<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Modern data plumbing]]></title><description><![CDATA[Learn about real-time data plumbing, data integration, loading data to Redshift, creating your custom analytics solution, stream processing and more, brought to you by the Alooma team.]]></description><link>https://www.alooma.com</link><image><url>https://www.alooma.com/img/logo.png</url><title>Modern data plumbing</title><link>https://www.alooma.com</link></image><generator>RSS for Node</generator><lastBuildDate>Sun, 07 Jan 2018 09:51:46 GMT</lastBuildDate><atom:link href="https://www.alooma.com/blog/feed.xml" rel="self" type="application/rss+xml"/><language><![CDATA[en]]></language><item><title><![CDATA[Apache storm dependency injection]]></title><description><![CDATA[Using dependency injection within the apache storm framework.]]></description><link>https://www.alooma.com/blog/apache-storm-dependency-injection</link><guid isPermaLink="false">apache-storm-dependency-injection</guid><dc:creator><![CDATA[Eli Oxman]]></dc:creator><pubDate>Tue, 10 Mar 2015 00:00:00 GMT</pubDate></item><item><title><![CDATA[TLV Data Plumbers First Meetup]]></title><description><![CDATA[Data Plumbing Blues - The first data plumbers meetup with 3 Real-Life Examples]]></description><link>https://www.alooma.com/blog/tlv-data-plumbers-first-meetup</link><guid isPermaLink="false">tlv-data-plumbers-first-meetup</guid><dc:creator><![CDATA[Alooma team]]></dc:creator><pubDate>Sun, 31 May 2015 00:00:00 GMT</pubDate></item><item><title><![CDATA[Exactly-Once Processing with Trident - The Fake Truth]]></title><description><![CDATA[Dissecting the Trident Guarantee of Exactly-Once Semantics]]></description><link>https://www.alooma.com/blog/trident-exactly-once</link><guid isPermaLink="false">trident-exactly-once</guid><dc:creator><![CDATA[Yair Weinberger]]></dc:creator><pubDate>Wed, 10 Jun 2015 00:00:00 GMT</pubDate></item><item><title><![CDATA[Building Dockers with Maven for Continuous Integration]]></title><description><![CDATA[How we at Alooma are building dockers using docker-maven-plugin and Jenkins.]]></description><link>https://www.alooma.com/blog/building-dockers</link><guid isPermaLink="false">building-dockers</guid><dc:creator><![CDATA[Eli Oxman]]></dc:creator><pubDate>Mon, 03 Aug 2015 00:00:00 GMT</pubDate></item><item><title><![CDATA[Building a Professional Grade Data Pipeline]]></title><description><![CDATA[Flexible, reliable data pipelines are hard to build. We do this for a living, and wanted to share our knowledge and experience in understanding the difficulties.]]></description><link>https://www.alooma.com/blog/building-a-professional-grade-data-pipeline</link><guid isPermaLink="false">building-a-professional-grade-data-pipeline</guid><dc:creator><![CDATA[Rami Amar]]></dc:creator><pubDate>Mon, 24 Aug 2015 00:00:00 GMT</pubDate></item><item><title><![CDATA[Export Application Insights to Amazon Redshift with Alooma]]></title><description><![CDATA[Learn how to export Application Insights data to Amazon Redshift with Alooma]]></description><link>https://www.alooma.com/blog/application-insights-amazon-redshift</link><guid isPermaLink="false">application-insights-amazon-redshift</guid><dc:creator><![CDATA[Itamar Weiss]]></dc:creator><pubDate>Mon, 16 Nov 2015 00:00:00 GMT</pubDate></item><item><title><![CDATA[Amazon Redshift for Custom Analytics - Full Guide]]></title><description><![CDATA[Learn how to build a custom analytics pipeline over Amazon Redshift with real-world examples of engagement, funnels, retention and customer value analyses.]]></description><link>https://www.alooma.com/blog/custom-analytics-amazon-redshift</link><guid isPermaLink="false">custom-analytics-amazon-redshift</guid><dc:creator><![CDATA[Itamar Weiss]]></dc:creator><pubDate>Mon, 23 Nov 2015 00:00:00 GMT</pubDate></item><item><title><![CDATA[MySQL to Amazon Redshift replication]]></title><description><![CDATA[How to replicate your MySQL to Amazon Redshift: A comparison of 3 common approaches with detailed real-world examples.]]