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Intelligent and automated data warehouse modernization to Amazon Aurora
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Modernizing Your ETL for New Opportunities
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Future-proof your data estate: Transform Informatica ETL workloads to the cloud
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Intelligent and automated Alteryx ETL modernization to AWS Glue
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Modernizing Data Science and Analytics in the Cloud While Minimizing Business Disruptions
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Augment data lake performance: Modernize to Databricks Lakehouse
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Automated Data and Analytics Workload Modernization
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Pragmatic cloud migration for BFSI enterprises
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Databricks partner session – Intelligent, automated modernization of your legacy data warehouse, ETL, Hadoop, and analytics platform
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Map your migration: Modernize legacy data architecture on Databricks Lakehouse
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Map your migration: Modernize legacy data architecture on GCP
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Map your migration: Modernize legacy data architecture on Azure
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Free self-service assessment: ETL to AWS Glue
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Free self-service assessment: Hadoop to Amazon EMR
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Free self-service assessment & transformation to Amazon Redshift
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Free self-service assessment & transformation to Databricks Lakehouse
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Automated data platform and workloads modernization to native cloud stack
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Data platform and workloads modernization to AWS
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ETL Modernization to AWS Glue
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Hadoop to Amazon EMR transformation
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Data warehouse modernization to Amazon Redshift
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Data platform and workloads modernization to the Databricks Lakehouse
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Data platform and workloads modernization to Azure
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Data platform and workloads modernization to GCP
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Webinar
Modernizing Your ETL for New Opportunities
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Modernizing Data Science and Analytics in the Cloud While Minimizing Business Disruptions
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Automated Data and Analytics Workload Modernization
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Databricks partner session – Intelligent, automated modernization of your legacy data warehouse, ETL, Hadoop, and analytics platform
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AWS partner session: Auto-migrate Hadoop to Amazon EMR
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AWS partner session (ANZ) - Accelerated ETL modernization to AWS Glue
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AWS partner session - Accelerated ETL modernization to AWS Glue
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Modernize your Hadoop ecosystem: Strategies and recommendations for the cloud
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Accelerate your data estate modernization journey
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Featuring WANdisco: Simplify big data migration and workload transformation to the cloud
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Operationalize migrated cloud-native ETL and analytics
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Optimizing massive workloads to meet business SLAs on modern data platforms
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Modern cloud-based ETL – Trends, use cases, and solutions
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A leading bank's analytics transformation journey to the cloud
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The fastest way to convert ETL, analytics, and data warehouse to AWS
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Automated EDW assessment and actionable recommendations for moving analytics to the cloud
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Automate EDW transformation to Snowflake and leverage existing investments
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Data warehouse migration dilemma: Migrating as-is or total re-engineering
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White Paper
Future-proof your data estate: Transform Informatica ETL workloads to the cloud
White Paper
Augment data lake performance: Modernize to Databricks Lakehouse
White Paper
Pragmatic cloud migration for BFSI enterprises
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Map your migration: Modernize legacy data architecture on Databricks Lakehouse
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Map your migration: Modernize legacy data architecture on GCP
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Map your migration: Modernize legacy data architecture on Azure
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AWS-native transformation for ETL, analytics, Hadoop, and data warehouse
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Map your migration: Modernize legacy data architecture on AWS
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Cloud-native transformation for ETL, analytics, and data warehouse
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Transform Ab Initio ETL workloads to the cloud or Spark
