Webinar
The fastest way to convert ETL, analytics, and data warehouse to AWS
Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions.
Webinar
Accelerate your journey from data to decisions - A unified analytics platform for ETL, ML, and BI
Real-time insight-driven decision-making is a key enabler for enterprise digital transformation. But traditional ETL tools face multiple challenges in collecting, cleansing, and...
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...
Webinar
Accelerate Your Journey from Netezza to a Big Data Platform
To achieve greater scalability and tighter integration with their enterprise data lake and cloud computing initiatives, many Netezza users are exploring various growth options.
Solution Brief
Automated Migration of Teradata ETL and EDW to Cloud
Enterprises with significant investments in Teradata have been missing the cost and flexibility advantages of a modern big data architecture. To make the move, enterprises need to...
Webinar
Keys to ensuring airtight security in the cloud
Protect the confidentiality, integrity, and availability of your customers’ data and applications
With 94% of enterprises already using a cloud service, it is evident that cloud...
Case Study
E-learning platform rearchitected on AWS to support global expansion
Automated DevOps and operationalized a serverless, secure platform
Webinar
An Easy Approach to ETL with Apache Spark - Visually prepare, integrate, and transform data as it arrives
Executing analytical queries on massive data volumes with traditional databases and batch ETL processes is complex, expensive, and time-consuming.
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
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
Automate EDW transformation to Snowflake and leverage existing investments
Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity.
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
Webinar
A blueprint for analytics and DW transformation to the cloud
Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms,...
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...
Case Study
A Fortune 500 bank migrated 3.4 billion records and 7000 Vertica DDLs in 3 months
Released 20% capacity and reduced 40% TCO using automation for end-to-end transformation and validation
Webinar
Automated migration from on-premise Hadoop to Databricks and Delta Lake using StreamAnalytix
Most enterprises are undertaking a digital transformation initiative. Data and analytics modernization is an integral part of this journey. On-premise legacy systems like Hadoop...
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
Solution Brief
Leveraging continuous integration, delivery, and deployment (CI/CD) in StreamAnalytix
Continuous Integration and Delivery (CI/CD) is a set of automated SDLC practices and methods that enable frequent and error-free releases of change in code or data, with extensive...
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Webinar
The fastest way to convert ETL, analytics, and data warehouse to AWS
Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions.
Webinar
Accelerate your journey from data to decisions - A unified analytics platform for ETL, ML, and BI
Real-time insight-driven decision-making is a key enabler for enterprise digital transformation. But traditional ETL tools face multiple challenges in collecting, cleansing, and...
Webinar
Keys to ensuring airtight security in the cloud
Protect the confidentiality, integrity, and availability of your customers’ data and applications
With 94% of enterprises already using a cloud service, it is evident that cloud...
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
An Easy Approach to ETL with Apache Spark - Visually prepare, integrate, and transform data as it arrives
Executing analytical queries on massive data volumes with traditional databases and batch ETL processes is complex, expensive, and time-consuming.
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
Automate EDW transformation to Snowflake and leverage existing investments
Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity.
Webinar
A blueprint for analytics and DW transformation to the cloud
Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms,...
Webinar
Automated migration from on-premise Hadoop to Databricks and Delta Lake using StreamAnalytix
Most enterprises are undertaking a digital transformation initiative. Data and analytics modernization is an integral part of this journey. On-premise legacy systems like Hadoop...
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...
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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....
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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...
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Anomaly Detection with Machine Learning at Scale
Organizations are collecting massive amounts of data from disparate sources. However, they continuously face the challenge of identifying patterns, detecting anomalies, and...
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Featuring Forrester - Keys to formulating an effective data management strategy in the age of data
Companies who are leaders in the digital transformation revolution have mastered how they manage data. In order to compete with them, it is important that all businesses have a...
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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 ‘...
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Solving the EDW Transformation Conundrum
Enterprises looking to modernize the data warehouse have been facing the dilemma of choosing between migration of legacy systems and total re-engineering. While migrating the...
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Planning your Next-Gen Change Data Capture (CDC) Architecture in 2019
Traditional databases and batch ETL operations have not been able to serve the growing data volumes and the need for fast and continuous data processing.
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EDW Transformation - A Retrospective and Outlook
The enterprise data warehouse (EDW) has been the heart of decision support for more than two decades. But the game has now changed. The new age of advanced data analytics is...
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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...
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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...
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Accelerate Apache Spark Development and Operations
Enterprises are increasingly adopting Spark for tasks ranging from ingestion, ETL, and data processing to advanced analytics and machine learning. But despite its growing...
