Data Engineering & Data Science

EAS-004
array (
  'IBLOCK_ID' => '130',
  'ID' => '110045',
  'NAME' => 'EAS-004 Data Warehouse Fundamentals',
  'PROPERTY_PP_COURSE_VALUE' => '110044',
  'PROPERTY_PP_COURSE_VALUE_ID' => '110045:723',
  'PROPERTY_PP_COURSE_NAME' => 'Data Warehouse Fundamentals',
  'PROPERTY_PP_COURSE_ACTIVE' => 'Y',
  'PROPERTY_PP_COURSE_CODE' => 'EAS-004',
  'PROPERTY_PP_COURSE_XML_ID' => 'data-warehouse-fundamentals',
  'SORT' => '500',
  'IBLOCK_SECTION_ID' => '1548',
  'PARAM' => 
  array (
    'ID' => '110044',
    'NAME' => 'Data Warehouse Fundamentals',
    'PROPERTY_COURSE_DURATION_VALUE' => '24',
    'PROPERTY_COURSE_DURATION_VALUE_ID' => '110044:692',
    'PROPERTY_META_DESCR_VALUE' => 'Descopera abordarile actuale in designul de data warehouses si cum sa le folosesti in sistemele enterprise heterogene. ',
    'PROPERTY_META_DESCR_VALUE_ID' => '110044:712',
  ),
)
24 ore
Descopera abordarile actuale in designul de data warehouses si cum sa le folosesti in sistemele enterprise heterogene.
EAS-011
array (
  'IBLOCK_ID' => '130',
  'ID' => '106356',
  'NAME' => 'EAS-011 Abordari de management al datelor',
  'PROPERTY_PP_COURSE_VALUE' => '104446',
  'PROPERTY_PP_COURSE_VALUE_ID' => '106356:723',
  'PROPERTY_PP_COURSE_NAME' => 'Abordari de management al datelor',
  'PROPERTY_PP_COURSE_ACTIVE' => 'Y',
  'PROPERTY_PP_COURSE_CODE' => 'EAS-011',
  'PROPERTY_PP_COURSE_XML_ID' => 'abordari-de-management-al-datelor',
  'SORT' => '500',
  'IBLOCK_SECTION_ID' => '1548',
  'PARAM' => 
  array (
    'ID' => '104446',
    'NAME' => 'Abordari de management al datelor',
    'PROPERTY_COURSE_DURATION_VALUE' => '16',
    'PROPERTY_COURSE_DURATION_VALUE_ID' => '104446:692',
    'PROPERTY_META_DESCR_VALUE' => 'In cadrul acestui curs vom aborda metodele moderne de data storage, inclusiv key-value stores, sisteme de management al bazelor de date si orientate pe obiect, stocarea de date distribuita si sisteme de procesare.',
    'PROPERTY_META_DESCR_VALUE_ID' => '104446:712',
  ),
)
16 ore
In cadrul acestui curs vom aborda metodele moderne de data storage, inclusiv key-value stores, sisteme de management al bazelor de date si orientate pe obiect, stocarea de date distribuita si sisteme de procesare.
EAS-016
array (
  'IBLOCK_ID' => '130',
  'ID' => '106357',
  'NAME' => 'EAS-016 BigData SQL Hive',
  'PROPERTY_PP_COURSE_VALUE' => '90791',
  'PROPERTY_PP_COURSE_VALUE_ID' => '106357:723',
  'PROPERTY_PP_COURSE_NAME' => 'BigData SQL Hive',
  'PROPERTY_PP_COURSE_ACTIVE' => 'Y',
  'PROPERTY_PP_COURSE_CODE' => 'EAS-016',
  'PROPERTY_PP_COURSE_XML_ID' => 'BigData-SQL-Hive',
  'SORT' => '500',
  'IBLOCK_SECTION_ID' => '1548',
  'PARAM' => 
  array (
    'ID' => '90791',
    'NAME' => 'BigData SQL Hive',
    'PROPERTY_COURSE_DURATION_VALUE' => '8',
    'PROPERTY_COURSE_DURATION_VALUE_ID' => '90791:692',
    'PROPERTY_META_DESCR_VALUE' => 'Acest training se adreseaza programatorilor si abordeaza subiecte legate de functionalitatile tehnice, arhitectura si performance tuning. Apache Hive permite analiza unor seturi de date mari stocate in Hadoop\'s HDFS si fisiere de sistem compatibile, oferind un limbaj asemanator SQL cu schema on read. De asemenea converteste interogarile in map/reduce.',
    'PROPERTY_META_DESCR_VALUE_ID' => '90791:712',
  ),
)
8 ore
Acest training se adreseaza programatorilor si abordeaza subiecte legate de functionalitatile tehnice, arhitectura si performance tuning. Apache Hive permite analiza unor seturi de date mari stocate in Hadoop's HDFS si fisiere de sistem compatibile, oferind un limbaj asemanator SQL cu schema on read. De asemenea converteste interogarile in map/reduce.
