“…Usually, ML engineers focus on handling data and building models, so if you know can use cloud tools, it makes you an even more valuable as an MLOps engineer. You'll be able to ingest your own data, get through the feature engineering process, train and evaluate models, and deploy them to where they will be consumed. …”

“…Learn how a basic fast data architecture works, step-by-step Examine how Kafka’s data backplane combines the best abstractions of log-oriented and message queue systems for integrating components Evaluate four streaming engines, including Kafka Streams, Akka Streams, Spark, and Flink Learn which streaming engines work best for different use cases Get recommendations for making real-world streaming systems responsive, resilient, elastic, and message driven Explore an example IoT streaming application that includes telemetry ingestion and anomaly detection…”

“…Learn step-by-step how a basic fast data architecture works Understand why event logs are the core abstraction for streaming architectures, while message queues are the core integration tool Use methods for analyzing infinite data sets, where you don’t have all the data and never will Take a tour of open source streaming engines, and discover which ones work best for different use cases Get recommendations for making real-world streaming systems responsive, resilient, elastic, and message driven Explore an example streaming application for the IoT: telemetry ingestion and anomaly detection for home automation systems…”

“…The world's businesses ingest a combined 2.5 quintillion bytes of data every day. …”

“…In the book, you'll discover Power BI's robust feature set, learn to ingest and model data, visualize and report on that data, and even use the DAX scripting language to unlock still more utility from Microsoft's popular program. …”

“…What You Will Learn How to create visualizations in Kibana Ingest log data, structure an Elasticsearch cluster, and create visualization assets in Kibana Embed Kibana visualization on web pages Scaffold, develop, and deploy new Kibana & Timelion customizations Build a metrics dashboard in Timelion based on time series data Use the Graph plugin visualization feature and leverage a graph query Create, implement, package, and deploy a new custom plugin Use Prelert to solve anomaly detection challenges In Detail Kibana is an open source data visualization platform that allows you to interact with your data through stunning, powerful graphics. …”

“…In the age of Big Data, Artificial Intelligence, and Data Mining, an aspect often overlooked is the interactive and visual usability of frameworks, tools, and concepts used for ingesting and analyzing large quantities of data. This workshop focuses on aspects related to exactly this, i.e.…”

“…We are still learning about all the subtle drivers of antibiotic resistance, realizing that we need a single “whole health” coordinated policy. We ingest what we sometimes feed to animals, yet there does not seem to be any new classes of antibiotics on the horizon. …”

“…Additionally you’ll become comfortable with related PySpark components, such as data ingestion, data processing, and data analysis, that you can use to develop data-driven intelligent applications. …”

“…Discover how: Fast-data systems ingest, analyze, act upon, and export data while meeting stringent non-functional requirements Openet evolved its mediation product with a VoltDB system to process 1 trillion real-time events per day Nokia seamlessly transitioned to NFV and SDN to deliver converged broadband and IoT communication Emagine used VoltDB to provide real-time analysis of network subscriber data based on event triggers Nimble upgraded its predictive analytics platform to predict, diagnose, and prevent performance problems in IoT storage arrays…”

“…Huge numbers of marine animals, including marine mammals, die every year from entanglement in fishing gear, by ingestion of litter or because of chemical pollution. …”

“…You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering The structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source tools and APIs Tamer Khraisha, PhD, is a senior data engineer and scientific author with more than a decade of experience in the financial sector…”

“…You'll start by working with Elasticsearch to ingest, search, analyze, and store data for your use cases. …”

“…Through the course of this video, you’ll investigate: Kafka: get your data under control by handling real-time data feeds with this message broker Spark: learn how this parallel processing framework can quickly and efficiently analyze massive amounts of data Spark Streaming: perform effective stream analysis by ingesting data in micro-batches Cassandra: understand how this distributed database works by examining use cases where scaling and uptime are critical Cassandra Query Language (CQL): use this language to navigate your data models, from creating tables to inserting and selecting data Spark and Cassandra: combine these powerful tools to perform expressive analytics over large volumes of data Patrick McFadin is one of the leading experts of Apache Cassandra and data modeling techniques. …”

“…With focused attention on the workflow and integration between the video and audio applications in Adobe Creative Cloud, you'll learn to plan and organize projects, ingest and log clips in Adobe Prelude, edit in Adobe Premiere Pro, create motion graphics and visual effects using Adobe After Effects, work with audio in Adobe Audition, color correct in Adobe SpeedGrade, finish and render compositions, output your files for the web, and share your files on Adobe Creative Cloud. …”

“…What You Will Learn See how to set up and configure Elasticsearch and Kibana Know how to ingest structured and unstructured data using Elasticsearch Understand how a search engine works and the concepts of relevance and scoring Find out how to query Elasticsearch with a high degree of performance and scalability Improve the user experience by using autocomplete, geolocation queries, and much more See how to slice and dice your data using Elasticsearch aggregations. …”

“…Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. …”

“…Apache Kudu, the breakthrough storage technology, is often used in conjunction with other Hadoop ecosystem frameworks for data ingest, processing, and analysis. This is a practical, hands-on course that shows you how Kudu works with four of those frameworks: Apache Spark, Spark SQL, MLlib, and Apache Flume. …”

“…It provides an execution platform and services for applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams. …”

“…In addition, consumption of several other foods has been found to convey more acute cognitively enhancing effects. For example, ingestion of carbohydrates (e.g. glucose), caffeine, resveratrol and several ‘nutraceutical’ herbal extracts has been associated with short-term improvements in cognitive performance. …”