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Enterprise 360: Propelling the Data-driven Enterprise with a Unified View
As businesses continue to grow, existing enterprise data warehouses are faced with the challenge of storing and synthesizing increasing data volumes. Legacy platforms are neither...
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Transforming customer 360 for the connected consumer
Massive volumes of customer data are being generated every second. To derive valuable insights from these real-time data streams, businesses must first be able to access a unified...
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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,...
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Harnessing IoT data in an always-connected world
As the Internet of Things generates incessant data, organizations need smarter and more efficient ways to manage and process fast-growing data volumes.
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Integration of Cloudera Navigator Enables Data Governance with StreamAnalytix
Ensuring that the data is well managed, secure, and accessible are some of the critical requirements for organizations relying on data as a core asset for decision making....
White Paper
StreamAnalytix Lite narrows the Spark talent gap -Ovum Analyst Research Note
Spark has eclipsed MapReduce as the preferred processing engine in the enterprise due to its speed, real-time data processing capabilities, and utility in machine learning...
White Paper
Top 6 Considerations for a Streaming Analytics Platform
All data is first generated in real-time, be it financial transactions, sensor data, web clickstreams, geolocation data, weather reports, market data, social media, and other...
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Guide to Real-time Anomaly Detection for Enterprise Data
Anomaly detection forms an essential component of real-time analytics, which help enterprises gain significant actionable insights across a wide variety of application domains....
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IoT: The Trigger for Streaming Analytics
An Ovum white paper for Impetus StreamAnalytix
The Internet of Things (IoT) is becoming ubiquitous. More than just a curious trend, enterprises have a huge stake in harnessing...
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Getting Real Value from Real-Time Streaming Analytics
Enterprises and IoT applications can benefit immensely from real-time streaming analytics by visualizing the business in real-time, cutting preventable losses, detecting urgent...
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Real-Time Streaming Analytics
Here is a one stop source for all that you wanted to learn about real-time streaming analytics.
This comprehensive guide by Inside BIG DATA explores the genesis of streaming...
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The Build vs. Buy Decision: Exploring a Third Alternative
As enterprises realize the power of real-time information, streaming analytics platforms are fast becoming a must-have technology for enterprises. This whitepaper explores the...
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Data Science for Real-Time Streaming Analytics
Are you looking to extract business value in real-time from data in motion? Data analytics forms a crucial part of Real-time Streaming Analytics (RTSA) that allows for the...
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A Future-Proof Architecture for Streaming Data Analytics
Are you ready to reap the benefits of streaming analytics, but are worried about investing in new technology that could rapidly be surpassed or become outdated?
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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...
Solution Brief
Leveraging continuous integration, delivery, and deployment (CI/CD) in StreamAnalytix
Continuous Integration and Delivery (CI/CD) is a set of automated SDLC practices and methods that enable frequent and error-free releases of change in code or data, with extensive...
Data Sheet
StreamAnalytix Lite
StreamAnalytix Lite makes Spark easy and expands the base of users that can build Spark based applications. It off¬ers an easy-to-use visual Integrated Development Environment (...
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Automate Your Transformation Journey from EDW to Snowflake
Enterprises moving to Snowflake can experience benefits such as full SQL support, serverless architecture, strong partnerships with BI and ETL tools, and ease of maintenance....
Data Sheet
Automated SAS Workload Transformation to the Cloud
Is your organization looking to reduce its dependence on the SAS platform?
Offloading your SAS workloads to a distributed processing paradigm will help you cut costs while...
Data Sheet
Ab Initio ETL Transformation to Cloud
Out-of-the-box ETL transformation accelerators
Need to transform your ETL workloads from legacy data warehouses to big data and cloud? It can be complicated, tedious, and error-...
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-...
Solution Brief
Automated Migration of Teradata ETL and EDW to Cloud
Enterprises with significant investments in Teradata have been missing the cost and flexibility advantages of a modern big data architecture. To make the move, enterprises need to...
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Automatically transform Netezza to big data or cloud
To make the move to big data / cloud, you’ll need to confront the complexity of transforming Netezza warehouse workloads. Manual identification and transformation of EDW, ETL,...
Solution Brief
Building a Single Source of Truth across the Enterprise – An Integrated Solution
Data-driven decision making is changing the way businesses operate, and the data warehouse is at the core of an enterprise’s big data and analytics strategy. Existing data...
Solution Brief
Automated EDW Assessment: Your First Step Towards a Modern Big Data Warehouse
Ever-increasing data volumes are fast outgrowing existing data warehouses. Enterprises are looking at offloading data and processing to a big data environment to address the...
