26%
30.05.2021
native availability of Microsoft SQL Server with a number of performance enhancements. Hirsute Hippo will be supported until February 2022.
Other features include:
Linux kernel 5.11
Hardware
26%
07.01.2014
of space (20 + 25 + 30), with no doubt lots of duplicated data wasting space and money.
The backup world uses a few techniques that differentiate it from replication. The first is called a “full backup
26%
13.12.2018
, a server, MongoDB, and Elasticsearch.
Installation
Prerequisites for the installation of Graylog 2.4 – in this example, under CentOS 7 – are Java version 1.8 or higher, Elasticsearch 5.x [2
26%
08.10.2015
:/etc/smtpd_remote.db
04 listen on 192.0.2.15 inet4 port 25 hostname post.example.org tls pki post
05 listen on 192.0.2.15 inet4 port 587 hostname mail.example.org tls-require pki mail auth tag remote
06 listen
26%
11.10.2016
: [mem 0x000000007b663000-0x000000007b7d2fff] ACPI data
[ 0.000000] BIOS-e820: [mem 0x000000007b7d3000-0x000000007b7fffff] usable
[ 0.000000] BIOS-e820: [mem 0x000000007b800000-0x000000008fffffff
26%
22.09.2016
662fff] ACPI NVS
[ 0.000000] BIOS-e820: [mem 0x000000007b663000-0x000000007b7d2fff] ACPI data
[ 0.000000] BIOS-e820: [mem 0x000000007b7d3000-0x000000007b7fffff] usable
[ 0.000000] BIOS-e820
26%
27.09.2024
download the Windows Server 2022 Security Baseline.zip file. The Policy Analyzer mentioned earlier is delivered to your computer in the PolicyAnalyzer.zip file. The first archive contains various guidelines
26%
04.12.2024
now sports a small FPC ribbon connector exposing a single-lane PCIe 2.0 bus. NVM Express (NVMe) [2] drives connect to the PCIe bus via an M.2 [3] adapter – in this case, to the new M.2 HAT+ released
26%
28.03.2012
are on an IBM DTLA-307020 (20GB drive at Ultra ATA/100)
/home
is on a Seagate ST1360827AS
A 64GB Intel X-25E SSD, courtesy of Intel is mounted as /dev/sdd
ext4 filesystem with the default options
25%
19.09.2019
sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error
from cuml.linear_model import LinearRegression as cuLR
n_samples = 2**20
n_features = 399
# Generate Data
X,y = make_regression(n_samples=n
