GetInData | Part of Xebia(@getindata) 's Twitter Profileg
GetInData | Part of Xebia

@getindata

Experienced and passionate Big Data consultants with proven track of records. Founded by former Spotify Big Data engineers and administrators in 2014.

ID:2430894061

linkhttps://getindata.com calendar_today06-04-2014 19:07:36

661 Tweets

270 Followers

86 Following

GetInData | Part of Xebia(@getindata) 's Twitter Profile Photo

Amazon DocumentDB's zero-ETL integration with Amazon OpenSearch Service simplifies your data architecture and boosts search capabilities. Read about the setup process, making advanced search analytics effortless.
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João explores by revisiting the challenge of processing Brazilian electronic ballot box logs to calculate vote-time metrics, providing a benchmark for performance and user experience.
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This post covers how attribute-based instance selection improved Yelp's autoscaling and their switch from Clusterman to Karpenter.
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This post will guide you through setting up GPT-4o with WrenAI to query your PostgreSQL database, enhancing your data retrieval process with faster responses and cost efficiency.
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Watch Benjamin Rogojan's video on the importance of data quality and how to implement checks like anomaly detection and data freshness to ensure reliable .
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It’s a free online course about real-life applications of . In 10 weeks you will learn how to build an bot that can answer questions about your knowledge base.
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Explore the benefits and challenges of Dimensional Modeling versus One Big Table, and learn best practices for implementing these techniques on Databricks.
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Read how the dbt-flink-adapter transforms data streaming by integrating dbt's SQL models with Flink SQL, improving analytics, streamlining data job management, and boosting workflow efficiency.
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See how GlossGenius improved productivity and efficiency by migrating from dbt Cloud to dbt-core and integrating Apache Airflow and GitHub Actions.
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Explore the Adopter Analysis framework for measuring the impact of changes in e-commerce subscription businesses when A/B testing isn't possible.
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Discover how OpenLineage sets a new standard for data lineage in batch and streaming with insights into IBM, Google, Confluent, and Collibra data governance solutions.
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The next part of takeaways from selected topics presented during the Big Data Tech Warsaw Summit ‘24. In the first part, which you can read here, we shared insights from the Spotify, Dropbox, Ververica, Hellofresh and Agile Lab case studies.
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In this one, Mikkel explores how transforms roles within data teams, using real-world examples like Klarna's AI-driven customer service success to illustrate the impact.
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This article discusses the advantages and challenges of using Connect, including practical solutions for common issues and examples with Debezium's Postgres Connector and Confluent's JDBC Sink Connector.
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This post outlines strategies for constructing a resilient ingestion and ETL/ELT process to facilitate seamless data delivery for our data platform.
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This guide explores Llama3's advanced features and compares them to industry leaders. It also provides practical steps for deploying it on a single GPU, underscoring the growing significance of open-source models in AI.
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In this video, you'll learn how to build a comprehensive Real Estate data engineering pipeline, covering everything from data gathering and ingestion to processing and storage.
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Hagay introduces DBRX, an innovative open LLM that merges quality with cost-effectiveness for AI. He discusses improving AI performance using high-quality training data and a mixture-of-experts model, particularly for coding and math tasks.
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Let's explore how cloud technology has transformed data management in today’s AI-driven era. The podcast discusses modern practices like data change detection, data contracts, and CI/CD tests.
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The AI Research Team introduces Arctic, a top-tier enterprise-focused that pushes the frontiers of cost-effective training and openness.
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