EAS-019
array (
  'IBLOCK_ID' => '130',
  'ID' => '106358',
  'NAME' => 'EAS-019 BigData SQL Impala',
  'PROPERTY_PP_COURSE_VALUE' => '90793',
  'PROPERTY_PP_COURSE_VALUE_ID' => '106358:723',
  'PROPERTY_PP_COURSE_NAME' => 'BigData SQL Impala',
  'PROPERTY_PP_COURSE_ACTIVE' => 'Y',
  'PROPERTY_PP_COURSE_CODE' => 'EAS-019',
  'PROPERTY_PP_COURSE_XML_ID' => 'BigData-SQL-Impala',
  'SORT' => '500',
  'IBLOCK_SECTION_ID' => '1548',
  'PARAM' => 
  array (
    'ID' => '90793',
    'NAME' => 'BigData SQL Impala',
    'PROPERTY_COURSE_DURATION_VALUE' => '8',
    'PROPERTY_COURSE_DURATION_VALUE_ID' => '90793:692',
    'PROPERTY_META_DESCR_VALUE' => 'Acest curs se adreseaza programatorilor care vor sa invete cum sa lucreze cu Impala si abordeaza toate aspectele legate de functiile tehnice, arhitectura si performance tuning. Impala ajuta la analiza seturilor mari de date stocate in HDFS si fisiere de sistem compabilie, oferind un limbaj similar cu SQL.',
    'PROPERTY_META_DESCR_VALUE_ID' => '90793:712',
  ),
)
8 ore
Acest curs se adreseaza programatorilor care vor sa invete cum sa lucreze cu Impala si abordeaza toate aspectele legate de functiile tehnice, arhitectura si performance tuning. Impala ajuta la analiza seturilor mari de date stocate in HDFS si fisiere de sistem compabilie, oferind un limbaj similar cu SQL.
EAS-025
array (
  'IBLOCK_ID' => '130',
  'ID' => '106354',
  'NAME' => 'EAS-025 Machine Learning',
  'PROPERTY_PP_COURSE_VALUE' => '106353',
  'PROPERTY_PP_COURSE_VALUE_ID' => '106354:723',
  'PROPERTY_PP_COURSE_NAME' => 'Machine Learning',
  'PROPERTY_PP_COURSE_ACTIVE' => 'Y',
  'PROPERTY_PP_COURSE_CODE' => 'EAS-025',
  'PROPERTY_PP_COURSE_XML_ID' => 'machine-learning-curs',
  'SORT' => '500',
  'IBLOCK_SECTION_ID' => '1548',
  'PARAM' => 
  array (
    'ID' => '106353',
    'NAME' => 'Machine Learning',
    'PROPERTY_COURSE_DURATION_VALUE' => '24',
    'PROPERTY_COURSE_DURATION_VALUE_ID' => '106353:692',
    'PROPERTY_META_DESCR_VALUE' => 'Un training practic legat de machine learning care acopera intregul ciclu de viata al dezvoltrii unei asemenea solutii – de la datele initiale (“.xlsx file”), pana la construirea unui model si explicarea datelor si a rezultatelor catre clientii finali. ',
    'PROPERTY_META_DESCR_VALUE_ID' => '106353:712',
  ),
)
24 ore
Un training practic legat de machine learning care acopera intregul ciclu de viata al dezvoltrii unei asemenea solutii – de la datele initiale (“.xlsx file”), pana la construirea unui model si explicarea datelor si a rezultatelor catre clientii finali.
EAS-026
array (
  'IBLOCK_ID' => '130',
  'ID' => '111641',
  'NAME' => 'EAS-026 Apache Kafka ',
  'PROPERTY_PP_COURSE_VALUE' => '111640',
  'PROPERTY_PP_COURSE_VALUE_ID' => '111641:723',
  'PROPERTY_PP_COURSE_NAME' => 'Apache Kafka ',
  'PROPERTY_PP_COURSE_ACTIVE' => 'Y',
  'PROPERTY_PP_COURSE_CODE' => 'EAS-026',
  'PROPERTY_PP_COURSE_XML_ID' => 'apache-kafka',
  'SORT' => '500',
  'IBLOCK_SECTION_ID' => '1548',
  'PARAM' => 
  array (
    'ID' => '111640',
    'NAME' => 'Apache Kafka ',
    'PROPERTY_COURSE_DURATION_VALUE' => '24',
    'PROPERTY_COURSE_DURATION_VALUE_ID' => '111640:692',
    'PROPERTY_META_DESCR_VALUE' => 'Un intro in Apache Kafka, o platforma de streaming open source. Vom aborda functionalitatile arhitecturale ale Kafka care permit livrarea datelor la un nivel ridicat de performanta.',
    'PROPERTY_META_DESCR_VALUE_ID' => '111640:712',
  ),
)
24 ore
Un intro in Apache Kafka, o platforma de streaming open source. Vom aborda functionalitatile arhitecturale ale Kafka care permit livrarea datelor la un nivel ridicat de performanta.
EAS-027
array (
  'IBLOCK_ID' => '130',
  'ID' => '110209',
  'NAME' => 'EAS-027 Reinforcement Learning – de la elemente de baza la Deep RL',
  'PROPERTY_PP_COURSE_VALUE' => '110208',
  'PROPERTY_PP_COURSE_VALUE_ID' => '110209:723',
  'PROPERTY_PP_COURSE_NAME' => 'Reinforcement Learning – de la elemente de baza la Deep RL',
  'PROPERTY_PP_COURSE_ACTIVE' => 'Y',
  'PROPERTY_PP_COURSE_CODE' => 'EAS-027',
  'PROPERTY_PP_COURSE_XML_ID' => 'reinforcement-learning-deep-rl',
  'SORT' => '500',
  'IBLOCK_SECTION_ID' => '1548',
  'PARAM' => 
  array (
    'ID' => '110208',
    'NAME' => 'Reinforcement Learning – de la elemente de baza la Deep RL',
    'PROPERTY_COURSE_DURATION_VALUE' => '30',
    'PROPERTY_COURSE_DURATION_VALUE_ID' => '110208:692',
    'PROPERTY_META_DESCR_VALUE' => 'Orientat catre programatori in Python sau cei care lucreaza in ML care vor sa inteleaga frameworkul RL in detaliu.',
    'PROPERTY_META_DESCR_VALUE_ID' => '110208:712',
  ),
)
30 ore
Orientat catre programatori in Python sau cei care lucreaza in ML care vor sa inteleaga frameworkul RL in detaliu.
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