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Tips to Build a Robust Data Lake Infrastructure

DareData

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data. The Data Warehouse(s) facilitates data ingestion and enables easy access for end-users.

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Consulting Case Study: Job Market Analysis

WeCloudData

Furthermore, one cannot combine and aggregate data from publicly available job boards into custom graphs or dashboards. The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard.

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Consulting Case Study: Job Market Analysis

WeCloudData

Furthermore, one cannot combine and aggregate data from publicly available job boards into custom graphs or dashboards. The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard.

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How Rockset Enables SQL-Based Rollups for Streaming Data

Rockset

All data will be indexed in real-time , and Rockset’s distributed SQL engine will leverage the indexes and provide sub-second query response times. But until this release, all these data sources involved indexing the incoming raw data on a record by record basis. That is sufficient for some use cases.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives. While data warehouses contain transformed data, data lakes contain unfiltered and unorganized raw data.

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Data Warehousing Guide: Fundamentals & Key Concepts

Monte Carlo

Cleaning Bad data can derail an entire company, and the foundation of bad data is unclean data. Therefore it’s of immense importance that the data that enters a data warehouse needs to be cleaned. Yes, data warehouses can store unstructured data as a blob datatype. They need to be transformed.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

Within no time, most of them are either data scientists already or have set a clear goal to become one. Nevertheless, that is not the only job in the data world. And, out of these professions, this blog will discuss the data engineering job role. This big data project discusses IoT architecture with a sample use case.