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30 comprehensive list of tools category in DataOps

  1. Data Integration tools: Apache Nifi, Talend, Informatica, IBM InfoSphere DataStage, Microsoft SQL Server Integration Services (SSIS), AWS Glue.
  2. Data Management tools: Apache Hadoop, Apache Spark, Apache Kafka, Cloudera, Hortonworks, MapR.
  3. Data Warehousing tools: Amazon Redshift, Snowflake, Microsoft Azure SQL Data Warehouse, Google BigQuery, Oracle Autonomous Data Warehouse.
  4. Data Virtualization tools: Denodo, TIBCO Data Virtualization, Delphix, Informatica, Red Hat JBoss Data Virtualization.
  5. ETL (Extract, Transform, Load) tools: Apache Nifi, Talend, Informatica, IBM InfoSphere DataStage, Microsoft SQL Server Integration Services (SSIS), AWS Glue.
  6. Data Pipeline tools: AWS Data Pipeline, Apache Airflow, Confluent, Talend Pipeline Designer, StreamSets Data Collector.
  7. Data Catalog tools: Collibra, Alation, IBM Watson Knowledge Catalog, Informatica Enterprise Data Catalog, AWS Glue Data Catalog.
  8. Data Quality tools: Talend Data Quality, Informatica Data Quality, Trifacta, IBM InfoSphere Information Analyzer, Talend Data Preparation.
  9. Data Governance tools: Collibra, Informatica Axon, IBM InfoSphere Information Governance Catalog, Talend Data Fabric, Alation.
  10. Data Privacy tools: BigID, Collibra, Informatica Privacy Management, Talend Data Fabric, IBM Data Privacy Passports.
  11. Master Data Management (MDM) tools: Informatica MDM, Talend MDM, IBM InfoSphere MDM, SAP Master Data Governance.
  12. Data Security tools: IBM Guardium, Informatica Secure@Source, Talend Data Fabric, BigID, AWS Macie.
  13. Data Lineage tools: Informatica Enterprise Data Catalog, IBM InfoSphere Information Governance Catalog, Talend Data Fabric, Alation.
  14. Data Archiving tools: Iron Mountain, Hitachi Vantara, Commvault, Rubrik, Dell EMC.
  15. Data Masking tools: Informatica Persistent Data Masking, IBM InfoSphere Optim Data Privacy, Delphix Dynamic Data Platform.
  16. Data Analytics tools: Apache Hadoop, Apache Spark, Google Cloud Dataflow, Microsoft Azure Stream Analytics, AWS EMR.
  17. Business Intelligence (BI) tools: Tableau, Microsoft Power BI, QlikView, SAP BusinessObjects, MicroStrategy.
  18. Data Visualization tools: Tableau, Microsoft Power BI, QlikView, SAP Lumira, TIBCO Spotfire.
  19. Machine Learning (ML) tools: TensorFlow, scikit-learn, Keras, PyTorch, Apache MXNet.
  20. Natural Language Processing (NLP) tools: NLTK, Spacy, Stanford CoreNLP, Google Cloud Natural Language API, Amazon Comprehend.
  21. Data Exploration tools: Apache Zeppelin, Jupyter Notebook, Microsoft Azure Notebooks, Databricks, IBM Watson Studio.
  22. Data Science Collaboration tools: Kaggle, Databricks, Dataiku, Domino Data Lab, H2O.ai.
  23. Data Governance Automation tools: Collibra, Informatica Axon, Talend Data Fabric, Alation.
  24. Data Engineering tools: Apache Beam, Apache Flink, Apache NiFi, Apache Kafka, AWS Glue.
  25. Data Transformation tools: Talend, Apache Nifi, Informatica PowerCenter, IBM InfoSphere DataStage, Microsoft SSIS.
  26. Data Storage tools: Amazon S3, Azure Blob Storage, Google Cloud Storage, IBM Cloud Object Storage, Dell EMC Isilon.
  27. Data Versioning tools: DVC, Git LFS, Apache Sub

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I'm Rajesh Kumar, a DevOps, SRE, DevSecOps, Cloud, and Platform Engineering expert passionate about sharing practical knowledge, real-world experiences, and industry best practices. I have worked at Cotocus and regularly write about technology, travel, investing, health, product reviews, and digital marketing through my various platforms. I publish technical articles at DevOps School, travel stories at Holiday Landmark, stock market insights at Stocks Mantra, health and fitness guidance at My Medic Plus, product reviews at TrueReviewNow, and SEO and digital marketing strategies at Wizbrand.

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