Big day

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Data is classified as big if the total size is more than 1 GB/TB/PB/EX. A large organization with a huge amount of data uses Hadoop, Spark software, processed with the help of a large cluster of commodity hardware. Cluster term refers to a group of systems that are connected via LAN and multiple nodes on this cluster helps in performing the jobs. Hadoop, Spark has gained popularity worldwide in managing big data and at present, it has covered nearly 90% market of big data.   Categories of BigData: 1) Structured 2) Unstructured 3) Semi-structured   Example of BigData: 1) New York Exchange generates about 1 TB of new trade data per day. 2) Social Media:  Statistics shows that 500+ terabytes of data get ingested into the database of social media site Facebook, every day. 3) Jet Engine /Travel Portals: Single Jet Engine generates 10+ terabytes(TB) of data in 30 minutes of a flight per day.  Generation of data reaches up to many Petabytes (PB). Overview of Hadoop Ecosystem:   The Hadoop ecosystem consists of 1) HDFS (Hadoop Distributed File System) 2) Apache MapReduce 3) Apache PIG 4) Apache HBase 5) Apache Hive 6) Apache Sqoop 7) Apache Flume, and 8) Apache Zookeeper 9) Apache Kafka 10) Apache OOZIE     iClass Gyansetu provides classes with corporate trainers working with top companies.   Placement Gyansetu provides free placement services.   Duration Big Data Hadoop, Spark takes around 4-5months to learn   Contact Phone No- +91-8130799520/ 9999201478 Website- www.gyansetu.in  

A data set which is considered to highly voluminous and full of complexities is known as Big Data. The complexities that are involved come in the shape of challenges, which in turn can be analysis, capture, data curation, storing, sharing and transferring, visualizing, querying and updating. However, these are some of the examples out of the vast pool of challenges. Obviously, students will come across them in their professional lives. However, if they get trained about them, then encountering them becomes easier. That’s what takes place at WebTek Labs day in day out. Considered to be one of the premium big data training institutes in Kolkata, WebTek Labs’ big data training program is priceless. If you want more knowledge, then, write to us at the address given below. Address : 4, Lee Road, Vaibhav Building, 5th Floor, Near Rabindra Sadan Metro Station, Kolkata 700 020, West Bengal. Contact: +91-033-30515400, 9007056569, 8420074893 BD-44, Sector-1, Salt Lake, Near Tank Number-4, Kolkata 700-064, India Contact: +91-33-65011271, 9831829641, 9007766321 Website :http://www.webteklabs.com/

WHAT IS BIG DATA? In simple words, big data is data generated from various sources and through different formats. Thanks to the amount of information available on internet, the accumulated data is growing exponentially every day. Big data is primarily defined through Vs. Let us tell you what they are – - VELOCITY: Data flows in higher velocity and speed than in earlier times. The number of internet users have helped in accelerating the pace. - VARIETY: From pictures, videos to information and nu...

Hadoop for Developers and Administrators Hadoop for Developers and Administrators Syllabus COURSE CONTENT Traning at hadoop school of training Magarpatta city Pune. (+91-93257-93756) www.hadoopschooloftraining.co.in Next level of development and administration Schedule: Day 1:BigData • Why is Big Data important • What is Big Data • Characteristics of Big Data • How did data become so big • Why should you care about Big Data • Use Cases of Big Data Analysis • What are possible options for analyzing big data • Traditional Distributed Systems • Problems with traditional distributed systems • What is Hadoop • History of Hadoop • How does Hadoop solve Big Data problem • Components of Hadoop • What is HDFS • How HDFS works • What is Mapreduce • How Mapreduce works • How Hadoop works as a system Day2: Hadoop ecosystem • Pig • What is Pig • How it works • An example • Hive • What is Hive • How it works • An example • Flume • What is Flume • How it works • An example • Sqoop • What is Sqoop • How it works • An example • Oozie • What is Oozie • How it works • An example • HDFS in detail • Map Reduce in details Day3: Hands On-¬‐ • VMsetup • Setting up Virtual Machine • Installing Hadoop in Pseudo Distributed mode Day 4: Hands On-¬‐ • Programs • Running your first MapReduce Program • Sqoop Hands on • Flume Hands Day 5: • Multinode cluster setup • Setting up a multimode cluster Day 6: • Planning your Hadoop cluster • Considerations for setting up Hadoop Cluster • Hardware considerations • Software considerations • Other considerations Day 7: Disecting the Wordcount Program • Understanding the Driver • Understanding the Mapper • Understanding the Reducer Day 8: • Diving deeper into MapReduce • API • Understanding combiners • Understanding partitioners • Understanding input formats • Understanding output formats • Distributed Cache • Understanding Counters Day 9: • Common Mapreduce patterns • Sorting Serching • Inverted Indexes Day 10: • Common Mapreduce patterns • TF-IDF • Word-Cooccurance Day 11: • Hands on Mapreduce Day 12: • Hands on Mapreduce Day 13: • Introduction to Pig and Hive • Pig program structure and execution process • Joins • Filtering • Group and Co-Group • Schema merging and redefining schema • Pig functions • Motivation and Understanding Hive • Using Hive Command line Interface • Data types and File Formats • Basic DDL operations • Schema Design Day 14: • Hands on Hive and Pig Day 15: • Advanced Hadoop Concepts • Yarn • Hadoop Federation • Authntication in Hadoop • High Availbability Day 16: • Administration Refresher • Setting up hadoop cluster - Considerations • Most important configurations • Installation options Day 17: • Scheduling in Hadoop • FIFO Scheduler • Fair Scheduler Day 18: • Monitoring your Hadoop Cluster • Monitoring tools available • Ganglia • Monitoring best practices Day 19: • Administration Best practices • Hadoop Administration best practices • Tools of the trade Day 20: • Test • Test – 50 questions test (20- Development releated, 20- • Administration related and 10 Hadoop in General Please Contact- Hadoop School of Training Destination Center, Second Floor Magarpatta City Pune: 411013 Phone: India: +91-93257-93756 USA: 001-347-983-8512 www.hadoopschooloftraining.co.in Email: learninghub01@gmail.com Skype: learning.hub01

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