></description><link>https://www.alooma.com/blog/mysql-to-amazon-redshift-replication</link><guid isPermaLink="false">mysql-to-amazon-redshift-replication</guid><dc:creator><![CDATA[Itamar Weiss]]></dc:creator><pubDate>Tue, 19 Jan 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[5 Valuable Resource on Custom Analytics]]></title><description><![CDATA[A mini-list of 5 brilliant blog posts on Custom Analytics]]></description><link>https://www.alooma.com/blog/top-custom-analytics-resources</link><guid isPermaLink="false">top-custom-analytics-resources</guid><dc:creator><![CDATA[Alooma Team]]></dc:creator><pubDate>Wed, 06 Apr 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[Welcoming BigQuery, MySQL and MemSQL]]></title><description><![CDATA[Today we announce new data warehouse integrations to BigQuery, MySQL and MemSQL]]></description><link>https://www.alooma.com/blog/new-integration-with-bigquery-mysql-memsql</link><guid isPermaLink="false">new-integration-with-bigquery-mysql-memsql</guid><dc:creator><![CDATA[Alooma Team]]></dc:creator><pubDate>Thu, 19 May 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[Making big data analysis accessible throughout your company]]></title><description><![CDATA[How to make everyone at your company data driven, regardless of their SQL knowledge.]]></description><link>https://www.alooma.com/blog/making-big-data-analysis-accessible</link><guid isPermaLink="false">making-big-data-analysis-accessible</guid><dc:creator><![CDATA[Andy Granowitz]]></dc:creator><pubDate>Mon, 23 May 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[Use webhooks to integrate data sources with Alooma]]></title><description><![CDATA[Use webhooks to integrate any SaaS product to your data warehouse]]></description><link>https://www.alooma.com/blog/data-integration-via-webhook</link><guid isPermaLink="false">data-integration-via-webhook</guid><dc:creator><![CDATA[Itamar Weiss]]></dc:creator><pubDate>Mon, 06 Jun 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[4 Valuable Resources on Stream processing]]></title><description><![CDATA[Beginner guide to stream processing. Statefull, Stateless and in between.]]></description><link>https://www.alooma.com/blog/stream-processing-101</link><guid isPermaLink="false">stream-processing-101</guid><dc:creator><![CDATA[Dan-ya Shwartz]]></dc:creator><pubDate>Mon, 04 Jul 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[Forbes names Alooma the rising star of data infrastructure]]></title><description><![CDATA[Alooma is proud to be named the rising star of data infrastructure in the Forbes 2016 World’s Best Cloud Companies list.]]></description><link>https://www.alooma.com/blog/forbes-cloud-100-alooma</link><guid isPermaLink="false">forbes-cloud-100-alooma</guid><dc:creator><![CDATA[Alooma Team]]></dc:creator><pubDate>Wed, 07 Sep 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[Alooma Live - Kafka Real-Time Visualization]]></title><description><![CDATA[Introducing Alooma Live - our new tool for real-time, big-data stream visualization]]></description><link>https://www.alooma.com/blog/kafka-realtime-visualization</link><guid isPermaLink="false">kafka-realtime-visualization</guid><dc:creator><![CDATA[Itamar Weiss & Stav Mizrahi]]></dc:creator><pubDate>Mon, 12 Sep 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[Amazon Athena - Initial Analysis]]></title><description><![CDATA[Everything you need to know about Amazon's latest announcement: Amazon Athena - an interactive query service for Amazon S3.]]></description><link>https://www.alooma.com/blog/amazon-athena</link><guid isPermaLink="false">amazon-athena</guid><dc:creator><![CDATA[Itamar Weiss]]></dc:creator><pubDate>Wed, 30 Nov 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[Harnessing real-time data to improve customer experience]]></title><description><![CDATA[An example of how we at Alooma use real-time data collected from multiple sources to gain insight into our customer's actions, and to improve customer hapiness.]]></description><link>https://www.alooma.com/blog/realtime-customer-experience</link><guid isPermaLink="false">realtime-customer-experience</guid><dc:creator><![CDATA[Ofri Raviv]]></dc:creator><pubDate>Tue, 20 Dec 2016 00:00:00 GMT</pubDate></item><item><title><![CDATA[ETL Tools: A Modern List]]></title><description><![CDATA[Extract, Transform and Load (ETL) tools enable organizations to make their data accessible, meaningful, and usable across disparate data systems. When it comes to choosing the right ETL tool, there are many options to chose from.]]