Comet 180

BI & ETL
This course will help you to become an BI & ETL Developer Using Informatica power center & POWER BI.

agenda:
1-Course introduction
2-SQL and Advanced SQL
2-power center overview
3-Mapping fundamental
4-workflow basic
5-Expression and Filter transformation
5-Joining and Merging data
6-Lookup transformation
7-Sorter and aggregator transformation
8-Updating target tables
9-Mapping technique
10-Mapplets and Worklets
11-controlling workflow
12-Mapping design workshop
13-Workflow design workshop
14-Mapping Parameters
15-Java transformation and Advanced functions
16-Normalization and Denormalization
17-SP
18-Workflow and Task Recovery
19-Command line utilities
20-performance tuning
21-slowely changing dimension
22- introduction to DWH
23: - PowerBI
24: - CV Design

TO APPLY PLEASE FILL THE FORM

BI & ETL DEVELOPER

FREE SQL SESEEIONS FROM BEGIN TO ADV

السلام عليكم.
ان شاء الله هيبقي في مجموعه من sessions هنشرح فيهم SQL البدايه هتكون غدا السبت ان شاء الله لكل المهتمين بمجالات الداتا ولكل اللي نفسهم يدخلوا في احد المجالات الاتيه :-
Data analysis
Business intelligence
Data Engineer
Data science
Data integration
ETL

to attend please fill the form :-
https://docs.google.com/forms/d/e/1FAIpQLSeicq4yBuMhdTZNanijWqsIDiC0LCPKqpy_wYwCHqmvQ4vgMA/viewform?vc=0&c=0&w=1&flr=0

and join WhatsApp group
https://chat.whatsapp.com/L00NDm0oqrRBFiVoc4fwYa

You are welcome.
Comet180

Comet180 SQL Course Your Own Career FB:-https://www.facebook.com/profile.php?id=100086120443912 LINKEDIN:-https://www.linkedin.com/company/comettt/

Comet180 Start your own career

Comet 180 START YOUR OWN CAREER
هدفها انها تكون Guide للناس الي حابه تبتدي الكارير بتاعها خطوه بخطوه في التراكات التاليه:-
• Cyber security
• Business intelligence
• Data analysis
• Informatica power center and Informatica data quality (ETL)

لاحظنا في الفتره الاخيره ان في طلبه وخريجين بيبدأو في المجال اللي بيحبوه ومش بيقدرو يكملوا احنا في Comet180 هنبقي معاك خطوه بخطوه لحد ما تشتغل.

Comet180 هتقدملك ايه

١-لو محتاج instructor يتابع معاك خطوه بخطوه ويحطلك plan ويبقي في Session اسبوعيه يتابع معاك اللي ذاكرته ويجهزك للمقابلات ويساعدك في المشاريع و تجهيز cv وهيفضل معاك لحد ما تشتغل هنقدر نوفرلك ده بمبلغ رمزي بسيط جدا جدا جدا جدا جدا

2-لو محتاج instructor يتابع معاك خطوه بخطوه ويحطلك plan ويبقي في Session اسبوعيه يتابع معاك اللي ذاكرته ويشرحلك اي ماده مش قادر تستوعبها ومش قادر تحصلها ويجهزك للمقابلات ويساعدك في المشاريع و تجهيز cv وهيفضل معاك لحد ما تشتغل هنقدر نوفرلك ده بمبلغ رمزي بسيط جدا جدا جدا جدا جدا .

3-لو محتاج كورس كامل هنقدر نوفرلك الخدمه دي وبردو بمبلغ رمزي .

Cyber security
Business intelligence
Data analysis
Informatica power center and IDQ (ETL)

لو عايز تعرف تفاصيل كل كورس تقدر تملي الفورم دي وهيتم التواصل معاك وتقدر تتواصل معانا من خلال رسايل الصفحه

Comet180 Start your own career

What is a SOC team?
A security operations center — commonly referred to as a SOC — is a team that continuously monitors and analyzes the security procedures of an organization. It also defends against security breaches and actively isolates and mitigates security risks.

There are five key roles on a SOC team:

1- Security analysts are cybersecurity first responders. They report on cyberthreats and implement any changes needed to protect the organization. They’re considered the first line of defense against cybersecurity threats, work alongside security managers and cybersecurity engineers, and usually report to the CISO..
We can classify the analysts to three roles

- Tier 1 Analyst (Alert Investigator)
Monitors SIEM alerts, manages and configures security monitoring tools. Prioritizes and triages alerts or issues to determine whethera real security incident is taking place

- Tier 2 Analyst (Incident Responder)
Receives incidents and performs deep analysis; correlates with threat intelligence to identify the threat actor, nature of the attack, and systems or data affected. Defines and executes on strategy for containment, remediation, and recovery.

