time savings (on an average from 30% to 70%). • Developers can, right from the first day, focus on creating ETL jobs which are responsible for implementing business logic. • Standardization in terms of nomenclature and documentation, thus, output quality is better and often the Talend ETL jobs are reusable • A web interface to help monitoring the progress along with various kinds of reporting Get in touch to have a demo of Helical Scrunch and how it can help in cost savings, quicker implementation as well as better deliverables. DATA STEWARDSHIP: Helical’s expertise on Talend Data Stewardship Module Data stewardship is about defining and maintaining data models, documenting the data, cleansing the data, and defining the rules and policies. It enables the implementation of well- defined data governance processes covering several activities including monitoring, reconciliation, refining, de-duplication, cleansing and aggregation to help deliver quality data to applications and end users. Organizations are mostly aware that the data they work with may be incomplete or is often incorrect; they can fix it as they know their data but this isn’t possible when working with huge amount of data. Also using email or excel to resolve data-related issues is not time or effort efficient. Here is a need for tools, processes and polices to effectively and sustainably manage data quality, and this is achieved using Data Stewardship. A good data stewardship will involve – Self service so that IT or any other users can also resolve data quality issues – Team collaboration including workflow and task orchestration – Manual interaction for cases like validation, tagging etc – Built in privacy

8. Talend provides a comprehensive tool called Talend Data Stewardship app, which you can use to configure and manage data assets, that addresses the quality challenges holding your data-driven projects back. With Talend Data Stewardship, you can quickly resolve the data quality and validation related issues by defining common data models, semantics, rules that needed to cleanse and validate the data. You can create the user roles, workflows, priorities and delegate the tasks to Data Stewards that knows the data best. You can also resolve any data integrity issues to achieve “trusted” data across the enterprise. Talend data stewardship allows data stewards to create and launch campaigns for improving data quality in their systems by importing data sets into the tool and distributing parts of it for correction to multiple users. In this process, faulty data set is assigned to users and users are requested to fill up or modify the faulty data. The corrected data sets can be merged easily. Get in touch with us for knowing more about Talend, its uses and how it can be used with your use-case in fulfilling your business objectives. TALEND BIG DATA: Helical’s expertise on Talend’s big data specific components and technologies The amount of data being generated in this world and the pace of data generation is already mindboggling. With a lot of unstructured data and NoSQL data also coming into the picture, many organizations are shifting to big data technologies compared with the traditional relational databases. These big data technologies have the capability to handle huge amount of data as well as unstructured data types. Talend big data consists of four parts mainly, i.e., – Big data integration: Useful for connecting to big data DB. – Big data manipulation: For performing various data functions and manipulations. – Big data quality and governance: Useful for identifying linkages, duplicates, validation, etc. – Big data project management: Has features like scheduling, monitoring, repository, etc. Talend Big data supports working with Spark, Hadoop, MapReduce, HDFS and a variety of NoSQL Databases. NoSQL Databases supported are: MongoDB, Cassandra, Hive, Impala, Couch DB, HBase. Some of the components: tHDFSGet, tHDFSPut, tMongoDBInput, tMongoDBOuput, tCassandraInput, tCassandraOutput Please get in touch with us to learn more about our big data implementation and experience using Talend ETL.