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Beyond Machine Learning: Advantages of Ensemble Models for Interpretable Time Series Forecasting

Time series forecasting continues to be a critical task in many industries, including retail, finance, healthcare, and manufacturing. Traditional forecasting methods have been successful, but advancements in machine learning (ML) have sparked interest in using ML algorithms for time series forecasting. However, the complexity of exogenous events such as a pandemic and inclement weather, can make time series forecasting challenging.

Business Process Analytics: The State of BPA Today

Companies need to rely on connectivity and data to keep up with the competition. Organizations digitize their processes to reduce costs, enhance the customer experience, and improve efficiencies. In fact, 66% of businesses have automated at least one business process. However, as businesses adopt more data, tracking digital processes becomes increasingly complex and challenging. How can you know if these efforts are truly saving your organization time and money?

Total Economic Impact of Elasticsearch: Elastic delivers a 293% ROI and drives revenue improvement for customers

Elastic customers have seen a 5% revenue improvement within three years, among other benefits. How? Using Elasticsearch, developers can ingest and connect various data sources to provide their companies, employees, customers, and/or public access to information and tune results for faster, more precise answers. Elasticsearch AI/ML powered search is designed to maximize performance and compute resources to deliver applications that can scale as businesses grow.

Observability: Working with Metrics, Logs and Traces

The concept of observability centers around collecting data from all parts of the system to provide a unified view of the software at large. Fault tolerance, no single point of failure and redundancy are prominent design principles in modern software systems. But that doesn’t mean errors, degradation, bugs or even the occasional catastrophe don’t happen.

Generative AI in financial services: The role of the Elasticsearch Relevance Engine

Generative artificial intelligence (GAI) is undoubtedly one of the biggest trends across industries in 2023. In a recent survey, almost two-thirds of executives believe generative AI will have a high or extremely high impact on their organization in the next three to five years. Executives anticipate spending the next 6–12 months focused on increasing their understanding of how generative AI works, evaluating internal capabilities, and investing in generative AI tools.

A holistic approach to securing Spark-based data engineering

Apache Spark is an open-source toolkit that helps users develop parallel, distributed data engineering and machine learning applications and run them at scale. In this webinar, Rob Gibbon – product manager, and Massimiliano Gori – senior information security lead, will survey the state of big data security best practices and outline both high level architectures and pragmatic steps that you can take to secure your Spark applications – wherever they may be running.

Deploy PostgreSQL service with custom configurations using Terraform

In this video, Dewan covers how to create an Aiven for PostgreSQL service with custom configurations. For your automation needs, he is using Aiven Terraform Provider for the deployment. CHAPTERS ABOUT AIVEN Aiven’s cloud data platform helps your business reach its highest potential by making your data work for you. It provides fully managed open source data infrastructure on all major clouds, helping developers focus on what they do best: innovate and create without worrying about the limitations of technology.

Intro to InfluxDB 3.0

We took the leading time series database and rebuilt it from the ground-up to make it better than ever. InfluxDB 3.0 delivers new features and capabilities, significant performance improvements, and native SQL support to expand and extend time series use cases that rely on high-cardinality time series data for observability, real-time analytics, and IoT/IIoT/Operations Technology.

Securing Apache Spark Big Data Operations

Apache Spark is an open source toolkit that helps users develop parallel, distributed data engineering and machine learning applications and run them at scale. In this webinar, Rob Gibbon – product manager, and Massimiliano Gori – senior information security lead, will survey the state of big data security best practices and outline both high level architectures and pragmatic steps that you can take to secure your Spark applications – wherever they may be running.

10 AWS Data Lake Best Practices

A data lake is the perfect solution for storing and accessing your data, and enabling data analytics at scale - but do you know how to make the most of your AWS data lake? In this week’s blog post, we’re offering 10 data lake best practices that can help you optimize your AWS S3 data lake set-up and data management workflows, decrease time-to-insights, reduce costs, and get the most value from your AWS data lake deployment.