Database Reference
In-Depth Information
•
Integrating Pig with Cassandra
•
Importing data into Cassandra
•
Apache Hive setup and basics
•
Hive external and internal tables
•
Hive with Cassandra
•
Introducing Sqoop
•
Sqoop with Cassandra
Data Migration and Analytics
Data migration is the process of data transfer among multiple storage systems. With big
data problems, the key point for data migration can be upgrading from one storage sys-
tem (e.g., an RDBMS) to another one (e.g., Cassandra) for scalability and performance.
With the recent emergence of many NoSQL databases, data migration has been an im-
portant process to evaluate and implement solutions with the preferred database.
As discussed in the above use cases, data analytics of structured or unstructured
forms of data is another issue. Exploring new business domains and dealing with data
that has been considered of no use due to known limitations are a few important factors
of large data analytics.
Data science is an emerging field these days involving the study of the filtering and
extraction of information from raw data. It's an integral part of artificial and competit-
ive intelligence, and data mining and analysis are other practices related to data scien-
ce.
The process of data mining is to extract and define a pattern after studying big data
sets using various artificial intelligence and natural language process-related tech-
niques. Risk analysis, behavior targeting, and forecasting are a few of the big data use
cases that require data mining and pattern analysis.
The debate between front-end versus back-end implementation has been underway
for many years. Programmers and database architects have their own views on this top-
ic. People with experience in Java or other technologies can easily write such MapRe-
duce implementations. Similarly developers who are well-versed with databases al-
ways prefer to implement such algorithms on the database side. Let's try to visualize
how a MapReduce job would differ for back-end and application programmers.
