09:15 – 09:30
Gathering
The training takes place at Vana-Lõuna 39/1, Tallinn, IT Training premises. You can park in the Europark car park at Veerenni 36, EP63.
Kestus:
8 akadeemilist tundi
Toimumiskoht:
IT Koolitus
During this one-day course students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will also explore the roles, tasks, and responsibilities in the world of data. The students will review relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will study the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. In addition students will learn what Power BI is, including its building blocks and how they work together.
Target audience:
The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.
Job role: Data Engineer, Database Administrator
Preparation for exam: DP-900
Features: none
After completing this course, students will be able to:
Prerequisites to the course (recommended):
Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.
Specifically:
Training Principles:
The training is held in Estonian!
Each learning module is supported by practical exercises with hands-on laboratories.
The prerequisite for issuing the certificate is full participation in training.
Length: 8 academic hours
Koolituse läbiviimise põhimõtted:
Koolitus toimub eesti keeles!
Koolituse osad on toetatud praktiliste harjutustega õpilaborites.
Tunnistuse väljastamise eelduseks on koolitusel osalemine terves mahus.
Maht: 8 akadeemilist tundi
Continuing Education Curriculum Group: 0688 Information and Communication Technology Interdisciplinary curriculum group
The training topics and description:
Module 1: Explore core data concepts
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.
Module 2: Explore relational data in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.
Module 3: Explore non-relational data in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore non-relational data services, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.
Module 4: Explore modern data warehouse analytics in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
More detailed information about the training/ Täpsemat infot koolituse kohta saad:
https://docs.microsoft.com/en-us/learn/certifications/courses/dp-900t00
The training price also includes:
As an added value, we offer:
IT training is a cooperation partner of the Estonian Unemployment Insurance Fund's training card.
We also recommend that you get acquainted with the in-service training grants offered by the Unemployment Insurance Fund to employers: the training allowance for employers and the reimbursement of the employee's training expenses to the employer.
See you at training!
Koolituskogemus ja valdkonnad Henn koolitab IT Koolituses juba üle 25 aasta. Koolituskogemus oli tal ka varem – jagas paar aastat teadmisi Novelli administraatoritele. IT Koolituses on ta keskendunud peamiselt (aga mitte ainult) Microsofti toodetele, seda nii tavakasutajatele (Excelist Visioni) kuni süsteemiadministraatorite ja programmeerijateni. Peamiselt siiski kõik, mis puudutab andmebaase (SQL) ja ärianalüüsi (BI, Excel).
Tugevused koolitajana
Hoolimata sellest, et Henn on 25+ aastat klassi ees seisnud, ei ole ta kaotanud sidet igapäevase eluga: vahepeal on ta loonud arendusettevõtte ja jõudnud selle maha müüa; on konsulteerinud ja juurutanud süsteeme mitmes ettevõttes, peab talu ja korraldab sulgpallivõistlusi. Pidev side tegeliku eluga on see, mis aitab Hennul olla ekspert ja usaldusväärne allikas ka teadmiste jagamisel. Hennu enda õppimisvõime ja üle 60 sooritatud erialaeksami võimaldab õppijaid suurepäraselt mõista ning on tugevuseks ka koolitajana.
Sertifikaadid ja tunnistused
Koolituskogemus ja valdkonnad Henn koolitab IT Koolituses juba üle 25 aasta. Koolituskogemus oli tal ka varem – jagas paar aastat teadmisi Novelli administraatoritele. IT Koolituses on ta keskendunud peamiselt (aga mitte ainult) Microsofti toodetele, seda nii tavakasutajatele (Excelist Visioni) kuni süsteemiadministraatorite ja programmeerijateni. Peamiselt siiski kõik, mis puudutab andmebaase (SQL) ja ärianalüüsi (BI, Excel).
