Webinar
Automated EDW assessment and actionable recommendations for moving analytics to the cloud
Assessing analytical workloads is the first step towards successful cloud migration. However, an assessment typically provides a non-actionable list of inventories.
Case Study
Operationalized an AWS-based next-gen fault detection platform for an IoT solutions provider
A cost-effective, highly available, and fault-tolerant data analytics solution for smart manufacturing
Webinar
A leading bank's analytics transformation journey to the cloud
Embracing the right approach and best practices for a seamless transition
Webinar
Simplify Spark-based ETL workflows on the cloud
Learn how you can visually design and manage Spark-based workflows by using StreamAnalytix on popular cloud platforms like AWS, Azure, and Databricks.
E-Book
10 key considerations to build a sustainable and robust data lake on the cloud
In today’s dynamic business landscape, enterprises are increasingly looking to create cloud-based data lakes in order to realize greater speed, scalability, agility, and other...
Data Sheet
Rearchitect your legacy workloads to AWS
As a modern cloud platform, AWS empowers enterprises with improved scalability, greater elasticity, and reduced costs. However, the journey of modernization can be time-consuming...
Case Study
Single source of truth from 500+ data feeds - Fortune 500 firm implemented an enterprise data lake on cloud (AWS)
A scalable, one-click data ingestion solution for data pipelines and use cases with built-in robust security, governance, and metadata management
Case Study
A bank’s analytics transformation journey - Automated assessment and transformation of Informatica workflows and Oracle EDW to AWS
A Top 100 American bank used Impetus’ Workload Transformation accelerator for intelligent automation of migration assessment and auto-converting ~80% of their Informatica and...
Case Study
A large US bank accelerates the implementation of a hybrid cloud-based data lake architecture
A U.S.-based Fortune 500 bank wanted to offload their Teradata-based Marketing Campaign Process (MCP) to Hadoop. Impetus designed a hybrid big data-based cloud solution for the...
White Paper
Transforming Ab Initio ETL workloads to Spark or Cloud
Leading companies across sectors from telecommunications, insurance, and finance to healthcare, retail, e-commerce, and others have been using Ab Initio to solve the most complex...
Webinar
Building a mature foundation for life in the cloud
While enterprises are increasingly adopting a cloud strategy, a successful cloud journey requires a mature foundation built through a well-architected, phased, and incremental...
Case Study
How a telecom giant fast-tracked their data lake implementation
Modern machine learning implementation on the data lake led to 6% increase in customer acquisition
Webinar
EDW Migration Dilemma - Migrating As-Is or Total Re-engineering
Enterprises moving their legacy workloads to on-premise/cloud modern data platforms have been facing the dilemma of deciding between migrating as-is and total re-engineering....
White Paper
EDW to Snowflake cloud data warehouse transformation: An automated approach
Traditional data warehouses are constrained by performance, scalability, and elasticity issues. Enterprises are increasingly moving to the next-generation cloud data warehouses...
Webinar
Best practices to build a sustainable data lake on cloud in 2020
Creating new data lakes or migrating existing ones on the cloud has been a de-facto trend. With reduced costs and agile infrastructure, it is easier to derive business value on...
Case Study
A centralized data lake on the cloud enabled a single source of truth with real-time integration of sources
A leader in digital solutions for enhancing customer journeys implemented a data lake on AWS resulting in 60% infrastructure cost reduction and improved application performance by...
Data Sheet
Transform Your Legacy Workloads to Azure.
Are you looking to transform your ETL workloads from legacy data warehouses to the cloud?
What if you could do it through an automated approach, with a 75% reduction in time-to-...
Webinar
Instantly Convert Teradata ETL and EDW to Spark – On Cloud or On-premise
Teradata has been a popular choice for analytical data processing. As data complexity increases, more and more enterprises need the flexibility and scalability advantages of ‘...
Case Study
Automated Netezza to Cloud Transformation
A government-sponsored enterprise in the mortgage business needed to move to a modern data lake-based architecture. Impetus helped them transition away from Netezza and to the...
White Paper
Automated Workload Transformation to Cloud: The Future-proof Approach
Enterprises have been dependent on traditional data warehouses to ingest, model, and store data for ages. In a typical IT environment, conventional data warehouses would extract,...
Blog
StreamAnalytix Releases Version 1.2
We’re happy to announce the release of StreamAnalytix 1.2!
In this release, we have taken a big leap towards developer enablement with the vision to minimize custom-coding....
Blog
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
Modernize your ETL processes with StreamAnalytix
Businesses are struggling with huge volumes of data to solve complex business problems while relying on their legacy data platform infrastructure. However, traditional ETL tools...
Blog
5 building blocks of security and governance on AWS Cloud
Through 2025, 99% of cloud security failures will be the customer’s fault. - Gartner
Successful cloud migration involves understanding the responsibilities shared between an...
