
HBase tables can be integrated with HIVE, so that querying can be done using IMPALA. IMPALA queries are pretty fast and as easy as any standard SQL queries. We shall […]

Hadoop Distributed File System (HDFS) stores files as data blocks and distributes these blocks across the entire cluster. As HDFS was designed to be fault-tolerant and to run on commodity […]

There are different ways to load data into HBase tables like: ‘put’ to manually load data records into HBase, ImportTSV and bulk load options. Alternatively, lets try to load huge […]

Conceptually, MapReduce jobs are relatively simple. In the map phase, each input record has a function applied to it, resulting in one or more key-value pairs. The reduce phase receives […]

Reading data from and writing data to Hadoop Distributed File System (HDFS) can be done in a lot of ways. Now let us start by using the FileSystem API to […]

# Open a terminal window to the current working directory. # /home/training # 1. Print the Hadoop version hadoop version # 2. List the contents of the root directory in […]

General Sense of Moving Average: Moving Average is a widely used indicator in technical analysis that helps smooth out price action by filtering out the “noise” from random price fluctuations. […]

Hadoop fsimage is an “Image” file and its contents cannot be read easily using normal unix file system tools like cat, more etc. At times, it is very important to […]

MapReduce has a feature known as Hadoop Streaming that gives the flexibility to write code in your favorite language other than Java. You can use Ruby, Perl, Python or even quickly […]

The following Python code mapper.py will take the text file as input and tokenize it to create a set of <key, value> pairs. The key will be a number reflecting […]