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Data Lakes Market size was valued at USD 17.21 Billion in 2024 and is projected to reach USD 79.09 Billion by 2031, growing at a CAGR of 21.00% during the forecasted period 2024 to 2031.
The data lakes market is driven by the growing need for organizations to manage and analyze vast amounts of unstructured and structured data for better decision-making and insights. As businesses increasingly rely on big data analytics, machine learning, and artificial intelligence to gain competitive advantages, data lakes provide a scalable and cost-effective solution to store raw data from diverse sources. The rising adoption of cloud-based solutions further fuels the market, as cloud data lakes offer flexibility, agility, and seamless integration with analytics tools. Additionally, the growing emphasis on digital transformation, real-time data processing, and enhanced data governance are key factors pushing the demand for data lakes across industries such as finance, healthcare, retail, and manufacturing.
The revenue of Great Lakes Dredge & Dock with headquarters in the United States amounted to 589.62 million U.S. dollars in 2023. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2019 this is a total decrease by approximately 121.9 million U.S. dollars. The trend from 2019 to 2023 shows, however, that this decrease did not happen continuously.
Lake District revenues record one of the primary means of action available to lake districts. These districts are a form of special purpose district created by the state of Wisconsin in the early 1970s to address the specific problems of lake mangement not being addressed by existing governmental capacities. These districts are by statute granted the authority to levy property taxes, special assessments, special charges and delinquent charges against property owners within their geographic boundaries. This fund-raising authority gives to lake districts a capacity not only to raise substantial funds but to do so consistently over time, thereby alloting to them a practical capacity not readily available to other groups (such as lake associations) involved in lake management. Data are from years 1992 - 1996. Sampling Frequency: annually Number of sites: 190
Thirty-four percent of respondents stated that their organization had fully implemented data modernization technology such as Hadoop data lakes, while an additional 50 percent stated that their organization was currently in the implementation process, but had not yet completed their data modernization. The financial services industry is the frontrunner, with about 90 percent respondents from this industry stating that their organization had been in the process of modernizing their data.
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License information was derived automatically
Context
The dataset tabulates the Sylvan Lake median household income by race. The dataset can be utilized to understand the racial distribution of Sylvan Lake income.
The dataset will have the following datasets when applicable
Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
Explore our comprehensive data analysis and visual representations for a deeper understanding of Sylvan Lake median household income by race. You can refer the same here
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Context
The dataset presents the distribution of median household income among distinct age brackets of householders in Turtle Lake town. Based on the latest 2018-2022 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Turtle Lake town. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.
Key observations: Insights from 2022
In terms of income distribution across age cohorts, in Turtle Lake town, the median household income stands at $104,311 for householders within the 25 to 44 years age group, followed by $82,080 for the 45 to 64 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $49,894.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.
Age groups classifications include:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Turtle Lake town median household income by age. You can refer the same here
This statistic shows the median household income in Salt Lake City, Utah in the United States from 2010 to 2021. In 2021, the median household income in Salt Lake City was 66,658 U.S. dollars.
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Data Lakes Market size was valued at USD 17.21 Billion in 2024 and is projected to reach USD 79.09 Billion by 2031, growing at a CAGR of 21.00% during the forecasted period 2024 to 2031.
The data lakes market is driven by the growing need for organizations to manage and analyze vast amounts of unstructured and structured data for better decision-making and insights. As businesses increasingly rely on big data analytics, machine learning, and artificial intelligence to gain competitive advantages, data lakes provide a scalable and cost-effective solution to store raw data from diverse sources. The rising adoption of cloud-based solutions further fuels the market, as cloud data lakes offer flexibility, agility, and seamless integration with analytics tools. Additionally, the growing emphasis on digital transformation, real-time data processing, and enhanced data governance are key factors pushing the demand for data lakes across industries such as finance, healthcare, retail, and manufacturing.