1598827080
18 Coursera Courses You can Join in 2020
Hello friends, do you know that apart from having Courses from the world’s reputed universities, Coursera also has online courses from the world’s largest tech companies.
You can join training courses that are taught by Google, IBM, AWS, and other large tech companies and learn from the world’s best instructor. If this seems exciting to you then hang-in and let’s deep dive into 20 best Coursera Coursera from top tech companies.
Here is a list of 20 popular Coursera courses which is taught by top tech companies:
1. Google IT Support from Google
2. Google IT Automation with Python from Google
3. IBM AI Foundations for Business from IBM
4. IBM Data Science from IBM
5. AWS Fundamentals from Amazon Web Services
6. Getting Started with AWS Machine Learning from Amazon Web Services
7. AWS Computer Vision: Getting Started with GluonCV from Amazon Web Services
8. From 0 to N: Architecting on Alibaba Cloud from Alibaba Cloud Academy
9. Cloud Architecture with Google Cloud from Google Cloud
10. Security in Google Cloud Platform from Google Cloud
11. Cloud Engineering with Google Cloud from Google Cloud
12. Deep Learning from deeplearning.ai
#coursera #data-science #aws #cloud-computing #big data
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1594753020
Citrix Bugs Allow Unauthenticated Code Injection, Data Theft
Multiple vulnerabilities in the Citrix Application Delivery Controller (ADC) and Gateway would allow code injection, information disclosure and denial of service, the networking vendor announced Tuesday. Four of the bugs are exploitable by an unauthenticated, remote attacker.
The Citrix products (formerly known as NetScaler ADC and Gateway) are used for application-aware traffic management and secure remote access, respectively, and are installed in at least 80,000 companies in 158 countries, according to a December assessment from Positive Technologies.
Other flaws announced Tuesday also affect Citrix SD-WAN WANOP appliances, models 4000-WO, 4100-WO, 5000-WO and 5100-WO.
Attacks on the management interface of the products could result in system compromise by an unauthenticated user on the management network; or system compromise through cross-site scripting (XSS). Attackers could also create a download link for the device which, if downloaded and then executed by an unauthenticated user on the management network, could result in the compromise of a local computer.
“Customers who have configured their systems in accordance with Citrix recommendations [i.e., to have this interface separated from the network and protected by a firewall] have significantly reduced their risk from attacks to the management interface,” according to the vendor.
Threat actors could also mount attacks on Virtual IPs (VIPs). VIPs, among other things, are used to provide users with a unique IP address for communicating with network resources for applications that do not allow multiple connections or users from the same IP address.
The VIP attacks include denial of service against either the Gateway or Authentication virtual servers by an unauthenticated user; or remote port scanning of the internal network by an authenticated Citrix Gateway user.
“Attackers can only discern whether a TLS connection is possible with the port and cannot communicate further with the end devices,” according to the critical Citrix advisory. “Customers who have not enabled either the Gateway or Authentication virtual servers are not at risk from attacks that are applicable to those servers. Other virtual servers e.g. load balancing and content switching virtual servers are not affected by these issues.”
A final vulnerability has been found in Citrix Gateway Plug-in for Linux that would allow a local logged-on user of a Linux system with that plug-in installed to elevate their privileges to an administrator account on that computer, the company said.
#vulnerabilities #adc #citrix #code injection #critical advisory #cve-2020-8187 #cve-2020-8190 #cve-2020-8191 #cve-2020-8193 #cve-2020-8194 #cve-2020-8195 #cve-2020-8196 #cve-2020-8197 #cve-2020-8198 #cve-2020-8199 #denial of service #gateway #information disclosure #patches #security advisory #security bugs
1599302760
Apache Spark’s Join Algorithms
One of the most frequently used transformations in Apache Spark is Join operation. Joins in Apache Spark allow the developer to combine two or more data frames based on certain (sortable) keys. The syntax for writing a join operation is simple but some times what goes on behind the curtain is lost. Internally, for Joins Apache Spark proposes a couple of Algorithms and then chooses one of them. Not knowing what these internal algorithms are, and which one does spark choose might make a simple Join operation expensive.
While opting for a Join Algorithm, Spark looks at the size of the data frames involved. It considers the Join type and condition specified, and hint (if any) to finally decide upon the algorithm to use. In most of the cases, Sort Merge join and Shuffle Hash join are the two major power horses that drive the Spark SQL joins. But if spark finds the size of one of the data frames less than a certain threshold, Spark puts up Broadcast Join as it’s top contender.
Broadcast Hash Join
Looking at the Physical plan of a Join operation, a Broadcast Hash Join in Spark looks like this
The above plan shows that the data frame from one of the branches broadcasts to every node containing the other data frame. In each node, Spark then performs the final Join operation. This is Spark’s per-node communication strategy.
Spark uses the Broadcast Hash Join when one of the data frame’s size is less than the threshold set in spark.sql.autoBroadcastJoinThreshold. It’s default value is 10 Mb, but can be changed using the following code
spark.conf.set("spark.sql.autoBroadcastJoinThreshold", 100 * 1024 * 1024)
This algorithm has the advantage that the other side of the join doesn’t require any shuffle. If this other side is very large, not doing the shuffle will bring notable speed-up as compared to other algorithms that would have to do the shuffle.