Tugevused koolitajana
Hoolimata sellest, et Henn on 25+ aastat klassi ees seisnud, ei ole ta kaotanud sidet igapäevase eluga: vahepeal on ta loonud arendusettevõtte ja jõudnud selle maha müüa; on konsulteerinud ja juurutanud süsteeme mitmes ettevõttes, peab talu ja korraldab sulgpallivõistlusi. Pidev side tegeliku eluga on see, mis aitab Hennul olla ekspert ja usaldusväärne allikas ka teadmiste jagamisel. Hennu enda õppimisvõime ja üle 60 sooritatud erialaeksami võimaldab õppijaid suurepäraselt mõista ning on tugevuseks ka koolitajana.
Sertifikaadid ja tunnistused
09:15 – 09:30
Gathering
The training takes place at Vana-Lõuna 39/1, Tallinn, IT Training premises. You can park in the Europark car park at Veerenni 36, EP63.
09:30 – 11:00
I module
11:00 – 11:15
Coffee break
11:15 – 12:45
II module
12:45 – 13:30
Lunch
13:30 – 15:00
III module
15:00 – 15:15
Coffee break
15:15 – 16:45
IV module
Kestus:
8 akadeemilist tundi
Toimumiskoht:
IT Koolitus
During this one-day course students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Microsoft Azure. They will also explore the roles, tasks, and responsibilities in the world of data. The students will review relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will explore non-relational data offerings, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure. Students will study the processing options available for building data analytics solutions in Azure. They will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. In addition students will learn what Power BI is, including its building blocks and how they work together.
Target audience:
The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure.
Job role: Data Engineer, Database Administrator
Preparation for exam: DP-900
Features: none
After completing this course, students will be able to:
Prerequisites to the course (recommended):
Prerequisite certification is not required before taking this course. Successful Azure Data Fundamentals students start with some basic awareness of computing and Internet concepts, and an interest in extracting insights from data.
Specifically:
Training Principles:
The training is held in Estonian!
Each learning module is supported by practical exercises with hands-on laboratories.
The prerequisite for issuing the certificate is full participation in training.
Length: 8 academic hours
Koolituse läbiviimise põhimõtted:
Koolitus toimub eesti keeles!
Koolituse osad on toetatud praktiliste harjutustega õpilaborites.
Tunnistuse väljastamise eelduseks on koolitusel osalemine terves mahus.
Maht: 8 akadeemilist tundi
Continuing Education Curriculum Group: 0688 Information and Communication Technology Interdisciplinary curriculum group
The training topics and description:
Module 1: Explore core data concepts
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will identify and describe core data concepts such as relational, non-relational, big data, and analytics, and explore how this technology is implemented with Azure. Students will explore the roles, tasks, and responsibilities in the world of data.
Module 2: Explore relational data in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore relational data offerings, provisioning and deploying relational databases, and querying relational data through cloud data solutions with Azure.
Module 3: Explore non-relational data in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore non-relational data services, provisioning and deploying non-relational databases, and non-relational data stores with Microsoft Azure.
Module 4: Explore modern data warehouse analytics in Azure
Students will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Azure. Students will explore the processing options available for building data analytics solutions in Azure. Students will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. Students will learn what Power BI is, including its building blocks and how they work together.
More detailed information about the training/ Täpsemat infot koolituse kohta saad:
https://docs.microsoft.com/en-us/learn/certifications/courses/dp-900t00
The training price also includes:
As an added value, we offer:
IT training is a cooperation partner of the Estonian Unemployment Insurance Fund's training card.
We also recommend that you get acquainted with the in-service training grants offered by the Unemployment Insurance Fund to employers: the training allowance for employers and the reimbursement of the employee's training expenses to the employer.
See you at training!
Koolituskogemus ja valdkonnad Henn koolitab IT Koolituses juba üle 25 aasta. Koolituskogemus oli tal ka varem – jagas paar aastat teadmisi Novelli administraatoritele. IT Koolituses on ta keskendunud peamiselt (aga mitte ainult) Microsofti toodetele, seda nii tavakasutajatele (Excelist Visioni) kuni süsteemiadministraatorite ja programmeerijateni. Peamiselt siiski kõik, mis puudutab andmebaase (SQL) ja ärianalüüsi (BI, Excel).
