ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

MAY 14, 2021

There are also client layers where all data management activities happen. When data is in place, it needs to be converted into the most digestible forms to get actionable results on analytical queries. For that purpose, different data processing options exist. This, in turn, makes it possible to process data in parallel.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JANUARY 24, 2023

Google BigQuery Architecture- A Detailed Overview BigQuery is built on Dremel technology, which has been used internally at Google since 2006. Google's Dremel is an interactive ad-hoc query solution for analyzing read-only hierarchical data. The data processing architectures of BigQuery and Dremel are slightly similar, however.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

AUGUST 31, 2018

Running services in the cloud involve data processing that needs to be saved at some time. However, Azure’s storage capabilities are also highly reliable.Both AWS and Azure are strong in this category and include all the basic features such as REST API access 3and server-side data encryption. Is Azure the same as AWS?

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

SEPTEMBER 6, 2021

It is a serverless data integration service that makes data preparation easier, cheaper and faster. On the other hand, GCP Dataflow is a fully managed data processing service for batch and streaming big data processing. Launched in 2006.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52