Tag: Apache

Feed: Recent Announcements. You can access the Apache Flink dashboard via a browser by clicking on the ‘Apache Flink Dashboard’ button on the Kinesis Data Analytics console or by calling the service’s new CreateApplicationPresignedURL API. The dashboard is enabled by default for all Kinesis Data Analytics for Apache Flink applications and includes data on Apache Flink job performance and critical application health such as watermarks, checkpoints, and backpressure.  Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data ... Read More

Feed: Recent Announcements. With this launch, Kinesis Data Analytics supports JDK 11 and Scala 2.12, with support for Python coming soon. Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications. Amazon Kinesis Data Analytics for Apache Flink integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon Elasticsearch Service, Amazon DynamoDB streams Amazon S3, custom integrations, and ... Read More

Feed: Liquid Web. Author: Todd Terwillegar; We’re the employees you would hire if you could. Responsive, helpful, and dedicated in ways automation simply can’t be. We’re your team. Each month we recognize one of our Most Helpful Humans in Hosting. Meet Krissy Franklin Krissy Franklin is a mother of three wonderful grown children, which she considers to be her greatest achievement. Professionally, she has experience in numerous fields, including photography, research, and even agriculture, but for many years had wanted to pursue a career in the Technology Industry. To explore the possibilities, she attended a course in Linux at Open ... Read More

Feed: Recent Announcements. Schemas define the structure and format of data records (also known as events) produced by applications. For example, a schema may be defined by a group of fields, such as an event timestamp, customer ID, email address, and a unique identifier for an action taken on a webpage. When data producing applications add or remove fields from a schema (e.g. email address is removed), data quality may be compromised and downstream applications can fail. To prevent these issues, developers often write defensive code within their applications, coordinate schema changes between upstream and downstream teams using maintenance windows, ... Read More

Feed: CIO. Author: . Nearly every company that has gone through a digital transformation has struggled with how to best utilize the vast amounts of data being collected. Indeed, we estimate that for most companies, 85%-95% of data is never fully utilized, and therefore wasted. There are many stages in a data lifecycle, including acquisition of the data, creation of data engineering/data sets to impart meaning to the raw data, bulk storage of the data for further use/analysis, database creation for exploring the data, and finally capability to use advanced analytics and/or Machine Learning to extract insights from the data ... Read More

Feed: AWS Partner Network (APN) Blog. Author: Paul Scott-Murphy. By Paul Scott-Murphy, VP Product Management at WANdiscoBy Jeremy Zogg, Sr. Director Engineering at GoDaddyBy Roy Hasson, WW Analytics Specialist Leader at AWS Organizations collect and store vast amounts of data that is processed and analyzed throughout each day in order to deliver fresh actionable insights. As business requirements evolve, however, organizations are faced with a need to collect and store even more data from diverse sources. To manage the ever-increasing volume of data and demands from the business, organizations build and maintain large Hadoop clusters. These primarily reside on-premises and ... Read More

Feed: AWS Big Data Blog. AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load your data for analytics. AWS Glue 2.0 features an upgraded infrastructure for running Apache Spark ETL jobs in AWS Glue with reduced startup times. With reduced startup delay time and lower minimum billing duration, overall jobs complete faster, enabling you to run micro-batching and time-sensitive workloads more cost-effectively. To use this feature with your AWS Glue Spark ETL jobs, choose 2.0 for the AWS Glue version when creating your jobs. AWS Glue 2.0 also lets ... Read More

Feed: Recent Announcements. Cruise Control integrates with Amazon MSK’s open monitoring for Prometheus feature and is also compatible with any Apache Kafka cluster that uses Prometheus for metric aggregation. Amazon MSK contributed to Cruise Control to make this integration possible, and was supported by other contributors to the open source project. Amazon MSK offers free virtual workshops where customers can learn how to build solutions, including setting up an end-to-end clickstream analytics pipeline, and how to use MirrorMaker 2.0 for migration or replication. We’ve also added a new lab that shows you how to setup and use Cruise Control with ... Read More

Feed: Matillion. Author: Julie Polito; Database technology has changed and evolved over the years. Relational, NoSQL, hierarchical…it can start to get confusing. Storing data doesn’t have to be a headache. If you’re trying to pick the right database for your organization, here’s a guide to the properties and uses of each type.What are the types of databases?1. Relational databases Relational databases have been around since the 1970s. The name comes from the way that data is stored in multiple, related tables. Within the tables, data is stored in rows and columns. The relational database management system (RDBMS) is the program that ... Read More

Feed: Recent Announcements. With the new hot reload capability, you can call analyzers at search time, and your dictionary files augment the search results during the query. This feature also lets you version your dictionary files in Amazon Elasticsearch Service and update them on your domains, also without having to reindex your data.  Hot reload of dictionary files is available on any Amazon Elasticsearch Service domain running Elasticsearch 7.8 or later. To learn more, see the documentation. This feature is powered by Open Distro for Elasticsearch, an Apache 2.0-licensed distribution of Elasticsearch. To learn more about Open Distro for Elasticsearch ... Read More