Systems | Development | Analytics | API | Testing

Introducing pipe syntax in BigQuery and Cloud Logging

Oct 15, 2024 By Google BigQuery In Google BigQuery
Writing complex SQL queries can be challenging, but BigQuery's new pipe syntax offers a more intuitive way to structure your code. Learn how pipe syntax simplifies both exploratory analysis and complex log analytics tasks, helping you gain insights faster. Watch along and discover how to leverage pipe syntax in BigQuery for a more efficient analytics experience. Chapters: Speaker: Jeff Nelson Products Mentioned: Cloud - Data Analytics - BigQuery.
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chaossearch

Optimize Your AWS Data Lake with Streamsets Data Pipelines and ChaosSearch

Oct 11, 2024 By Sandro Lima In ChaosSearch
Many enterprises face significant challenges when it comes to building data pipelines in AWS, particularly around data ingestion. As data from diverse sources continues to grow exponentially, managing and processing it efficiently in AWS is critical. Without these capabilities, it’s harder to analyze and get any meaning from your data.
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bugfender

Optimize your iOS app perfomance using MetricKit

Oct 10, 2024 By Sachin Siwal In Bugfender
For iPhone and iPad app development, one of the main aspects is the app’s performance. Performance is about your application not crashing, but also how quickly and smoothly it can carry out its functions when users interact with it. An application whose functions consume a lot of battery life, or an application that doesn’t like to wait too long until it finishes whatever it wants to do, can lead to users uninstalling the app.
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bugfender

Understanding Kotlin Generics: A Complete Guide for Developers

Oct 3, 2024 By Sachin Siwal In Bugfender
Kotlin Generics are a way to use generics in Kotlin that have type parameters specified to their usage. This powerful tool defines code components so that they will work with any data type in a flexible and reusable manner – and the main advantage of Kotlin Generics is how they are statically-typed.
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chaossearch

5 Ways to Approach Data Analytics Optimization for Your Data Lake

Sep 26, 2024 By Thomas Hazel In ChaosSearch
While data lakes make it easy to store and analyze a wide variety of data types, they can become data swamps without the proper documentation and governance. Until you solve the biggest data lake challenges — tackling exponential big data growth, costs, and management complexity — efficient and reliable data analytics will remain out of reach.
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Data AI Summit | Expanding Log Analytics and Threat Hunting Natively in Databricks

Sep 26, 2024 By ChaosSearch In ChaosSearch
ChaosSearch + Databricks Deliver on the best of Databricks (open Spark-based data lakehouse) and ELK (efficient search, flexible live ingestion, API/UI) via ChaosSearch on Databricks. Log analytics for observability / security with unlimited retention at a fraction of the cost now with Databricks’ AI/ML. Watch as ChaosSearch CEO, Ed Walsh, shares the power of ChaosSearch in your Databricks environment.
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chaossearch

5 Challenges Querying Data in Databricks + How to Overcome Them

Sep 19, 2024 By David Bunting In ChaosSearch
Databricks is lighting the way for organizations to thrive in an increasingly AI-driven world. The Databricks Platform is built on lakehouse architecture, empowering organizations to break down existing data silos, store enterprise data in a single centralized repository with unified data governance powered by Unity Catalog, and make the data available to a variety of user groups to support diverse analytics use cases.
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