Transactional SQL Join operation on Elasticsearch with Pandas

  Create_elasticsearch_stracture Elasticsearch, a dynamic analytical tool, merges storage architecture with a powerful engine to enable rapid full-text scans, delivering results in milliseconds. Distinct from traditional databases, it excels as a non-relational search engine. Organizations seeking the advantages of both transactional databases and Elasticsearch often face data duplication and complex migration processes. It can be […]

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Easy Elastic – Group by Having in Elasticsearch

An example Elasticsearch query and response demonstrate this, noting a non-zero “sum_other_doc_count”, indicating missing countries in the response. Re-running with different sizes is necessary for a complete result. Conversely, composite aggregation offers an actionable indicator, “after_key”, guiding the subsequent value to begin scanning from for complete data.   termByCountry.json An example Elasticsearch query and response […]

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How to Find Duplicates in Elasticsearch – Easy Elastic Part 2

In the realm of technology and data management, a significant portion of a company’s budget is often allocated to data storage and retrieval. A common issue faced by many companies is the presence of duplicate data. By identifying and removing these redundant, outdated, or irrelevant records, organizations can substantially cut costs. Moreover, cleansing data of […]

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Semantic layer on top of primary data

The global business intelligence (BI) market is booming, powered by the pursuit of data-driven insights, with forecasts predicting its growth from $24 billion in 2021 to $43 billion by 2028. However, the value of top-tier BI tools is negligible if the users are unable to interpret the raw data. This underscores the significance of the […]

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