></description><link>https://www.alooma.com/blog/etl-tools-modern-list</link><guid isPermaLink="false">etl-tools-modern-list</guid><dc:creator><![CDATA[Alooma Team]]></dc:creator><pubDate>Mon, 16 Jan 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Sessionization Using Python and Alooma’s Code Engine]]></title><description><![CDATA[An introduction to stateful processing, and how we at Alooma, are using stateful processing internally to get the most out of our events data.]]></description><link>https://www.alooma.com/blog/context-creating-sessions</link><guid isPermaLink="false">context-creating-sessions</guid><dc:creator><![CDATA[Ofri Raviv]]></dc:creator><pubDate>Thu, 19 Jan 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Enriching Streaming Data With External Sources]]></title><description><![CDATA[How to use Alooma’s Code Engine to enrich streaming events with data from external sources]]></description><link>https://www.alooma.com/blog/context-enrichment</link><guid isPermaLink="false">context-enrichment</guid><dc:creator><![CDATA[Ofri Raviv]]></dc:creator><pubDate>Wed, 25 Jan 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Real-Time Anomaly Detection on the Stream]]></title><description><![CDATA[How to monitor and detect anomalies in KPIs in real time using Alooma’s Code Engine.]]></description><link>https://www.alooma.com/blog/context-anomaly-detection</link><guid isPermaLink="false">context-anomaly-detection</guid><dc:creator><![CDATA[Ofri Raviv]]></dc:creator><pubDate>Wed, 01 Feb 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Six pitfalls when connecting Elasticsearch to Redshift]]></title><description><![CDATA[Redshift and Elasticsearch have a very different structure, as they are two very different solutions for data storage. While Elasticsearch is a full-text search engine based around schema-free JSON documents, Redshift is an SQL-based, columnar, schema’d data warehouse based on PostgreSQL.]]></description><link>https://www.alooma.com/blog/elasticsearch-to-redshift-6-pitfalls</link><guid isPermaLink="false">elasticsearch-to-redshift-6-pitfalls</guid><dc:creator><![CDATA[Yuval Barth]]></dc:creator><pubDate>Tue, 14 Mar 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Recruiting a Top Notch ETL Developer]]></title><description><![CDATA[In order to build a great data team, you need great data engineers. Here's how to hire them.]]></description><link>https://www.alooma.com/blog/recruiting-etl-developer</link><guid isPermaLink="false">recruiting-etl-developer</guid><dc:creator><![CDATA[Ram Amar]]></dc:creator><pubDate>Wed, 29 Mar 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Infographic: Why Streaming Data Pipelines Matter]]></title><description><![CDATA[Streaming data pipelines today are enabling organizations to transform and become data-driven.]]></description><link>https://www.alooma.com/blog/why-streaming-data-pipeline-matters</link><guid isPermaLink="false">why-streaming-data-pipeline-matters</guid><dc:creator><![CDATA[Alooma Team]]></dc:creator><pubDate>Mon, 24 Apr 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Redshift: How to alter column in 3 clicks]]></title><description><![CDATA[There’s no simple, native way to alter a column’s name or data type in Redshift, BigQuery, or Snowflake. So, we built one which enables you to alter a column in 3 clicks within the Alooma Platform. Read on to learn about how we, as a product team, got there. ]]></description><link>https://www.alooma.com/blog/redshift-how-to-alter-column-in-3-clicks</link><guid isPermaLink="false">redshift-how-to-alter-column-in-3-clicks</guid><dc:creator><![CDATA[Noaa Cohn]]></dc:creator><pubDate>Sat, 03 Jun 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Redshift Vacuum and Analyze Tool: Doing your Maintenance Work for you]]></title><description><![CDATA[Explaining why VACUUM and ANALYZE are required. We’re providing you with a free tool to manage your maintenance tasks.]]