- Tier 3 Analyst (Subject Matter or Expert/Threat Hunter)
Day-to-day, conducts vulnerability assessments and pe*******on tests, and reviews alerts, industry news, threat intelligence, and security data. Actively hunts for threats that have madetheir way into the network, as well as unknown vulnerabilities and security gaps. When a major incident occurs, teams with the Tier 2 Analyst in responding to and containing it.

2- Security engineers are usually software or hardware specialists, and are in charge of maintaining and updating tools and systems. They are also responsible for any documentation that other team members might need, such as digital security protocols.

3- The SOC manager is responsible for the SOC team. They direct SOC operations and are responsible forsyncing between analysts and engineers; hiring; training; and creating and executing on cybersecurity strategy. They also directand orchestrate the company’s response to major security threats.

4- The chief information security officer (CISO) is a leadership position responsible for establishing security-related strategies, policies, and operations. They workclosely with the CEO, and inform and report to management on security issues.

You can read more
https://www.exabeam.com/security-operations-center/security-operations-center-roles-and-responsibilities/

ETL (Extract, Transform, Load)

ETL, which stands for extract, transform and load, is a data integration process that combines data from multiple data sources into a single, consistent data store that is loaded into a data warehouse or other target system.

ETL provides the foundation for data analytics and machine learning workstreams. Through a series of business rules, ETL cleanses and organizes data in a way which addresses specific business intelligence needs, like monthly reporting, but it can also tackle more advanced analytics, which can improve back-end processes or end user experiences. ETL is often used by an organization to:
-Extract data from legacy systems
-Cleanse the data to improve data quality and establish
consistency
-Load data into a target database

How ETL works?
The easiest way to understand how ETL works is to understand what happens in each step of the process.

Extract
During data extraction, raw data is copied or exported from source locations to a staging area. Data management teams can extract data from a variety of data sources, which can be structured or unstructured. Those sources include but are not limited to:
-SQL or NoSQL servers
-CRM and ERP systems
-Flat files
-Email
-Web pages

Transform
In the staging area, the raw data undergoes data processing. Here, the data is transformed and consolidated for its intended analytical use case. This phase can involve the following tasks:
Filtering, cleansing, de-duplicating, validating, and authenticating the data.
Performing calculations, translations, or summarizations based on the raw data. This can include changing row and column headers for consistency, converting currencies or other units of measurement, editing text strings, and more.
Conducting audits to ensure data quality and compliance
Removing, encrypting, or protecting data governed by industry or governmental regulators
Formatting the data into tables or joined tables to match the schema of the target data warehouse.

Load
In this last step, the transformed data is moved from the staging area into a target data warehouse. Typically, this involves an initial loading of all data, followed by periodic loading of incremental data changes and, less often, full refreshes to erase and replace data in the warehouse. For most organizations that use ETL, the process is automated, well-defined, continuous and batch-driven. Typically, ETL takes place during off-hours when traffic on the source systems and the data warehouse is at its lowest.

What is business intelligence?
Business intelligence (BI) is software that ingests business data and presents it in user-friendly views such as reports, dashboards, charts and graphs. BI tools enable business users to access different types of data — historical and current, third-party and in-house, as well as semi-structured data and unstructured data like social media. Users can analyze this information to gain insights into how the business is performing.

Why business intelligence is important?
Business intelligence gives organizations the ability to ask questions in plain language and get answers they can understand. Instead of using best guesses, they can base decisions on what their business data is telling them — whether it relates to production, supply chain, customers or market trends.

Business intelligence best practices
Organizations benefit when they can fully assess operations and processes, understand their customers, gauge the market, and drive improvement. They need the right tools to aggregate business information from anywhere, analyze it, discover patterns and find solutions.

The best BI software supports this decision-making process by:

Connecting to a wide variety of different data systems and data sets including databases and spreadsheets.
Providing deep analysis, helping users uncover hidden relationships and patterns in their data.
Presenting answers in informative and compelling data visualizations like reports, maps, charts and graphs.
Enabling side-by-side comparisons of data under different scenarios.
Providing drill-down, drill-up and drill-through features, enabling users to investigate different levels of data.

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