The final step to Data Science is the ability to work with big data and its components. The Big Data Course with Spark dives deep into Hadoop and all its ecosystem components including MapReduce, HDFS, Yarn, HBase, Impala, Sqoop and Flume.
DurationThe final step to Data Science is the ability to work with big data and its components. The Big Data Course with Spark dives deep into Hadoop and all its ecosystem components including MapReduce, HDFS, Yarn, HBase, Impala, Sqoop and Flume.
It also provides an introduction to Apache Spark which is the next step after Hadoop. After completing this programme not only will you be ready to enter the big data domain but will also be able to clear the in-demand Cloudera CCA175 certification.
Big Data Course with Spark will enable learners to master the concepts of the Hadoop framework and its deployment in a cluster environment. Learners will gain an understanding of how the Hadoop ecosystem fits in the data processing lifecycle. The course will enable learners to enter the big data domain upon completing the course.
Mindworx Academy has long-term, real-world experience and a track record of success in training and reskilling to improve businesses. We regularly witness extraordinary transformations, not only in the people we train but in the businesses they serve.
Data Analytics And Statistics course is offered by The CharterQuest Institute. Leaders In Professional Accounting, Treasury & Finance Education. The CharterQuest Institute is based in Johannesburg.
This 3 – day course will equip one with know how knowledge to explore, visualize, and securely share data in the form of Workbooks and Dashboards using Tableau. Tableau is a widely used business intelligence (BI) and analytics software trusted by a number of companies.
Power BI is a business analytics tool that allows you to visualize and analyze your data, create interactive reports and dashboards, and share insights, allowing you to extract the maximum value from your data.
Data analytics is the science of drawing insights from raw information sources. Data is the foundation of the digital age; hence, it is important to inspect, cleanse, transform, and model data with the goal of discovering useful information, inform conclusions, and support decision-making.
All organisations – including research, teaching, profit, governmental and non-governmental organisations – use data to improve the quality of their work and service.
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