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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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Don't let this gap widen
Without Apache Spark, your Big Data processing stalls: 70% of data analysts lose 15h/week on slow tools like Pandas, causing project delays multiplied by 10 and cloud costs inflated by 40%.
Imagine missing 25% of Big Data job opportunities requiring Spark, or erroneous analyses on wasted terabytes.
In 3 days, avoid these costly pitfalls, process 100 GB in minutes instead of days, boost your CV and immediately recoup your data investments.
The Apache Spark Training - Introduction to Distributed Big Data training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Apache Spark Training - Introduction to Distributed Big Data training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Apache Spark Training - Introduction to Distributed Big Data training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into Apache Spark from the morning, easily install your local cluster with Spark and Hadoop, launch SparkShell to explore real datasets like web logs, create your first RDDs, apply map-filter-reduce transformations through interactive exercises, test count-collect actions, leave with a functional Jupyter notebook ready for your Big Data projects.
Master RDDs in depth on day 2, chain join-groupBy on massive volumes via real e-commerce cases, switch to Spark SQL for intuitive queries on DataFrames, integrate custom UDFs, optimize with cache-persist during timed exercises, produce actionable analytical deliverables, gain speed and confidence to scale your processing.
Conclude strongly with complete Spark apps, develop a distributed ETL on real IoT data, deploy via spark-submit in simulated cluster mode, tune partitions and memory to speed up 5x, integrate basic Spark Streaming, finalize a personal capstone project with report, obtain certificates and resources to shine in Big Data teams.
Target audience
Data analysts, data engineers, developers upskilling in Big Data
Prerequisites
Basic knowledge of Python or Java programming, notions of SQL and data structures
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