Data Sheet
Transform Your Warehouse
Automagical Transformation to Big Data
Need to transform your data from legacy data warehouse (EDW) to the data lake? It can be complicated, time-consuming, error-prone and...
Data Sheet
StreamAnalytix Platform Overview
StreamAnalytix™ enables enterprises to analyze and respond to events in real-time at big data scale using stream processing and machine learning. With support for Apache Storm and...
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
E-learning platform rearchitected on AWS to support global expansion
Automated DevOps and operationalized a serverless, secure platform
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
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...
Case Study
A Fortune 500 bank migrated 3.4 billion records and 7000 Vertica DDLs in 3 months
Released 20% capacity and reduced 40% TCO using automation for end-to-end transformation and validation
Case Study
Telecom giant saves millions with Teradata transformation to big data
Offloaded 100s of terabytes and 1000+ tables
Case Study
Large US Bank Boosts Insider Threat Detection by 5X with StreamAnalytix
Insider threat is one of the biggest cybersecurity risks to banks today. Not taking appropriate measures to control insider threats, poses as much of a risk as an external factor...
Case Study
Implementing a Hadoop data lake on Cloudera cluster led to a 6% increase in customer acquisition
A Global Fortune 500 Telecom provider increased net new and upgraded conversions for omnichannel data by replacing the existing analytics model with cost-effective big data-based...
Case Study
Leading Cable TV and Telecom Provider Enhances Customer Experience with A Customer 360 View, Using StreamAnalytix
Cable TV service providers across the world are facing immense competition for customer retention and new customer acquisition, not only from traditional players, but also from a...
Case Study
Real-Time Driver Profiling & Risk Assessment for Usage-based Insurance with StreamAnalytix
Auto insurance companies are increasingly investing in garnering data driven insight to offer simplified, transparent, and flexible products and pricing options.
This leading...
Case Study
Top US Airline Boosts Customer Experience Across Channels with StreamAnalytix
Airlines today have access to a wealth of customer data. The ability to analyze this data in real-time can lead to revenue enhancement and effective customer experience management...
Case Study
A leading Contact Centre builds a Real-Time Call Center Monitoring Solution with StreamAnalytix
Call centers process millions of minutes of calls per day across vast distributed networks around the globe. Real-time monitoring of the IVR system can be a challenge considering...
Case Study
Hyper-Scale Data Processing and Storage Using StreamAnalytix
Real-time analytics on streaming data can help enterprises offer contextual customer interactions in the moment and drive operational efficiency.
Impetus conceived and...
Case Study
Real-Time Multi-Lingual Classification and Sentiment Analysis of Text Using StreamAnalytix
StreamAnalytix enabled a major telecom operator to perform real-time, multi-lingual classification and sentiment analysis of text data.
Case Study
Leading US Telecom company saves 5 Million annually with a New Agent Monitoring System
Real-time monitoring is a far more effective way to track agent performance in contact centers than analyzing a small sample of randomly collected calls.
A leading, US based,...
Case Study
Teradata Cost Optimization by Transforming Batch and Ad hoc Workloads to Hadoop
Reduce Costs with Data Transformation
Impetus helped a U.S.-based multinational retail chain optimize their data warehouse architecture and reduce the current cost of enterprise...
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Blog
07/11/2020
Enabling a unified data storage architecture through data lakes, warehouses, and marts
Enterprises across industries are looking for a scalable, flexible, and adaptable data storage solution that supports a multitude of use cases, delivers real-time insights, and...
Blog
07/08/2020
StreamAnalytix Cloud – Your next-generation tool for self-service ETL and machine learning
Impetus’ StreamAnalytix Cloud is fast transforming the industry’s extract, transform, load (ETL) landscape. Enterprises can now effortlessly build ETL flows on the cloud,...
Blog
06/04/2020
Building serverless ETL pipelines on AWS
Technological advancements in the past decade have transformed the software development landscape significantly. Cloud services like Infrastructure-as-a-Service (IaaS) and...
Blog
04/22/2020
Key considerations for moving ETL workloads and enabling self-service ETL on cloud
The exponential growth of data across industries is fuelling the evolution of extract, transform, and load (ETL) processes. However, traditional on-premise environments are...
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
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 enterprises are struggling to address challenges like secure data access,...
Blog
09/02/2019
Detect and prevent insider threats with real-time data processing and machine learning
Insider threats are one of the most significant cybersecurity risks to banks today. These threats are becoming more frequent, more difficult to detect, and more complicated to...