Tugevused koolitajana
Hoolimata sellest, et Henn on 25+ aastat klassi ees seisnud, ei ole ta kaotanud sidet igapäevase eluga: vahepeal on ta loonud arendusettevõtte ja jõudnud selle maha müüa; on konsulteerinud ja juurutanud süsteeme mitmes ettevõttes, peab talu ja korraldab sulgpallivõistlusi. Pidev side tegeliku eluga on see, mis aitab Hennul olla ekspert ja usaldusväärne allikas ka teadmiste jagamisel. Hennu enda õppimisvõime ja üle 60 sooritatud erialaeksami võimaldab õppijaid suurepäraselt mõista ning on tugevuseks ka koolitajana.
Sertifikaadid ja tunnistused
Koolituskogemus ja valdkonnad Henn koolitab IT Koolituses juba üle 25 aasta. Koolituskogemus oli tal ka varem – jagas paar aastat teadmisi Novelli administraatoritele. IT Koolituses on ta keskendunud peamiselt (aga mitte ainult) Microsofti toodetele, seda nii tavakasutajatele (Excelist Visioni) kuni süsteemiadministraatorite ja programmeerijateni. Peamiselt siiski kõik, mis puudutab andmebaase (SQL) ja ärianalüüsi (BI, Excel).
Tugevused koolitajana
Hoolimata sellest, et Henn on 25+ aastat klassi ees seisnud, ei ole ta kaotanud sidet igapäevase eluga: vahepeal on ta loonud arendusettevõtte ja jõudnud selle maha müüa; on konsulteerinud ja juurutanud süsteeme mitmes ettevõttes, peab talu ja korraldab sulgpallivõistlusi. Pidev side tegeliku eluga on see, mis aitab Hennul olla ekspert ja usaldusväärne allikas ka teadmiste jagamisel. Hennu enda õppimisvõime ja üle 60 sooritatud erialaeksami võimaldab õppijaid suurepäraselt mõista ning on tugevuseks ka koolitajana.
Sertifikaadid ja tunnistused
09:15 – 09:30
Gathering
The training takes place at Vana-Lõuna 39/1, Tallinn, IT Training premises. You can park in the Europark car park at Veerenni 36, EP63.
09:30 – 11:00
I module
11:00 – 11:15
Coffee break
11:15 – 12:45
II module
12:45 – 13:30
Lunch
13:30 – 15:00
III module
15:00 – 15:15
Coffee break
15:15 – 16:45
IV module
Registreerudes e-poe, e-kirja või telefoni teel, saadame Teile arve ja täpsema info osalemise kohta.
Üksteist päeva enne koolitust saadame Teile e-kirjaga meenutuse osalemise infoga.
Koolitusel osalemine on nimeline, kuid saate osalejat tasuta muuta kuni koolituse alguseni.
Koolituse eest tasumine toimub arvel viidatud arveldusarvele. Arve saadetakse maksja aadressile e-postiga. Arve tuleb tasuda enne koolituse algust arvel märgitud maksetähtajaks.
IT Koolitus on Eesti Töötukassa koolituskaardi koostööpartner. Tutvuge koolituskaardi infoga SIIN.
Täpsema info saamiseks võtke meiega ühendust telefonil 618 1727 või [email protected].
Kui te ei saa mingil põhjusel koolitusel osaleda, palun andke sellest teada e-posti aadressil [email protected]. Kui teatate mitteosalemisest vähemalt 10 tööpäeva ette, lepime Teiega kokku uue aja või tagastame 100% koolituse maksumusest. Tagastame koolituse osalustasu täismahus juhul, kui pole tehtud koolituse korraldamisega seotud kulutusi (ostetud õppematerjale jms).
Kui teatate mitteosalemisest 5-9 tööpäeva enne koolitust, kuulub tasumisele 50% arvest.
Hilisemal teavitamisel, koolitusele mitteilmumisel, sellest mitteteatamisel või koolituse poolelijätmisel õppetasu ei tagastata.
Aadress
Vana-Lõuna 39/1, TallinnIT Koolitus | Vana-Lõuna 39/1, Tallinn | 6181727 | [email protected]