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Big Data Engineering Course

Big Data Engineering Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

Unlock the power of data with our Big Data Engineering Course, designed for Business Intelligence professionals eager to excel. (ብ ዓቢዪ ዳታ ምህንድስና ኮርስ ሓይሊ ዳታ ክፈቱ፣ ን ሞያውያን ቢዝነስ ኢንተለጀንስ ን ልዕልነት ተዳልዩ።) Dive into data storage solutions like HDFS and cloud options, master scalable data pipeline architectures, and explore real-time processing with Apache Kafka. (ኣብ ከም HDFS ዝኣመሰሉ መፍትሒታት መኽዘን ዳታን ምርጫታት ክላውድን ጠልቁ፣ ንተሰፋሕቲ ኣሰራርሓታት መስመር ዳታ ተቆጻጸሩ፣ ከምኡ'ውን ብ Apache Kafka ሓቀኛ ግዜ መስርሒ ዳህስሱ።) Gain hands-on experience with prototyping, implementation, and documentation, while overcoming real-world challenges. (ተግባራዊ ተመክሮ ምስ ምምስያል፣ ትግባረ፣ ከምኡ'ውን ስነዳ ምስ ምውጋድ ተዓወትቲ ክትኮኑ።) Elevate your skills with cutting-edge frameworks like Apache Spark and Flink, and transform data into actionable insights. ( ክእለትኩም ምስ ከም Apache Spark and Flink ዝኣመሰሉ ዘመናዊ መሳርሒታት ኣዕብዩ፣ ከምኡ'ውን ዳታ ናብ ተግባራዊ ምርዳእ ለውጡ።)

Elevify advantages

Develop skills

  • Master HDFS: Efficiently store and manage big data with HDFS expertise. (HDFS ምቁጽጻር፡ ዓቢዪ ዳታ ብ ብልጽግና ምስ ክእለት HDFS ክዝን ምምሕዳር።)
  • Design Pipelines: Create scalable data pipelines for seamless data flow. (መስመራት ምድላው፡ ንዘየቋርጽ ፈሳሲ ዳታ ተሰፋሕቲ መስመራት ዳታ ፍጠሩ።)
  • Real-time Processing: Implement real-time analytics for instant insights. (ሓቀኛ ግዜ መስርሒ፡ ንቅጽበታዊ ምርዳእ ሓቀኛ ግዜ ትንተና ትግባረ።)
  • Apache Spark Skills: Harness Apache Spark for powerful data processing. (ክእለት Apache Spark: Apache Spark ን ሓያል መስርሒ ዳታ ተጠቐሙ።)
  • Kafka Integration: Integrate Kafka for robust data ingestion solutions. (ውህደት Kafka: Kafka ን ጽኑዕ መፍትሒ ምውሳድ ዳታ ኣዋህድ።)

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

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