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
08/07/2019
Boosting customer experience with real-time streaming analytics in the travel industry
A large US-based airline use case. A recent study by Harvard Business Review revealed that 60% of enterprise business leaders believe real-time customer analytics is crucial to...
Blog
06/25/2019
Build, test, and run your Apache Spark ETL and machine learning applications faster than ever
Start building Apache Spark pipelines within minutes on your desktop with the new StreamAnalytix Lite.
Blog
03/18/2019
Real-time analysis of weather impact on New York City taxi trips in minutes using StreamAnalytix
In this post, we will see how easy it is read data from a streaming source, apply data transformations, enrich data with external data sources and create real-time alerts in...
Blog
03/15/2019
11 points to consider for a solid EDW transformation strategy
Making the move from EDW to big data can be daunting. A thorough understanding of requirements, possible scenarios, and processes is crucial to ensure a smooth transition....
Blog
02/20/2019
Bloor Research lists StreamAnalytix as a key challenger in their 2018 market update report on streaming analytics
“StreamAnalytix provides an excellent solution for streaming analytics that combines the strengths of open source with the reliability, manageability, and support of an...
Blog
01/22/2019
Five Important Movements in the Data Analytics Landscape in 2019
Business is booming in the data industry. Investments have grown exponentially in recent years and according to industry experts, the trend is expected to continue. As data...
Blog
01/07/2019
Why Apache Spark is the right way to get a real-time customer 360 view for your business
A survey by Bain & Co. reveals that more than 89% of organizations believe that customer service plays a critical role in staying ahead of the competition. The key to...
Blog
12/25/2018
Move away from batch ETL with next-gen Change Data Capture
As data volumes continue to grow, enterprises are constantly looking for ways to reduce processing time and expedite insight extraction. However, with traditional databases and...
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Webinar
Transform data and workloads to the cloud with over 80% automation
Cloud providers like AWS, GCP, and Azure deliver next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions.
Webinar
The fastest way to convert ETL, analytics, and data warehouse to AWS
Amazon Web Services (AWS) delivers next-gen information architecture to quickly deploy end-to-end cloud analytics and data warehousing solutions.
Webinar
Accelerate your journey from data to decisions - A unified analytics platform for ETL, ML, and BI
Real-time insight-driven decision-making is a key enabler for enterprise digital transformation. But traditional ETL tools face multiple challenges in collecting, cleansing, and...
Webinar
Accelerate Your Journey from Netezza to a Big Data Platform
To achieve greater scalability and tighter integration with their enterprise data lake and cloud computing initiatives, many Netezza users are exploring various growth options.
Solution Brief
Automated Migration of Teradata ETL and EDW to Cloud
Enterprises with significant investments in Teradata have been missing the cost and flexibility advantages of a modern big data architecture. To make the move, enterprises need to...
Webinar
Keys to ensuring airtight security in the cloud
Protect the confidentiality, integrity, and availability of your customers’ data and applications
With 94% of enterprises already using a cloud service, it is evident that cloud...
Webinar
An Easy Approach to ETL with Apache Spark - Visually prepare, integrate, and transform data as it arrives
Executing analytical queries on massive data volumes with traditional databases and batch ETL processes is complex, expensive, and time-consuming.
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
Formulating an effective strategy to accelerate your cloud journey
The agile nature of the cloud helps enterprises to meet increased capacity requirements, rapidly deploy new solutions, and become more responsive to market changes. An effective...
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
Automate EDW transformation to Snowflake and leverage existing investments
Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity.
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...
Webinar
A blueprint for analytics and DW transformation to the cloud
Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms,...
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
Automated migration from on-premise Hadoop to Databricks and Delta Lake using StreamAnalytix
Most enterprises are undertaking a digital transformation initiative. Data and analytics modernization is an integral part of this journey. On-premise legacy systems like Hadoop...
Webinar
Keys to establish sustainable DW and Analytics on Cloud
Cloud adoption is inevitable to implement digital transformation and drive customer expectations. For a seamless transition of your analytical layer to modern cloud platforms,...
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...
Solution Brief
Leveraging continuous integration, delivery, and deployment (CI/CD) in StreamAnalytix
Continuous Integration and Delivery (CI/CD) is a set of automated SDLC practices and methods that enable frequent and error-free releases of change in code or data, with extensive...
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...
Webinar
Automate and Optimize DW Migration to Snowflake - Leverage existing EDW investments when moving to the Cloud
Enterprises are moving their data warehouse to the cloud to take advantage of reduced operational and administrative overheads, improved business agility, and unmatched simplicity.
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