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Address key challenges and move your enterprise workloads to Snowflake
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Hadoop modernization to Snowflake enabled a single source of truth
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Accelerated Teradata transformation to a modern data platform
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30% performance improvement by converting Netezza and Informatica to Azure-Databricks stack
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Automated migration from Netezza to AWS for a Fortune 500 mortgage lender
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20% SLA improvement by modernizing Teradata workloads
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Cable television giant accelerates and de-risks workload transformation using automation
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A bank’s analytics transformation journey - Automated assessment and transformation of Informatica workflows and Oracle EDW to AWS
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A Fortune 500 bank migrated 3.4 billion records and 7000 Vertica DDLs in 3 months
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Data platform migration and modernization on AWS significantly reduces passenger wait time for United Airlines
Solution Brief
Intelligent and automated data warehouse modernization to Amazon Aurora
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Intelligent and automated Alteryx ETL modernization to AWS Glue
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Free self-service assessment: ETL to AWS Glue
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Free self-service assessment: Hadoop to Amazon EMR
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Free self-service assessment & transformation to Amazon Redshift
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Free self-service assessment & transformation to Databricks Lakehouse
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Automated data platform and workloads modernization to native cloud stack
Solution Brief
Data platform and workloads modernization to AWS
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ETL Modernization to AWS Glue
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Hadoop to Amazon EMR transformation
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Data warehouse modernization to Amazon Redshift
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Data platform and workloads modernization to the Databricks Lakehouse
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Data platform and workloads modernization to Azure
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Data platform and workloads modernization to GCP
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Data platform and workloads modernization to Snowflake
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DataStage ETL migration to PySpark or cloud-native stack
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SAS analytic workloads migration to Spark or cloud-native stack
Blog
03/22/2023
7 best practices to modernize data architecture on Databricks with LeapLogic
A lakehouse is a new-age, open architecture that brings together the best components of data lakes and data warehouses,
Blog
03/22/2023
3 reasons why lineage should be an integral part of your modernization journey to Databricks
To implement trust-based governance, enterprises should acknowledge the different lineage and curation of assets. – Gartner
Blog
04/13/2022
Ab Initio vs AWS Glue: Understanding the Difference
ETL (Extract, Transform, Load) allows enterprises to extract data from its original source, cleanse and prepare it..
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03/15/2022
An exclusive Q&A with NCR Corporation on data platform modernization
How automation empowers enterprises to overcome the challenges of manual migration and unlock business value faster
Blog
03/11/2022
Validating data workloads post migration: 8 critical challenges and solutions
Legacy data warehouse, ETL, and analytics systems migration typically include DML scripts and queries, procedures, ETL scripts, orchestration scripts, jobs, etc.
Blog
03/07/2022
Tackling the top 5 business risks of data landscape modernization
According to Gartner1, more than 70% of companies have now migrated at least some workloads into the public cloud.
Blog
02/15/2021
Simplify big data migration and workload transformation to the cloud
Impetus Technologies has partnered with WANdisco to ensure seamless migration, optimization, and operationalization of your workloads and analytics from Hadoop to..
Blog
03/03/2020
Top 10 Lessons Learned: Analytics Transformation to the Cloud
According to the Cisco Global Cloud Index, 94 percent of compute instances and workloads will be processed in the cloud data centers by 2021. Enterprises are eager to take...
Blog
09/03/2019
Five Azure Cloud Migration Challenges That Can Catch You Off Guard
Legacy data warehouses are choking under the weight of new unstructured and fast data sources, and..
Blog
08/08/2019
Is hybrid cloud the future of data warehouse modernization?
The need for digital transformation is compelling enterprises to move from traditional data warehouses to the cloud. Gartner estimates that the worldwide public cloud services...
Blog
03/15/2019
11 points to consider for a solid EDW transformation strategy
Making the move from EDW to the cloud can be daunting. A thorough understanding of requirements, possible scenarios, and processes is crucial to ensure a smooth transition....
Blog
10/31/2018
Migrating Workloads from Netezza to on-premise/cloud : An Automated Approach
Manual migration can be complicated. Niche technologies, human error, lengthy assessment phases, testing, validation, execution, and the migration itself
Blog
10/15/2018
Five Things to Consider Before Performing a Workload Migration
Legacy data warehouse transformation is complicated and risky. A successful migration requires a detailed evaluation on multiple parameters – including queries, tables, sub-...