ProjectPro

SEPTEMBER 9, 2021

Highly flexible and scalable Real-time stream processing Spark Stream – Extension of Spark enables live-stream from massive data volumes from different web sources. Hive , for instance, does not support sub-queries and unstructured data. Data update and deletion operations are also not possible with Hive.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

ProjectPro

JUNE 9, 2015

for 2012-2017 anticipating it to reach $191 million from $40.7 million in 2012. The prospective growth for big data in India is because of-increasing number of companies trying to get meaningful insights out from the massive data growth in their businesses.

Hadoop 52

Hadoop Big Data Skills Big Data Retail 52

ProjectPro

JULY 13, 2015

Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data. JP Morgan has massive amounts of data on what its customers spend and earn. Hadoop allows us to store data that we never stored before.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Knowledge Hut

MAY 3, 2024

Spark (and its RDD) was developed(earliest version as it’s seen today), in 2012, in response to limitations in the MapReduce cluster computing paradigm. The core is the distributed execution engine and the Java, Scala, and Python APIs offer a platform for distributed ETL application development.

Scala 98

Scala Hadoop Healthcare Big Data 98

ProjectPro

MAY 19, 2015

5 Reasons to Learn Hadoop ​ Hadoop brings in better career opportunities in 2015 Learn Hadoop to pace up with the exponentially growing Big Data Market Increased Number of Hadoop Jobs Learn Hadoop to Make Big Money with Big Data Hadoop Jobs Learn Hadoop to pace up with the increased adoption of Hadoop by Big data companies Why learn Hadoop?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are engineers responsible for uncovering trends in data sets and building algorithms and data pipelines to make raw data beneficial for the organization. This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MARCH 27, 2024

Let's check some big data analytics tools examples and software used in big data analytics. Listed below are the top and the most popular tools for big data analytics : 1. Data from one server can be processed by multiple structured and unstructured computers, and users of Hadoop can also access it across multiple platforms.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52