Platform
- Streaming analytics: Market research and trends
- Gathr product review: Mutable Quadrant evaluation
- Modernizing Your DataOps Pipeline to Address Fresh Challenges: 6 Best Practices
- Building a modern data stack: What playbooks don’t tell you
- Top 6 considerations for a real-time analytics platform
- IoT: The Trigger for Streaming Analytics
- Ten must-haves for a powerful enterprise data science solution
- Build and operationalize machine learning models
- Modernizing legacy ETL platforms
- Unified and high-performing data ecosystem for ETL, ML, and BI
- Leveraging continuous integration and delivery (CI/CD)
- Accelerate Apache Spark Development and Operations
- Transforming customer 360 for the connected consumer
- Convergence of IoT and real-time analytics in a hyper-connected world
- Tackling data governance challenges with Cloudera Navigator and Gathr
- Guide to Real-time Anomaly Detection for Enterprise Data
- Data Science for Real-time Streaming Analytics
- Real-time Streaming Analytics
- The Build vs. Buy Decision: Exploring a Third Alternative
- A Future-Proof Architecture for Streaming Data Analytics
- Getting Real Value from Real-time Streaming Analytics
- Fortune 100 telecommunications company seamlessly migrates from Teradata to Amazon Redshift
- Call center agent monitoring for a leading wireless & telecom service provider
- Real-time multi-lingual sentiment analysis for a top U.S. telecom provider
- Real-time call monitoring solution for a leading US-based call center
- Real-time business activity monitoring for a Fortune 500 mortgage lender
- Processed 1.5 billion events per day for a large communication analytics company
- Pre-emptive fault detection solution for a multinational automaker
- Real-time insider threat detection solution for a Fortune 500 bank
- 360-degree view of the customer for a large cable TV and telecom provider
- Driver profiling and risk assessment for a leading auto-insurance provider
- Superior omni-channel customer experience for a major US airline
- Analytics modernization for better customer engagement and loyalty
- Accelerating time to value with a modern data integration approach
- Winning customer’s moment of truth by harnessing real-time insights from data-in-motion
- Evolving the DataOps Pipeline to Address Fresh Challenges
- Don't just migrate. Modernize your legacy ETL.
- Drive innovation and growth with intelligent data pipelines
- Accelerating digital transformation with DataOps
- Accelerate business initiatives by modernizing your data pipelines
- Create CDC apps in minutes using a wizard-based approach
- Flying higher and farther with data: United Airlines’ journey
- Ensure successful data ingestion on the cloud: Strategies for 2021
- Simplify Spark-based ETL workflows on the cloud
- Eliminate cybersecurity threats using data analytics – Build a resilient enterprise during COVID-19
- Achieving hyper-personalization using modern DI & ML
- Powering next-best-action through advanced DI & ML
- Accelerate your journey from data to decisions – A Unified analytics platform for ETL, ML, and BI
- Automated migration from on-premise Hadoop to Databricks and Delta Lake using Gathr
- Anomaly Detection with Machine Learning at Scale
- Build Spark-based ETL Workflows on Cloud in Minutes
- Planning your Next-Gen Change Data Capture (CDC) Architecture
- Transforming Real-time Customer 360 with Apache Spark
- Streaming Architecture: Top Ten Requirements To Evolve To A Real-Time Enterprise
- Apache Spark: The New Enterprise Backbone for ETL, Batch and Real-time Streaming
- Streaming Analytics for IoT with Apache Spark
- Anomaly Detection: Real World Scenarios, Approaches, and Live Implementation
- Apache Spark: The De Facto Choice for Stream Processing and Machine Learning
- The Structured Streaming Upgrade to Apache Spark and How Enterprises Can Benefit
- Real-time Data360 on Apache Spark
- Self Service Pre-built Pipelines for Building Real-time Streaming Apps
- Spark Streaming Made Easy!
- Harnessing the Firehose: Getting Business Value from Streaming Analytics
- Ahead of the Stream: How to Future-Proof Real-time Streaming Analytics
- Future-Proof Your Streaming Analytics Architecture
- How to build Real-time Streaming Apps in minutes
- Smart Enterprise Big Data Bus for the Modern Responsive Enterprise
- Real-world Applications of Streaming Analytics
- Real-time Streaming Analytics for Enterprises based on Apache Storm
- Real-time Streaming Analytics: Business Value, Use Cases, and Architectural Considerations
- Drag-and-drop Data Pipelining: The Next Disruptor in ML
- These 3 Trends Will Shape the Data and Analytics Landscape in 2022
- Data wrangling vs. data cleansing vs. ETL vs. ELT: Understanding key differences
- 4 common data integration pitfalls to avoid
- Distributed Cloud: The Latest Innovation Accelerator
- Why modernizing ETL is imperative for massive scale, real-time data processing
- Gathr Named in The Forrester Wave™: Streaming Analytics, Q2, 2021
- 5 must-haves in a modern data pipeline tool
- This year’s top three trends for data and analytics leaders
- Machine learning-based real-time threat detection for banks
- Essentials for an enterprise data science solution
- Self-service ingestion: The key to creating a unified, scalable, cloud data lake
- Key considerations for moving ETL workloads and enabling self-service ETL on cloud
- Modernize your ETL processes with Gathr
- Detect and prevent insider threats with real-time data processing and machine learning
- Boosting customer experience with real-time streaming analytics in the travel industry
- Real-time analysis of weather impact on New York City taxi trips in minutes
- Bloor Research 2018: Gathr a key challenger in streaming analytics
- Why Apache Spark is the right way to get a real-time customer 360 view for your business
- Move away from batch ETL with next-gen Change Data Capture
- How modern data science is transforming anomaly detection
- Why Apache Spark is the Antidote to Multi-Vendor Data Processing
- New Approaches to Real-time Anomaly Detection for Streaming Data
- Big Data Trends for 2018
- Low-code Application Development Can Drive Higher Apache Spark Adoption in the Enterprise
- The Forrester Wave™: Streaming Analytics, Q3 2017: Gathr named a Strong Performer
- Aragon Research 2017: Gathr one of the four hot vendors in streaming analytics
- Structured Streaming, Simplifying Building Stream Analytics Applications
- Using Zeppelin to Build Data Science Models for Gathr
- Spark Streaming Contest: Real-time Anomaly Detection Apps
- Using Gathr to Calculate the Conversion Rate of a Website
- Streaming Big Data ETL with Impetus Gathr and Syncsort DMX – Guest Blog
- Automated ingestion: Salesforce to Snowflake
- Data Integration
- Creating CDC applications
- Build automated ingestion apps
- Creating business alerts
- Creating test cases
- Creating a data pipeline
- Training machine learning models
- Orchestration of multiple pipelines
- Operationalizing data science models
- Data preparation
- Creating CDC application