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LAKE

Data Lake Preis

LAKE
#7836

$0,00004082

-6,1%

฿0

Marktkapitalisierung
$67,94K
FDV
$102,05K
Volumen 24 Std.
$82,68
Vol/Mkt Kap 24h
0,12%
Gesamtangebot
2,500,000,000
Umlaufmenge
1,664,464,320

Kontrakte

Contract

0xf9c...c400

Webseite

data-lake.co

API ID

data-lake

Community

Explorer

Preisänderung

24h

Niedrig

Hoch

1h Änderung

-0,19%

24h Änderung

-6,1%

7d Änderung

-12,43%

Allzeithoch

$0,04782

Feb 28, 2024

-99,91%

Allzeittief

$0,00003405

Oct 20, 2026

+19,89%

Der Preis von Data Lake liegt bei $0,00004082, runter -6.10% in den letzten 24 Stunden, und die Live-Marktkapitalisierung beträgt $67.944. Das zirkulierende Angebot beträgt 1,664,464,320 LAKE Coins, das maximale Angebot 2,500,000,000 LAKE , bei einem 24h-Handelsvolumen von $82,68 .

Preis
Marktkapitalisierung
Verfügbare Menge














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Krypto-Konverter

LAKE

LAKE

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Über Data Lake

What is a Coin?

A coin is a digital asset designed to work as a medium of exchange that uses cryptography to secure its transactions, control the creation of additional units, and verify the transfer of assets. Coins are also known as cryptocurrencies, digital tokens, or virtual currencies. The most popular coins include Bitcoin, Ethereum, Ripple, Litecoin, and Dogecoin. Coins are created through a process called mining in which computers solve complex mathematical problems to create new coins.

Data lakes are large repositories of data stored in its native format for later use. Data lakes allow organizations to store all their data—structured and unstructured—in one place for easier access and analysis. Data can be stored in various formats such as text files, images, audio files, video files and more. Data lakes make it easier for organizations to analyze large amounts of data quickly and efficiently without having to convert it into another format.

Data lakes provide organizations with an efficient way to store vast amounts of data from multiple sources in one place. This makes it easier for businesses to gain insights from their data by allowing them to query the data lake using analytics tools such as Hadoop or Spark. Additionally, data lakes enable organizations to perform predictive analytics on their data sets by leveraging machine learning algorithms.

Data lakes offer numerous benefits including cost savings due to reduced storage costs; improved scalability; faster access times; better security; improved collaboration between departments; and better decision-making capabilities due to increased visibility into the organization’s data.

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