The course helps you master in knowledge of the basic concepts of Massively Parallel Processing (MPP) SQL query. It provides an in-depth understanding of querying in Hive and Impala including Impala architecture, daemon, statestore, and catalogue service. The course is best suited for database administrators, software developers, system administrators, and analytics professionals.

Simplilearn’s Machine Learning Course will introduce you to the world of Artificial Intelligence and Machine Learning. As part of the Machine Learning Certification training, you will master the concepts of Supervised Learning, Unsupervised Learning, Reinforcement Learning, Support Vector Machines, Kernel SVM, Naive Bayes, Decision tree classifier, Random forest classifier, Logistic regression, K-nearest neighbours, K-means Clustering to prepare you for the role of Machine Learning Engineer.

Become an expert in data analytics, machine learning, and web scraping using Python programming. Gain an in-depth understanding of the various packages in Python like NumPy, SciPy, Pandas, and Scikit-learn for performing data analysis, implementing machine learning models, and NLP. The course includes two real-life industry projects and Jupyter notebooks labs to provide an interactive and hands-on practice. This course is suited for both beginners and experienced professionals.

This Big Data and Hadoop Administrator training course with furnish you with the aptitudes and methodologies necessary to excel in the Big Data Analytics industry. With this Hadoop Admin training, you’ll learn to work with the adaptable, versatile frameworks based on the Apache Hadoop ecosystem, including Hadoop installation and configuration; cluster management with Sqoop, Flume, Pig, Hive and Impala and Cloudera; and Big Data implementations that have exceptional security, speed and scale.

Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.

Step into the world of Big Data with an introduction to Hadoop and its ecosystem components.

This program designed by Ronald Van Loon, named by Onalytica as one of the top 10 Big Data & Data Science Influencer in the world, will give you an in-depth education of the Hadoop development framework, including real-time processing using Spark, NoSQL database technology and other Big Data technologies to make you a skilled Big Data Architect professional at par with leading industry standards.

This learning path is designed for a professional taking his first steps in the world of analytics and wishes to develop skills in both big data and data science. It is important to be a multi-skilled expert to make it big in the field of analytics to be able to adapt to the fast changing trends of the industry.

Learn how to use ElasticSearch in combination with the rest of the Elastic Stack to ship, parse, store, and analyze logs! You'll start by getting an understanding of what ElasticSearch is, what it's used for, and why it's important before being introduced to the new features of Elastic Search 5.0. Access 35 lectures & 3 hours of content 24/7 Go through each of the fundamental concepts of ElasticSearch such as queries, indices, & aggregation Add more power to your searches using filters, ranges, & more See how ElasticSearch can be used w/ other components like LogStash, Kibana, & Beats Build, test, & run your first LogStash pipeline to analyze Apache web logs

Hadoop emerged in response to the proliferation of masses and masses of data collected by organizations, offering a strong solution to store, process, and analyze what has commonly become known as Big Data. It comprises a comprehensive stack of components designed to enable these tasks on a distributed scale, across multiple servers and thousand of machines. In this course, you'll learn Hadoop 2, introducing yourself to the powerful system synonymous with Big Data. Access 19 lectures & 1.5 hours of content 24/7 Get an overview of the Hadoop component ecosystem, including HDFS, Sqoop, Flume, YARN, MapReduce, Pig, & Hive Install & configure a Hadoop environment Explore Hue, the graphical user interface of Hadoop Discover HDFS to import & export data, both manually & automatically Run computations using MapReduce & get to grips working w/ Hadoop's scripting language, Pig Siphon data from HDFS into Hive & demonstrate how it can be used to structure & query data sets