Knowledge Hut

SEPTEMBER 26, 2023

Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively. Databricks also provides optimized connectors for other popular data storage solutions like AWS S3 and Hadoop Distributed File System (HDFS).

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

JULY 30, 2021

What are some popular use cases for cloud computing? Cloud storage - Storage over the internet through a web interface turned out to be a boon. With the advent of cloud storage, customers could only pay for the storage they used. What are the platforms that use Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

MAY 31, 2021

Services: Cloud Composer, Google Cloud Storage (GCS), Pub-Sub, Cloud Functions, BigQuery, BigTable Big Data Project with Source Code: Build a Scalable Event-Based GCP Data Pipeline using DataFlow 2. Big Data Project using Hadoop with Source Code for Web Server Log Processing 5.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Relational and non-relational databases are among the most common data storage methods.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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

ProjectPro

DECEMBER 7, 2021

Data sources may include relational databases or data from SaaS (software-as-a-service) tools like Salesforce and HubSpot. Publish- Transform data in the cloud and send it to on-premises sources like SQL Server or store it in your cloud storage sources for BI and data analytics tools and other apps to use.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

U-Next

SEPTEMBER 7, 2022

Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. For building data lakes, the following technologies provide flexible and scalable data lake storage : . Gen 2 Azure Data Lake Storage . Cloud storage provided by Google . Amazon Web Services S3 .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Netflix Tech

DECEMBER 14, 2018

NMDB leverages a cloud storage service (e.g., Some interesting areas of future work could involve exploring Map-Reduce frameworks such as Apache Hadoop, for distributed compute, query processing, relational databases for their transactional support, and other Big Data technologies.

Media 94

Media Database Metadata Data Schemas 94

AltexSoft

MAY 12, 2023

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59