Client Library Support for InfluxDB 3.0
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Querying InfluxDB Cloud with the Go Flight SQL Client
InfluxDB Cloud 3.0 is a versatile time series database built on top of the Apache ecosystem. You can query InfluxDB Cloud with the Apache Arrow Flight SQL interface, which provides SQL support for working with time series data. In this tutorial, we will walk through the process of querying InfluxDB Cloud with Flight SQL, using Go. The Go Flight SQL Client is part of Apache Arrow Flight, a framework for building high-performance data services.
The Data Scientist Role Explained: Responsibilities, Skills & Tools
As one of the most innovative, in-demand roles on the market, data scientists are responsible for harnessing the power of data to make valuable predictions and decisions. This blog post takes an in-depth look at what a data scientist does, from mining structured and unstructured data and extracting useful information to using advanced algorithms and technologies like machine learning and artificial intelligence (AI) for decision-making.
Introducing Slides for Splunk> : Using Splunk as a Powerful Presentation Tool
Splunk is such an open, extensible and multi-use product that the craziest technical addon ideas are feasible. In this blog, I will tell you why and how I had the idea to transform Splunk into a slide presentation tool.
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.