Pricing is per delegate, giving you huge savings over the cost of individual courses.
4.6 out of 5 rating Last updated 14/11/2024 English
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3 Days
18 CPD hours
This Åskills-centric course is about 50% hands-on lab and 50% lecture, designed to train attendees in core big data/ Spark development and use skills, coupling the most current, effective techniques with the soundest industry practices. Throughout the course students will be led through a series of progressively advanced topics, where each topic consists of lecture, group discussion, comprehensive hands-on lab exercises, and lab review.This course provides indoctrination in the practical use of the umbrella of technologies that are on the leading edge of data science development focused on Spark and related tools. Working in a hands-on learning environment, students will explore:-Spark Ecosystem-Spark Shell-Spark Data structures (RDD, DataFrame, Dataset)-Spark SQL-Modern data formats and Spark-Spark API-Spark & Hadoop & Hive-Spark ML overview-GraphX-Time-permitting: Spark Streaming-Time-permitting: Optional Capstone Workshop (Time-Permitting)
Apache Spark, a significant component in the Hadoop Ecosystem, is a cluster computing engine used in Big Data. Building on top of the Hadoop YARN and HDFS ecosystem, it offers order-of-magnitude faster processing for many in-memory computing tasks compared to Map/Reduce. It can be programmed in Java, Scala, Python, and R - the favorite languages of Data Scientists - along with SQL-based front ends. With advanced libraries like Mahout and MLib for Machine Learning, GraphX or Neo4J for rich data graph processing as well as access to other NOSQL data stores, Rule engines and other Enterprise components, Spark is a lynchpin in modern Big Data and Data Science computing.Geared for experienced developers, Introduction to Apache Spark for Big Data & Machine Learning provides students with a comprehensive, hands-on exploration of enterprise-grade Spark programming, interacting with the significant components mentioned above to craft complete data science solutions. Students will leave this course armed with the skills they require to begin working with Spark in a practical, real world environment.This course is offered in support of the Python programming language but can also be offered for R or Java with advance notice and planning. Our team will work with you to coordinate the languages, tools and environment that will work best for your organization and needs. Please inquire for details.
This foundation-level course is geared for intermediate skilled, experienced Developers and Architects (with basic Python experience) who seek to be proficient in advanced, modern development skills working with Apache Spark in an enterprise data environment. TTPS4800 Introduction to Python ProgrammingTTSQLB3 Introduction to SQL (Basic familiarity is needed, not in-depth SQL skills)
Nexus Humans Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.
This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.The 3 day. Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503) training course give you up to 18 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.
The Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503) prepares you for the Yes official exam. You can take this exam at any exam center across UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online where ever you are. Exams vary in duration and if required you can request with the provider for any accommodations appropriate for you.
This foundation-level course is geared for intermediate skilled, experienced Developers and Architects (with basic Python experience) who seek to be proficient in advanced, modern development skills working with Apache Spark in an enterprise data environment.
Yes we provide corporate training, dedicated training and closed classes for the Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503). This can take place anywhere in UK including, England, Scotland, Cymru (Wales) or Northern Ireland or live online allowing you to have your teams from across UK or further afield to attend a single training event saving travel and delivery expenses.
The Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503) training takes place over 3 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.
Popular related searched include Spark.
Yes, the discount code PENPAL5 is currently available for the Introduction to Apache Spark | Hands-on Spark for Big Data & Machine Learning (TTSK7503) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.
When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.