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#DataSources
technology098 · 4 months
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Data preparation tools enable organizations to identify, clean, and convert raw datasets from various data sources to assist data professionals in performing data analysis and gaining valuable insights using machine learning (ML) algorithms and analytics tools. 
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cratosai · 10 months
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Are you struggling to manage your added data sources in your Data Studio account? Don't worry, we've got you covered! In this step-by-step guide, we'll show you exactly how to effectively manage your added data sources in a hassle-free manner: Step 1: Log in to your Data Studio account and click on the "Data Sources" tab on the left-hand side of the screen. Step 2: Once you're on the "Data Sources" page, you'll be able to see all the data sources that you've added to your account. Select the data source that you want to manage. Step 3: You'll now be taken to the data source details page where you can see all the fields that are available for this particular data source. From here, you can make any necessary edits to the data source. Step 4: If you want to remove a data source from your account, simply click on the "Remove" button at the bottom of the page. You'll be prompted to confirm your decision before the data source is permanently deleted from your account. Step 5: Congratulations, you've successfully managed your added data sources in your Data Studio account! Don't forget to check back periodically to keep your data up-to-date and accurate. If you're looking for a tool to make managing your data sources even easier, check out https://bitly.is/46zIp8t https://bit.ly/3JGvKXH, you can streamline your data management process and make informed decisions based on real-time data insights. So, what are you waiting for? Start effectively managing your added data sources today and see the impact it can have on your business!
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infosectrain03 · 10 months
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Electric Trucks Market is expected to reach US$ 26,542.90 Million by 2028
According to our latest market study on “Electric Trucks Market Forecast to 2028 – COVID-19 Impact and Global Analysis – by Propulsion, Vehicle Type, Range, and Level of Automation,” the market is expected to grow from US$ 4,592.55 million in 2021 to US$ 26,542.90 million by 2028; it is estimated to grow at a CAGR of 29.4% from 2022 to 2028.
The Electric Trucks Market Research Reports offers an extensive collection of reports on different markets covering crucial details. The report studies the competitive environment of the Electric Trucks Market is based on company profiles and their efforts on increasing product value and production.
Electric Trucks Market research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including market environment, competitive landscape, historical data, and present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers, and challenges.
Get PDF Sample Copy @ https://www.theinsightpartners.com/sample/TIPRE00025913/
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kirantech · 7 months
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Accessing Component Policies in AEM via ResourceType-Based Servlet
Problem Statement: How can I leverage component policies chosen at the template level to manage the dropdown-based selection? Introduction: AEM has integrated component policies as a pivotal element of the editable template feature. This functionality empowers both authors and developers to provide options for configuring the comprehensive behavior of fully-featured components, including…
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govindhtech · 9 months
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SIEM and threat intelligence: Track emerging threats
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Organizations confront a wide range of cybersecurity dangers as the average cost of a data breach rises to an all-time high of USD $4.45 million in 2023. These dangers might lead to data breaches and range from ransomware assaults to phishing schemes and insider threats. Businesses must employ cutting-edge security measures to safeguard their sensitive data and digital assets as hackers grow more expert and diverse in their approaches. Threat intelligence and Security Information and Event Management (SIEM) systems are two essential components of the current cybersecurity toolkit. By using these tools, companies may remain up to date on emerging risks and mount a proactive defense against enemies and possible assaults.
Understanding threat intelligence and SIEM
Solutions for Security Information and Event Management (SIEM) are essential for preserving an organization’s cybersecurity posture. They gather and examine enormous volumes of security-related data from numerous sources inside the IT architecture of a company. Real-time event log data collection, correlation, and analysis are performed on data from firewalls, antivirus software, users, endpoints, applications, data sources, cloud workloads, and networks. SIEM systems may provide a thorough overview of an organization’s security state by centralizing and linking this data.
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rposervices · 10 months
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salesforcevlocity · 2 years
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SOQL Query DataSource and DataTable Element
SOQL Query DataSource and DataTable Element
Step 1: Create New Flexcard with the Name SampleFlexcard and Click on the Next button Step 2: Choose DataSource SOQL Query and Click next Step 3: Enter your Query in the Query TextArea box. Ex. Select Id, Name from Account. To Order by the query result use options like Order By, Reverse Order .etc. Step 4: Click on Fetch Button to retrieve the query result, and view it in Either Table format…
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bogleech · 1 year
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Okay this is driving me crazy: why the hell is it the “data source” that bothers you all about AI art? That aspect is the irrelevant one to me. The sources are impossible to deduce individually. It’s more obvious where human artists get their inspiration. It’s the concept of auto-generated art itself that’s awful regardless of its dataset. Why does anyone care what it’s scraping from when that’s invisible? I thought we were all on the same page that this is a genuine legitimate case of “technology bad.” It’s a technology that can’t do any good for anyone but lazy, greedy companies. Its existence itself is sad. A “more ethical datasource” won’t change the fact that meaningless pictures created by a nonsapient force will probably outnumber actual artwork some day, isn’t that what’s disgusting?