Broadcasting large datasets can also lead to timeout errors. A configuration spark.sql.broadcastTimeout sets the maximum time that a broadcast operation should take, past which the operation fails. The default timeout value is 5 minutes, but it can be set as follows:
spark.conf.set("spark.sql.broadcastTimeout", time_in_sec)
Sort Merge Join
If neither of the data frames can be broadcasted, then Spark resorts to Sort Merge Join. This algorithm uses the node-node communication strategy, where Spark shuffles the data across the cluster.
Sort Merge Join requires both sides of the join to have correct partitioning and order. Generally, this is ensured by** shuffle and sort** in both branches of the join as depicted below
#apache spark #scala #tech blogs #broadcast join #join opertaions #join optimization #joins in spark #shuffled hash join #sort merge join
1598827080
18 Coursera Courses You can Join in 2020
Hello friends, do you know that apart from having Courses from the world’s reputed universities, Coursera also has online courses from the world’s largest tech companies.
You can join training courses that are taught by Google, IBM, AWS, and other large tech companies and learn from the world’s best instructor. If this seems exciting to you then hang-in and let’s deep dive into 20 best Coursera Coursera from top tech companies.
Here is a list of 20 popular Coursera courses which is taught by top tech companies:
1. Google IT Support from Google
2. Google IT Automation with Python from Google
3. IBM AI Foundations for Business from IBM
4. IBM Data Science from IBM
5. AWS Fundamentals from Amazon Web Services
6. Getting Started with AWS Machine Learning from Amazon Web Services
7. AWS Computer Vision: Getting Started with GluonCV from Amazon Web Services
8. From 0 to N: Architecting on Alibaba Cloud from Alibaba Cloud Academy
9. Cloud Architecture with Google Cloud from Google Cloud
10. Security in Google Cloud Platform from Google Cloud
11. Cloud Engineering with Google Cloud from Google Cloud
12. Deep Learning from deeplearning.ai
#coursera #data-science #aws #cloud-computing #big data
1621561800
Your Ultimate Guide to SQL Join: CROSS JOIN
CROSS JOIN is in the spotlight. This article finishes our small series of SQL JOIN-related publications.
SQL Server CROSS JOIN is the simplest of all joins. It implements a combination of 2 tables without a join condition. If you have 5 rows in one table and 3 rows in another, you get 15 combinations. Another definition is a Cartesian Product.
Now, why would you want to combine tables without a join condition? Hang on a bit because we are getting there. First, let’s refer to the syntax.
#sql server #cross join #inner join #outer join #sql join #sql
1597068204
Qualcomm Bugs Open 40 Percent of Android Handsets to Attack
Researchers identified serious flaws in Qualcomm’s Snapdragon SoC and the Hexagon architecture that impacts nearly half of Android handsets.
Six serious bugs in Qualcomm’s Snapdragon mobile chipset impact up to 40 percent of Android phones in use, according research released at the DEF CON Safe Mode security conference Friday.
The flaws open up handsets made by Google, Samsung, LG, Xiaomi and OnePlus to DoS and escalation-of-privileges attacks – ultimately giving hackers control of targeted handsets. Slava Makkaveev, a security researcher with Check Point, outlined his discoveryand said while Qualcomm has provided patches for the bug, most OEM handset makers have not yet pushed out the patches.
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The faulty Qualcomm component is the mobile chip giant’s Snapdragon SoC and the Hexagon architecture. Hexagon a brand name for Qualcomm’s digital signal processor (DSP), part of the SoC’s microarchitecture. DSP controls the processing of real-time request between the Android user environment and the Snapdragon processor’s firmware – in charge of turning voice, video and services such GPS location sensors into computationally actionable data.
Makkaveev said the DSP flaws can be used to harvest photos, videos, call recordings, real-time microphone data, and GPS and location data. A hacker could also cripple a targeted phone or implant malware that would go undetected.
The six flaws are CVE-2020-11201, CVE-2020-11202, CVE-2020-11206, CVE-2020-11207, CVE-2020-11208 and CVE-2020-11209. Using a fuzzing technique against handsets with the vulnerable chipset, Check Point was able to identify 400 discrete attacks.
The prerequisite for exploiting the vulnerabilities is the target would need to be coaxed into downloading and running a rogue executable.
Qualcomm declined to answer specific questions regarding the bugs and instead issued a statement:
“Providing technologies that support robust security and privacy is a priority for Qualcomm. Regarding the Qualcomm Compute DSP vulnerability disclosed by Check Point, we worked diligently to validate the issue and make appropriate mitigations available to OEMs. We have no evidence it is currently being exploited. We encourage end users to update their devices as patches become available and to only install applications from trusted locations such as the Google Play Store.” – Qualcomm Spokesperson
The flaws were brought to Qualcomm’s attention between February and March. Patches developed by Qualcomm in July. A cursory review of vulnerabilities patched in the July and August Google Android Security Bulletins reveal patches haven’t been yet been pushed to handsets. For that reason, Check Point chose not to reveal technical specifics of the flaws.
What technical details that are available can be found in a DEF CON Safe Mode video posted to online. Here Makkaveev shares some technical specifics.
#hacks #mobile security #vulnerabilities #cve-2020-11201 #cve-2020-11202 #cve-2020-11206 #cve-2020-11207 #cve-2020-11208 #cve-2020-11209 #def con safe mode #digital signal processor #dos #dsp #escalation of privileges attack #google #hexagon architecture #lg #oneplus #qualcomm #samsung #snapdragon #soc #xiaomi