A clean design that always prioritizes the most important messages

As soon as you enter Spark and after configuring all the accounts, you will find a spotless design. This way, you will be able to view all your emails.

By default, the smart inbox will be active. From there, all incoming messages are automatically sorted into notifications and newsletters. Apart from this, all emails that are categorized as important will be listed under these two categories.

You can comfortably enter each of these categories to consult the e-mails that are arriving to you. By default, only those that you have pending to read will be shown. To the left of each of these, a tick will appear when you pass over the message to click on it and mark it as read. As it is built, it will seem that we are facing a list of pending tasks that we must complete in order to have your inbox completely clean.

Organization is their forte.

The list of emails that are being sorted is really intuitive. This is because it automatically detects the sender. It will also display a representative image of the sender. For example, if you have an email from BOFA, at the top you will see the corresponding logo of the bank. In this way it is much easier to locate them. Likewise, to give them more importance and place them at the top of everything, you can categorize them as a priority. It can be either a single mail or a sender. This makes all your messages to be fixed at the top of the inbox.

When we enter a new email we can also find some really interesting options. The first one is the possibility to postpone an email. Ideal option for when you can not check something at a particular time and want to leave it for tomorrow. This way you will receive a notification when you choose to check it again.

An inbox to which you are going to be teaching

Something really characteristic of this email manager is that you are going to teach it little by little with the decisions you make. It is a reality that we all hate the spam that constantly arrives to our mail. In fact, sometimes it can be difficult to unsubscribe from any of the newsletters we have subscribed to. We didn’t even know of their existence.

This with Spark may disappear over time. In fact, as soon as an email comes in from a new sender, you will have to approve or reject it. By approving it, you will allow all future emails from that email address to appear in your inbox. On the contrary, if you will end up blocking it, they will never appear in your inbox. Consequently, you will make them end up in the spam folder or in the trash automatically. This way you will keep only the most important messages for you.

Options when composing new mailings

When creating a new email, the experience is also excellent. In addition to prioritizing cleanliness to be able to write in a comfortable way, the email. In fact, you can also find the possibility of activating different functionalities that are differentiating with respect to those that the competition has as the native application of Mail.

Particularly, you can schedule the sending of any message you are going to send. In addition, you can also schedule a reminder. So, the reminder can be useful when you send a message whose reply is important to you. If you do not receive this reply, the Spark manager itself can send you a reminder. This way you can send a message to the recipient again.

Conclusion

One point to note is that all these functions are free of charge. Except Gatekeeper and mail priority. However, Spark also has a paid version that is focused on workgroups. Especially for those who always need to have a workflow sharing system. But as we say, with the functions offered for free it is more than enough. However, there is one drawback that may bother some people. And it is that if you do not pay, you will have a constant label that says that you are sending mail with Spark and that you will not be able to delete.

To overcome this limitation, you only have to purchase the Premium version for an annual fee of almost $60. However, the free option is more than enough for home users. All right, this is how we have analyzed Spark, a great email manager for Windows. In addition to what we mentioned, there are other features that enrich the user experience. As we mentioned, it is an app that learns from users’ habits. So as you use it, you will discover new things. Besides, it will adapt to your needs. See you later!

The post Spark is a great email manager for Windows appeared first on Linux Windows and android Tutorials.

According to the project website:

Apache Spark is a unified analytics engine for large-scale data processing.

Also, we can count on its maintenance and evolution to be carried out by prestigious working groups, and there will be great flexibility and interconnection with other Apache modules such as Hadoop, Hive, or Kafka.

Spark is used by a wide range of organizations to process large datasets. In fact, Since 2009, more than 1200 developers have contributed to Spark!

Learning Apache Spark is easy whether you come from a Java, Scala, Python, R, or SQL background.

Install Apache Spark on Debian 10

The installation of Apache Spark is quite simple and easier than you might think.

Install some required packages

So, connect via SSH to your server or open a terminal. To make sure there are no problems, update the distribution completely.

sudo apt update
sudo apt upgrade

After that, install Java on Debian 10.

