Introduction of Data Management
Data platform innovations are adopted, and data management practices evolve. Data warehouses, data lakes, and other data management platforms are increasingly using cloud-native infrastructures. Enterprises combine all types of data into their platforms using scalable data integration pipelines and holistic governance methods. As IT workloads grow, enterprises use cloud-to-edge machine learning to automate monitoring and control of complex data infrastructures.
This blog discusses 2022 data management. Every application needs data management. Every modern business must be able to manage this priceless asset.
Data vendors’ money in cloud data lake houses
The Snowflake IPO in late 2020 boosted venture capitalists’ interest in cloud data technologies, fueling early 2021 activity. Dremio, a Platform for data lake querying, raised $135 million for its technology, which allows businesses to query data in data lakes more efficiently.
Starburst raised $100 million days later. Starburst supports Trino, an open-source data query platform formerly called PrestoSQL until 2021.Starburst and Dremio raised money and developed technology to enable enterprises to use cloud data lakes for data analytics and business intelligence.
Databricks, which created the data lake house concept, benefited most from cloud data lakes. A data lake house is a cloud-based data warehouse. Databricks raised $1.6 billion in august 2021, including the largest data vendor venture round.
Data streaming demand rises
Demand for event data and streaming continued in 2021.Apache Kafka is a popular technology, and its commercial sponsor, Confluent, has had success. Confluent’s NASDAQ IPO in June marked a milestone in the vendor’s expansion and demand for “data in motion.”
Kafka helps organizations use real-time data, which is complex and large. In 2021, Confluent’s open-source hsqlDB project integrates Kafka data with data queries. Materialize is developing a cloud-based streaming database that can manage Kafka sources. In 2021, Kafka lacks an open-source event streaming solution.
Serverless cloud moves database vendors
DBaaS started before 2021, but changed dramatically that year. Previously, DBaaS vendors mainly offered database technologies, but enterprises still managed compute and storage. 2021 saw a rise in serverless DBaaS, which doesn’t require enterprises to have fixed cloud deployments with defined computing and storage resources. Serverless DBaaS promises businesses a service that uses only the resources they need.
In 2021, several companies released serverless DBaaS solutions, including DataStax Astra in February, PlanetScale in May, and Couchbase Capella and CockroachDB in October. On-premises data will persist for some time, but event streaming, DBaaS, and cloud data lakes will expand in 2021.
The cloud will be the default data solution in 2021 and beyond. Snowflake helps companies grow with its data management software. Take this online Snowflake Training course from industry experts to learn how to use Snowflake.
Conclusion
This blog explains how data management engine platforms increase business revenues. Cloud technologies are making money for data vendors, and DBaaS systems are driving the growth of data lake houses. This blog should help you transform your business.