Webinar
Automated EDW assessment and actionable recommendations for moving analytics to the cloud
Assessing analytical workloads is the first step towards successful cloud migration. However, an assessment typically provides a non-actionable list of inventories.
Webinar
A leading bank's analytics transformation journey to the cloud
Embracing the right approach and best practices for a seamless transition
Webinar
Simplify Spark-based ETL workflows on the cloud
Learn how you can visually design and manage Spark-based workflows by using StreamAnalytix on popular cloud platforms like AWS, Azure, and Databricks.
Webinar
Building a mature foundation for life in the cloud
While enterprises are increasingly adopting a cloud strategy, a successful cloud journey requires a mature foundation built through a well-architected, phased, and incremental...
Webinar
EDW Migration Dilemma - Migrating As-Is or Total Re-engineering
Enterprises moving their legacy workloads to on-premise/cloud modern data platforms have been facing the dilemma of deciding between migrating as-is and total re-engineering....
Webinar
Best practices to build a sustainable data lake on cloud in 2020
Creating new data lakes or migrating existing ones on the cloud has been a de-facto trend. With reduced costs and agile infrastructure, it is easier to derive business value on...
Webinar
Instantly Convert Teradata ETL and EDW to Spark – On Cloud or On-premise
Teradata has been a popular choice for analytical data processing. As data complexity increases, more and more enterprises need the flexibility and scalability advantages of ‘...
E-Book
10 key considerations to build a sustainable and robust data lake on the cloud
In today’s dynamic business landscape, enterprises are increasingly looking to create cloud-based data lakes in order to realize greater speed, scalability, agility, and other...
White Paper
Transforming Ab Initio ETL workloads to Spark or Cloud
Leading companies across sectors from telecommunications, insurance, and finance to healthcare, retail, e-commerce, and others have been using Ab Initio to solve the most complex...
White Paper
EDW to Snowflake cloud data warehouse transformation: An automated approach
Traditional data warehouses are constrained by performance, scalability, and elasticity issues. Enterprises are increasingly moving to the next-generation cloud data warehouses...
White Paper
Automated Workload Transformation to Cloud: The Future-proof Approach
Enterprises have been dependent on traditional data warehouses to ingest, model, and store data for ages. In a typical IT environment, conventional data warehouses would extract,...
Data Sheet
Rearchitect your legacy workloads to AWS
As a modern cloud platform, AWS empowers enterprises with improved scalability, greater elasticity, and reduced costs. However, the journey of modernization can be time-consuming...
Data Sheet
Transform Your Legacy Workloads to Azure.
Are you looking to transform your ETL workloads from legacy data warehouses to the cloud?
What if you could do it through an automated approach, with a 75% reduction in time-to-...
Case Study
Operationalized an AWS-based next-gen fault detection platform for an IoT solutions provider
A cost-effective, highly available, and fault-tolerant data analytics solution for smart manufacturing
Case Study
A bank’s analytics transformation journey - Automated assessment and transformation of Informatica workflows and Oracle EDW to AWS
A Top 100 American bank used Impetus’ Workload Transformation accelerator for intelligent automation of migration assessment and auto-converting ~80% of their Informatica and...
Case Study
Single source of truth from 500+ data feeds - Fortune 500 firm implemented an enterprise data lake on cloud (AWS)
A scalable, one-click data ingestion solution for data pipelines and use cases with built-in robust security, governance, and metadata management
Case Study
How a telecom giant fast-tracked their data lake implementation
Modern machine learning implementation on the data lake led to 6% increase in customer acquisition
Case Study
A centralized data lake on the cloud enabled a single source of truth with real-time integration of sources
A leader in digital solutions for enhancing customer journeys implemented a data lake on AWS resulting in 60% infrastructure cost reduction and improved application performance by...
Case Study
A large US bank accelerates the implementation of a hybrid cloud-based data lake architecture
A U.S.-based Fortune 500 bank wanted to offload their Teradata-based Marketing Campaign Process (MCP) to Hadoop. Impetus designed a hybrid big data-based cloud solution for the...
Case Study
Automated Netezza to Cloud Transformation
A government-sponsored enterprise in the mortgage business needed to move to a modern data lake-based architecture. Impetus helped them transition away from Netezza and to the...
Blog
04/01/2020
5 building blocks of security and governance on AWS Cloud
Through 2025, 99% of cloud security failures will be the customer’s fault. - Gartner
...
Blog
03/19/2020
Modernize your ETL processes with StreamAnalytix
Businesses are struggling with huge volumes of data to solve complex business problems while relying on their legacy data platform infrastructure. However, traditional ETL...
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
12/24/2015
StreamAnalytix Releases Version 1.2
We’re happy to announce the release of StreamAnalytix 1.2!
In this release, we have taken a big leap towards developer enablement with the vision to minimize custom-...
Oops.. no record found.