sudo apt install default-jdk
Reading package lists... Done
Building dependency tree       
Reading state information... Done
The following additional packages will be installed:
  ca-certificates-java default-jdk-headless default-jre default-jre-headless fontconfig-config fonts-dejavu-core java-common libasound2 libasound2-data
  libavahi-client3 libavahi-common-data libavahi-common3 libcups2 libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1 libdrm2 libfontconfig1
  libgif7 libgl1 libgl1-mesa-dri libglapi-mesa libglvnd0 libglx-mesa0 libglx0 libjpeg62-turbo liblcms2-2 libllvm7 libnspr4 libnss3 libpciaccess0 libpcsclite1
  libsensors-config libsensors5 libx11-6 libx11-data libx11-xcb1 libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0 libxcb-sync1 libxcb1 libxdamage1
  libxdmcp6 libxext6 libxfixes3 libxi6 libxrender1 libxshmfence1 libxtst6 libxxf86vm1 openjdk-11-jdk openjdk-11-jdk-headless openjdk-11-jre openjdk-11-jre-headless
  x11-common
Suggested packages:
  libasound2-plugins alsa-utils cups-common liblcms2-utils pciutils pcscd lm-sensors openjdk-11-demo openjdk-11-source visualvm libnss-mdns fonts-dejavu-extra
  fonts-ipafont-gothic fonts-ipafont-mincho fonts-wqy-microhei | fonts-wqy-zenhei fonts-indic
Recommended packages:
  libxt-dev libatk-wrapper-java-jni fonts-dejavu-extra
The following NEW packages will be installed:
  ca-certificates-java default-jdk default-jdk-headless default-jre default-jre-headless fontconfig-config fonts-dejavu-core java-common libasound2 libasound2-data
  libavahi-client3 libavahi-common-data libavahi-common3 libcups2 libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1 libdrm2 libfontconfig1
  libgif7 libgl1 libgl1-mesa-dri libglapi-mesa libglvnd0 libglx-mesa0 libglx0 libjpeg62-turbo liblcms2-2 libllvm7 libnspr4 libnss3 libpciaccess0 libpcsclite1
  libsensors-config libsensors5 libx11-6 libx11-data libx11-xcb1 libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-present0 libxcb-sync1 libxcb1 libxdamage1
  libxdmcp6 libxext6 libxfixes3 libxi6 libxrender1 libxshmfence1 libxtst6 libxxf86vm1 openjdk-11-jdk openjdk-11-jdk-headless openjdk-11-jre openjdk-11-jre-headless
  x11-common
0 upgraded, 61 newly installed, 0 to remove and 0 not upgraded.
Need to get 294 MB of archives.
After this operation, 642 MB of additional disk space will be used.
Do you want to continue? [Y/n]

And verify that everything went well by displaying the installed version.

java --version
openjdk 11.0.9.1 2020-11-04
OpenJDK Runtime Environment (build 11.0.9.1+1-post-Debian-1deb10u2)
OpenJDK 64-Bit Server VM (build 11.0.9.1+1-post-Debian-1deb10u2, mixed mode, sharing)

With Java running correctly, it’s time to install the Scala package on Debian 10.

sudo apt install scala

Check the version of Scala to make sure it was installed correctly.

scala -version
Scala code runner version 2.11.12 -- Copyright 2002-2017, LAMP/EPFL

With this, we are done with the Apache Spark dependencies.

Download and install Apache Spark on Debian 10

Now we can download the Apache Spark binary.

So, navigate to the /tmp/ folder and from there with the wget command to perform the download

cd /tmp
wget -c https://archive.apache.org/dist/spark/spark-3.0.2/spark-3.0.2-bin-hadoop2.7.tgz

then decompress it and move it to a safe location such as /opt/.

tar -xvzf spark-3.0.2-bin-hadoop2.7.tgz
sudo mv spark-3.0.2-bin-hadoop2.7/ /opt/spark

To use Apache Spark seamlessly from any location at the prompt, you need to add this path to the .bashrc file

nano ~/.bashrc

At the end of the file, add the following lines:

export SPARK_HOME=/opt/spark
export PATH=$PATH:$SPARK_HOME/bin:$SPARK_HOME/sbin

Save the changes and close the editor. To apply the changes run:

source ~/.bashrc

Now start Apache Spark with these commands, one of which is the master of the cluster

start-master.sh
starting org.apache.spark.deploy.master.Master, logging to /opt/spark/logs/spark-angelo-org.apache.spark.deploy.master.Master-1-osradar.out

And the slave, which in this case will be the same localhost, but you can replace it with the IP address or Domain of the computer.

start-slave.sh spark://localhost:7077
starting org.apache.spark.deploy.worker.Worker, logging to /opt/spark/logs/spark-angelo-org.apache.spark.deploy.worker.Worker-1-osradar.out

Now you can open a web browser and access the web interface via http://your-server:8080.

So, Apache Spark is working properly…

Conclusion

Apache Spark is easy to install on Debian 10 but so powerful that you can hardly believe it. With this tool, you can do a lot of things with a lot of data.

The post How to install Apache Spark on Debian 10 appeared first on Linux Windows and android Tutorials.