></description><link>https://www.alooma.com/blog/vacuum-analyze</link><guid isPermaLink="false">vacuum-analyze</guid><dc:creator><![CDATA[Dani Raznikov]]></dc:creator><pubDate>Mon, 12 Jun 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Solving the challenges of mapping your data]]></title><description><![CDATA[When mapping is done correctly, the pipeline process works smoothly with fewer loading errors. That’s why we at Alooma allow you to automate the mapping process, so you won’t have to deal with the dirty work of deciding which column should be mapped to which data type.]]></description><link>https://www.alooma.com/blog/solving-the-challenges-of-mapping-your-data</link><guid isPermaLink="false">solving-the-challenges-of-mapping-your-data</guid><dc:creator><![CDATA[Yaara Gazit]]></dc:creator><pubDate>Wed, 21 Jun 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[The easiest way to load a CSV into Google BigQuery]]></title><description><![CDATA[BigQuery, Google’s data warehouse as a service, is growing in popularity as an alternative to Amazon Redshift. If you’re considering working with BigQuery, you’ll find that accessing the data is quite straightforward.]]></description><link>https://www.alooma.com/blog/the-easiest-way-to-load-a-csv-into-google-bigquery</link><guid isPermaLink="false">the-easiest-way-to-load-a-csv-into-google-bigquery</guid><dc:creator><![CDATA[Yair Weinberger]]></dc:creator><pubDate>Sun, 25 Jun 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Harness the power of Salesforce data]]></title><description><![CDATA[Extract, transform and load your Salesforce data to BigQuery, Redshift or Snowflake]]></description><link>https://www.alooma.com/blog/harness-the-power-of-salesforce-data</link><guid isPermaLink="false">harness-the-power-of-salesforce-data</guid><dc:creator><![CDATA[Babak Salimi]]></dc:creator><pubDate>Wed, 05 Jul 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Alooma’s Roundup of Snowflake’s Cloud Analytics City Tour]]></title><description><![CDATA[Alooma data pipeline service company recaps the 2017 Snowflake Cloud Analytics City Tour]]></description><link>https://www.alooma.com/blog/aloomas-roundup-of-snowflakes-cloud-analytics-city-tour</link><guid isPermaLink="false">aloomas-roundup-of-snowflakes-cloud-analytics-city-tour</guid><dc:creator><![CDATA[Jason Lim]]></dc:creator><pubDate>Tue, 11 Jul 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[How Redash is Helping Alooma Sustain a Data Driven Culture]]></title><description><![CDATA[Alooma and Redash share the same mission: to liberate data and unleash its full potential.]]></description><link>https://www.alooma.com/blog/how-redash-is-helping-alooma-sustain-a-data-driven-culture</link><guid isPermaLink="false">how-redash-is-helping-alooma-sustain-a-data-driven-culture</guid><dc:creator><![CDATA[Dan-ya Shwartz]]></dc:creator><pubDate>Wed, 19 Jul 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Best Practices for Migrating from On-Prem to Cloud]]></title><description><![CDATA[The advantages of migrating to the cloud are very clear and the industry is showing it. According to the IDC Worldwide Quarterly Cloud IT Infrastructure Tracker, deployment in cloud environments will increase by 18.2% in 2017 to $44.2 billion.]]></description><link>https://www.alooma.com/blog/best-practices-for-migrating-data-from-on-prem-to-cloud</link><guid isPermaLink="false">best-practices-for-migrating-data-from-on-prem-to-cloud</guid><dc:creator><![CDATA[Ram Amar]]></dc:creator><pubDate>Thu, 07 Sep 2017 00:00:00 GMT</pubDate></item><item><title><![CDATA[Three Ways to Ingest Data Without a Native Connector ]]></title><description><![CDATA[Three ways to ingest data through Alooma into a cloud data warehouse without a native integration]]></description><link>https://www.alooma.com/blog/three-ways-to-ingest-data-without-a-native-connector</link><guid isPermaLink="false">three-ways-to-ingest-data-without-a-native-connector</guid><dc:creator><![CDATA[Max Zuckerman]]></dc:creator><pubDate>Mon, 30 Oct 2017 07:35:06 GMT</pubDate></item><item><title><![CDATA[Periscope Data Warehouse Now Supported]]></title><description><![CDATA[Alooma supports the new Periscope Data Warehouse as an output.]]