White Paper

Modernizing legacy ETL platforms

Modernizing legacy ETL platforms

Migrate your existing ETL workflows to a modern Spark-based infrastructure with a self-service data analytics platform in 3 easy steps – assessment, conversion, and validation.

 

Download this white paper to understand how you can seamlessly port your existing ETL workflows to a new environment within the stipulated budget and time without impacting business processes for better performance.

The white paper outlines the following:

  • Challenges of traditional ETL tools
  • Strategies for migrating to a modern ETL platform
  • How to migrate your existing ETL workflows to Spark with StreamAnalytix – a self-service data analytics platform
  • Advantages of migrating workloads to StreamAnalytix

Read More

Build and operationalize machine learning models

Build and operationalize machine learning models

Seamless training, testing, scoring, and model management with StreamAnalytix

Download this white paper to learn:

  • Advantages and use cases of machine learning (ML) across industries
  • Training and deployment of ML models using StreamAnalytix
  • Model management using StreamAnalytix
  • How to operationalize models using StreamAnalytix

Enterprises use ML for its advantages like high-speed data processing, real-time insights, consistent decision-making, reusability, and extensibility across use cases like:

FINTECH

Fraud prevention

Risk management

Insider threats

Claim settlement

Customer acquisition

MANUFACTURING

Predictive maintenance

Tool life

Optimizing operations

Demand forecasting

Product development

AIRLINES

Dynamic pricing

Flight traffic

Price errors

Fuel efficiency

Flight search analysis

RETAIL

Recommendation

Price optimization

Sentiment analysis

Frauds

Data quality

HEALTHCARE

Personalized medicines

Document processing

Equipment maintenance

Drug delivery optimization

Occupancy estimation

MARKETING

Next best offer

Customer churn

Loyalty program performance

Content personalization

Social media analysis

This paper details how you can build, train, test, score, manage, and operationalize ML models using StreamAnalytix – a self-service ETL and analytics tool. The platform helps enterprises create batch and streaming ETL pipelines using drag-and-drop operators on a visual IDE. It has a wide array of built-in operators for data sources, transformations, ML, and data sinks.

Read More

Transform Ab Initio ETL workloads to the cloud or Spark

Transform Ab Initio ETL workloads to the cloud or Spark

Leading companies across industries have been using Ab Initio to solve the most complex data processing problems. However, advanced cloud platforms are now challenging Ab Initio’s popularity.

This white paper explores how you can migrate Ab Initio ETL scripts to a cloud, on-premise, or hybrid model – automatically. It also details how the Impetus Workload Transformation Solution can securely and seamlessly transform workloads, queries, and logic to the target cloud platform.

Read the white paper to learn more.

Read More

Automated transformation of ETL, data warehouse, and analytics to Snowflake

Automated transformation of ETL, data warehouse, and analytics to Snowflake

Traditional data warehouses are constrained by performance, scalability, and elasticity issues. Enterprises are increasingly moving to the next-generation cloud data warehouses like Snowflake to reduce infrastructure administration overheads, achieve business agility, and enable uncompromising simplicity.

However, moving workloads from legacy environments to Snowflake is complicated and error-prone, if handled manually. Automation toolsets can effectively deal with the intricacies to make the migration streamlined, risk-free, and seamless.

In this white paper, we will detail the key considerations and challenges while migrating to Snowflake, and how the Impetus Workload Transformation Solution helps enterprises get there faster and in a cost-effective way.

Read the white paper to learn more.

Read More

Getting Real Value from Real-Time Streaming Analytics

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 situations and automating immediate actions.

Highlights:

  • What is real-time streaming analytics?
  • What are distinctive characteristics of real-time streaming analytics?
  • How real-time streaming analytics can add value to business?
  • Recommendations on design, approaches and implementation of real-time streaming analytics

Read the White Paper to learn more.

Read More

A Future-Proof Architecture for Streaming Data Analytics

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?

Learn how to leverage the steady flow of advanced real-time streaming data analytics (RTSA) application development technologies and future-proof the solution.

Highlights:

  • Benefits of real- time streaming analytics (RTSA)
  • Architecture of an RTSA platform
  • How to future-proof an RTSA platform?

Read the White Paper to learn more.

Read More

The Build vs. Buy Decision: Exploring a Third Alternative

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 classic IT conundrum of build vs buy, specifically in terms of acquiring a real-time streaming analytics platform.

Highlights:

  • Pros and cons of doing-it-yourself against the option of buying a pre-built solution
  • Four categories of buying options
  • The Third Alternative: “The Best of Both Worlds”

Read the White Paper to learn more.

Read More

Real-Time Streaming Analytics

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 explores the genesis of streaming analytics and the business value of real-time streaming for enterprises for different use cases. The paper shares how businesses are selecting a streaming architecture along with a few case studies. It also provides an overview on StreamAnalytix- industry’s only multi-engine streaming analytics platform based on open source technology stack.

Read this guide to learn how you can implement and derive business value from real- time streaming analytics.

Read the guide to learn more.

Read More

Driving Business Value from Real-Time Streaming Analytics

Driving Business Value from Real-Time Streaming Analytics

Driving Business Value from Real-Time Streaming Analytics

Is your data value decreasing with each increment of delay, becoming less a force for rapid response than a resource for diagnostics and descriptive reports of the past?

Learn how enterprises are tapping into unstructured, real-time data sources that create a potential goldmine of information.

This white paper explores different real-time use cases of real-time streaming analytics across various industry verticals.

Read the White Paper to learn more.

Read More

Data Science for Real-Time Streaming Analytics

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 collection, integration, analysis and visualization of data in real-time.

This white paper explores different data science models and methods for streaming analytics.

Highlights:

  • Types of data analytics
  • Batch vs. streaming data analytics
  • How to extract insights from data in motion
  • Offline vs. online modeling
  • Challenges posed by streaming analytics

Read the White Paper to learn more.

Read More

Pages