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mapsontheweb · 1 year
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New Jersey Municipal Retail Cannabis Laws and Licensed Businesses, May 2023
by u/MapsOfNJ
Hello all, this is a map of New Jersey's Municipal Cannabis Laws and Licensed Businesses as of May 2023.
The New Jersey Legislature passed legislation legalizing cannabis that took effect on February 22st, 2021 and created a framework where all of the state's 554 municipalities determined at a town-level whether to prohibit or allow any of  six regulated classes of Cannabis licenses offered in the state. The six classes are Cultivator, Manufacturer, Wholesaler, Distributor, Retailer, and Delivery Service. Only Cultivator, Manufacturer, and Retailer have been licensed so far.
One year in, legal sales began in April 2022 with previously existing medical dispensaries converting to begin Adult-Use Recreational Sales.
By now, the state's municipalities have passed over a collective 1,150 ordinances on Cannabis, creating a patchwork of areas where businesses are allowed or prohibited.
New Jersey's Cannabis Regulatory Commission has licensed 38 Medical-Cannabis Dispensaries, 28 Adult-Use Recreational Dispensaries, and 18 Cultivators & Manufacturer's.
This is an infographic that has been created to chronicle the expansion of this industry. This update sees several new business additions, and a handful of new municipal ordinances.
Datasources: Municipal Ordinance Data: Self-collection
Permitted Businesses: Self-collection, NJ CRC
Software: QGIS, Adobe Illustrator
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start-where-i-end · 2 years
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Screenshots and source I came across on a large discourse post. I think they warrant individual posting.
https://www.cdc.gov/violenceprevention/datasources/nisvs/summaryreports.html
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~ Boulware, Author ~
/* ~BoulwareEnterprises~ http://www.BoulwareEnterprises.com https://about.me/gregory_boulware
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100 total people have visited this profile on Academia. People in 19 countries have visited your profile; The name “G. Boulware” was mentioned in 12 recent papers uploaded to Academia also Mentioned by Professor Stephen William Hawking, Antonio Padilla, Yasunori Fujii, Whyte H Ibidapo, S. M. J. Heijnen-Kohl, Fred R. Volkmar, and several other esteemed scholars, World Wide! Learn About Them! “Academia” https://independent.academia.edu/GregoryVBoulware
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ratboydipshit · 1 year
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i was kind of skeptical about chatgpt code generation but i just had an incredibly fluent (and accurate as far as i can tell) conversation about spring's DataSource "ecosystem". It took me weeks and weeks to learn a lot of this shit and chatgpt just vomits it out on command
#~/
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wotansmusings · 5 days
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Learning Azure Data Factory
This week I finally got a reason to play around in Data Factory and see how data gets transformed from one datasource and placed into another via automated pipelines. I managed to get a brief overview on the important functions of ADF by my senior before he had to run of. I hope I will remember most of it if I have to do more work in ADF.
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The specific task that was appointed to me was to ensure that certain pipelines use a specific amount of cores that we dictate, instead of ADF choosing a random number. Initially I did it via the Azure portal (analyzing the data in one screen and adapting the partitioning of cores in the other) but at some point my senior mentioned that I had another requirement and had to change certain partition numbers. He then advised me to do that by simply doing a find all and change all in the JSON files in the code solution. This saved a lot on time.
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kajol1991 · 1 month
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The Trust Equation: How Self-Service Data Management Builds Trust and Enables Better Decisions
In today's data-driven world, valuable insights often get trapped in isolated silos, hindering informed decision-making. What if there was a way to empower everyone in your organization, regardless of technical background, to leverage the power of data?
Introducing the concept of Self-Service Data Management (SSDM) - the key to unlocking a new era of data-driven decision-making.
SSDM breaks down data barriers, placing the reins in the hands of business users.
Imagine:
Marketing teams crafting data-driven campaigns with real-time customer insights.
Sales reps identifying high-potential leads without relying on IT.
Everyone making data-driven decisions to improve efficiency and agility.
This blog explores the transformative potential of SSDM, including:
The Power of Access: Why Data Democratization is Essential
Strategies for Successful SSDM Implementation
A Glimpse into the Future: The Rise of the Citizen Data Scientist and the Era of Intelligent Automation
Empowering a data-driven culture unlocks a wealth of benefits:
Faster, more agile decision-making
A culture of data ownership and accountability
Enhanced innovation and problem-solving
Improved customer satisfaction and profitability
Don't wait! Read the blog to discover how SSDM can transform your organization.
#datawarehouse #datadrivenculture #analyzedata #datasources #datadrivendecisions #datagovernance #datavisualizations #dataliteracy #dataaccess
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mydailycode · 2 months
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spring banco de dados
Se não precisar de um banco de dados para o seu aplicativo no momento que for rodar, pode desativar a configuração automática do DataSource adicionando a seguinte propriedade ao arquivo application.properties ou application.yml:
spring.autoconfigure.exclude=org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration
08.04.24
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