></description><link>https://www.alooma.com/blog/periscope-data-warehouse-now-supported</link><guid isPermaLink="false">periscope-data-warehouse-now-supported</guid><dc:creator><![CDATA[Jason Lim]]></dc:creator><pubDate>Tue, 07 Nov 2017 14:14:57 GMT</pubDate></item><item><title><![CDATA[The Best Decisions Come From Real-Time Data]]></title><description><![CDATA[The next evolution of data-driven decisions is real-time data driven decisions. This is how winning businesses of today and the future will compete. For real-time data analysis and decisions to work at scale, they need to be cloud-based, use real-time stream processing and utilize business intelligence tools.]]></description><link>https://www.alooma.com/blog/the-best-decisions-come-from-real-time-data</link><guid isPermaLink="false">the-best-decisions-come-from-real-time-data</guid><dc:creator><![CDATA[Jason Lim]]></dc:creator><pubDate>Mon, 13 Nov 2017 22:01:13 GMT</pubDate></item><item><title><![CDATA[ETL Testing: The Future is Here]]></title><description><![CDATA[The traditional way of building an ETL process was very long with many steps. In this blog, we explain why and how we designed a modern ETL built for the cloud era to handle the explosion of different data sources and streaming in real-time. ]]></description><link>https://www.alooma.com/blog/etl-testing-the-future-is-here</link><guid isPermaLink="false">etl-testing-the-future-is-here</guid><dc:creator><![CDATA[Rami Amar]]></dc:creator><pubDate>Tue, 21 Nov 2017 11:28:37 GMT</pubDate></item><item><title><![CDATA[Optimize Data Throughput with the New Snowflake Snowpipe]]></title><description><![CDATA[Snowpipe uses the COPY command to load the data via a lightweight REST API and can be called asynchronously. For Snowflake users, improves throughput and reliability. ]]></description><link>https://www.alooma.com/blog/optimize-data-throughput-with-the-new-snowflake-snowpipe</link><guid isPermaLink="false">optimize-data-throughput-with-the-new-snowflake-snowpipe</guid><dc:creator><![CDATA[Garrett Alley]]></dc:creator><pubDate>Tue, 28 Nov 2017 14:42:20 GMT</pubDate></item><item><title><![CDATA[Encrypt Private Health and Financial Data in Real-Time]]></title><description><![CDATA[It’s critical for health and financial organizations to protect patient and client data. But with so much data coming in, how do you safeguard it at scale? We’ll show you how you can use the Alooma Code Engine to encrypt all your data in real-time in just two steps. ]]></description><link>https://www.alooma.com/blog/encrypt-private-health-and-financial-data-in-real-time</link><guid isPermaLink="false">encrypt-private-health-and-financial-data-in-real-time</guid><dc:creator><![CDATA[Daniel Ben Yosef & Jason Lim]]></dc:creator><pubDate>Thu, 14 Dec 2017 03:24:51 GMT</pubDate></item><item><title><![CDATA[Migrating Oracle Data to the Cloud ]]></title><description><![CDATA[Migrating Oracle data to the cloud is a complex and lengthy process. In this post, we look at the process and dive into the method of using Oracle LogMiner, which provides a view into the database change log. This is what Alooma uses to continuously replicate all changes to your Oracle data.]]></description><link>https://www.alooma.com/blog/migrating-oracle-data-to-the-cloud</link><guid isPermaLink="false">migrating-oracle-data-to-the-cloud</guid><dc:creator><![CDATA[Rami Amar]]></dc:creator><pubDate>Tue, 19 Dec 2017 23:45:19 GMT</pubDate></item><item><title><![CDATA[Using Alooma to Migrate Oracle Data to the Cloud]]></title><description><![CDATA[In the first post of this two part series, we explained the process and method of migrating Oracle data to the cloud with the Oracle LogMiner. In this second post, we’ll dive into how Alooma’s Oracle integration works so you can avoid the pitfalls of doing it yourself.]]></description><link>https://www.alooma.com/blog/using-alooma-to-migrate-oracle-data-to-the-cloud</link><guid isPermaLink="false">using-alooma-to-migrate-oracle-data-to-the-cloud</guid><dc:creator><![CDATA[Rami Amar]]></dc:creator><pubDate>Wed, 27 Dec 2017 18:10:23 GMT</pubDate></item></channel></rss>