Edureka

JANUARY 18, 2024

Hadoop Explore Big Data Technologies, including Hadoop, HDFS, and MapReduce, which enable efficient data management and parallel computation across large clusters. NoSQL Databases This blog provides an overview of NoSQL databases, including MongoDB, Cassandra, HBase, and Couchbase.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Table of Contents Why Apache Hadoop?

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

JUNE 17, 2016

You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. Location and industry – Locations and industry helps recruiters sift through your LinkedIn profile on the available Hadoop or data science jobs in that locations.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

Rockset

MAY 12, 2022

Halloween causes consumer social media apps to be inundated with photos. Hadoop was initially used but has since been replaced by Snowflake, Redshift and other databases. The serving layer — often MongoDB , Elasticsearch or Cassandra — then delivers those results to both dashboards and users’ ad hoc queries.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

AltexSoft

JUNE 26, 2023

They can be accumulated in NoSQL databases like MongoDB or Cassandra. External or third-party data sources, on the other hand, deal with outside information, which comes from partners, competitors, social media, general market studies, databases with publicly available datasets , etc. and its value (male, red, $100, etc.).

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

AltexSoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. The hybrid data platform supports numerous Big Data frameworks including Hadoop and Spark , Flink, Flume, Kafka, and many others.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Knowledge Hut

SEPTEMBER 6, 2023

Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle. It will cover topics like Data Warehousing,Linux, Python, SQL, Hadoop, MongoDB, Big Data Processing, Big Data Security,AWS and more. You will become accustomed to challenges that you will face in the industry.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

NOVEMBER 7, 2023

Human mistakes and running out of backup media were regular difficulties. SQL, NoSQL, and Linux knowledge are required for database programming. While SQL is well-known, other notable ones include Hadoop and MongoDB. With all of this came a slew of issues, including data leakage from one side to the other.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

AltexSoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. Some popular databases are Postgres and MongoDB. Data sources component in a modern data stack.

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. The big data analytics market in 2015 will revolve around the Internet of Things (IoT), Social media sentiment analysis, increase in sensor driven wearables, etc.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

Knowledge Hut

JUNE 20, 2023

Facial reorganization, social media optimization, etc. You should be skilled in SQL and knowledgeable about NoSQL databases like Cassandra, MongoDB, and HBase. Data engineers must familiarize themselves with distributed computing platforms like Hive, Hadoop, and Spark.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

AltexSoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Some systems lay on the surface as they are used in your day-to-day operations while others may be in the shadows of IoT devices and social media sites. Identify your consumers.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data. Explain how Big Data and Hadoop are related to each other.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JULY 30, 2021

Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Amazon’s counterpart of this is called Amazon EMR ( Elastic Map-Reduce) Hadoop - Hadoop allows clustering of hardware to analyse large sets of data in parallel. What are the platforms that use Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40