Rockset

MAY 17, 2022

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. That changed when NoSQL databases such as key-value and document stores came on the scene. While taking the NoSQL road is possible, it’s cumbersome and slow. As a result, the use cases remained firmly in batch mode.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. NoSQL is an abbreviation for "Not Only SQL," and it refers to non-relational databases that provide flexible data formats, horizontal scaling, and high performance for certain use cases.

Database 52

Database NoSQL Telecommunication MongoDB 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. NoSQL, for example, may not be appropriate for message queues. When is it appropriate to use a NoSQL database?

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. In former times, Kafka worked with Java only. Hadoop fits heavy, not time-critical analytics applications that generate insights for long-term planning and strategic decisions. Kafka vs ETL.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

SEPTEMBER 6, 2021

Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. Google Cloud Functions support only Node.js, while AWS Lambda functions support many languages, including Java, C, python, etc.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

MARCH 10, 2016

All the batch processing and analytics workload at LinkedIn is primarily handled by Hadoop. LinkedIn uses Hadoop for development of predictive analytics applications like “Skill Endorsements” and “People You May Know”, ad-hoc analysis by data scientists and for descriptive statistics for operating internal dashboards.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

ProjectPro

MAY 23, 2015

During this program the candidates are required to spend some time with the different departments in the company to understand how big data analytics is being leveraged across the company. Related Posts How much Java is required to learn Hadoop? to get the download link to Walmart Big dataset.

Big Data 52

Big Data Data Analysis Hadoop Retail 52