BigDATAwire covers the tools, technologies, and techniques that unlock value from big data, as well as the people and communities that develop and use them. Today’s data science, advanced analytics, and AI offerings have evolved quickly, but effective data management remains a bottleneck for many organizations, especially when it comes to ensuring privacy, security, and governance in line with emerging regulations.
Coverage Areas Include (But are Not Limited To):
- Heavy focus on the data management side of the big data equation, including data lakes and lakehouses, NoSQL and relational databases, object stores and warehouses, ETL/ELT pipelines, stream data processing, data observability, data mesh/fabric, MLOps, and in-memory data grids.
- Strong focus on emerging open source tools and ecosystems for big data, including Apache Spark, Apache Kafka, Apache Flink, Elastic, Apache Hadoop, Presto/Trino, and Python/Anaconda; third-party tools for advanced analytics and data science; and languages such as R, Python, and SAS.
- Close coverage of infrastructure trends for on-prem, cloud, and edge, including the latest development in systems, processors, memory, storage, and networking.
- Strong coverage of successful data cultures and data team-building; employment trends and job titles; academic big data initiatives and training opportunities; and the impact of government and industry regulation like GDPR and CCPA.
