Simplilearn

OCTOBER 8, 2021

Data makes today’s world go round. This is the age of mobile devices, wireless networks, and the Internet of Things. Data is everywhere, from your everyday working world to your leisure time, and everything in between. It’s easy to get overwhelmed by massive data volumes, so there are many tools designed to make the information more manageable.

130

130

Simplilearn

SEPTEMBER 28, 2022

With no single point of failure and the ability to handle massive volumes of data across numerous commodity servers, Apache Cassandra is a distributed database that is highly performant and scalable. Features of Cassandra Transaction support No-failure architecture Flexible storage of data Ease of data di. Read More.

130

130

Whizlabs

JUNE 1, 2021

For instance, some are Cassandra, Core API, SQL, Gremlin, and MongoDB. The five options are Core API, SQL, Cassandra, MongoDB, and Gremlin. . You can do it by adding or removing any of the Azure regions to/from your respective account. . This is the starting knowledge that you must acquire about Azure Cosmos DB.

Big Data 88

Big Data Documentation Data Analytics Data Analytics 88

Whizlabs

DECEMBER 23, 2020

Apache Cassandra has been one of the prominent names in the field of big data analytics for quite some time. The following Cassandra tutorial would include details about the definition of Apache Cassandra. In addition, you can also find the outline of features and the working of Apache Cassandra. What is Apache Cassandra?

Big Data 52

Big Data Data Analytics Data Analytics Data Modelling 52

Clarasys

DECEMBER 16, 2020

There are multiple tools such as Tableau, Cloudera or Power BI with an enterprise licence that can collate data and provide insights, but there are also free open source alternatives such as Cassandra, HPCC or Lumify. Even Google Analytics is free and offers Marketers insights into their customers.

Retail 52

Retail Supply Chain Customer Experience Customer Experience 52

Argon Digital

NOVEMBER 15, 2022

Big Data Platform Integration : Provides integration to Big Data sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra, and HBase). File Transfers : The ability to distribute files between file systems on a triggered, scheduled, or manual basis.

Big Data 52

Big Data Documentation Monitoring Visualization 52

Cprime

MAY 7, 2021

Experience with data warehousing tools, such as MySQL, Cassandra, HDFS, or DB2. If you want to pursue a career in big data, you need the following skills: Basic programming skills to clean or prepare data. Basic understanding of data analytics or statistics. Data Visualization.

Data Visualization 52

Data Visualization Visualization Big Data Product Management 52

Sisense

MAY 27, 2019

They also use data pipelines and workflow management tools such as Azkaban, Luigi, and Airflow and with relational SQL and NoSQL databases like Postgres and Cassandra.

Skillset 75

Skillset Cloud Computing Big Data Visualization 75

Dataversity

JANUARY 12, 2023

Open-source technologies will become even more prominent within enterprises’ data architecture over the coming year, driven by the stark budgetary advantages combined with some of the newest enterprise-friendly capabilities added to several solutions. Here are three predictions for the open-source data infrastructure space in 2023: 1.

Data Architecture 242

Data Architecture 242

Sisense

APRIL 9, 2019

In this article, we’ll dig into Hadoop, PostgreSQL, Apache Cassandra, and Elasticsearch. Apache Cassandra. Cassandra is a distributed NoSQL database that’s built to handle Big Data with high availability via an architecture that leaves no single point of failure. The power to customize Cassandra is in your hands.

Big Data 75

Big Data Visualization 75

InfoQ Articles

MARCH 25, 2024

In this article Diwan shared how the Netflix membership team does distributed systems: the architecture bets, technology choices, and operational semantics that serve the needs of Netflix’s ever-growing member base. By Surabhi Diwan

92

92

Marutitech

MAY 23, 2022

Google Cloud Platform / Amazon Web Services / DigitalOcean / Any cloud servers / On-premises servers. Programming Languages . JavaScript. React Native or Flutter. Database Management. Notifications . Firebase Cloud Messaging. Apple Push Notifications(iOS). Google Cloud Storage / Amazon S3 / Azure Blob Storage / Any cloud storage system.

User Experience 98

User Experience Project Management Artificial Intelligence Planning 98

BizAcuity

AUGUST 1, 2022

Jaspersoft is particularly resourceful as a cost-effective big data analytics solution that can connect with and present information for Cassandra Analytics, MongoDB Analytics, Hadoop Analytics, among many others. JasperSoft for Big Data Analytics. Reports and dashboards can be generated directly from the data warehouse or data lake.

IBM Support 130

IBM Support IBM cost IBM Maintenance Big Data 130

Whizlabs

JUNE 15, 2021

Keyspaces is a serverless database with Apache Cassandra, which is a distributed, wide-column store, no SQL database management system. And you can run Cassandra app codes right from AWS, which is almost like a talk-to-type skill. And they’re all happening within an AWS region. You can watch the recording of the webinar here!

Cloud Computing 52

Cloud Computing Data Warehouse Data Modelling Monitoring 52

Astera

NOVEMBER 28, 2023

Data sources can be broadly divided into six categories: Databases: These could be relational databases like MySQL, PostgreSQL, or NoSQL databases like MongoDB, Cassandra. Step 2: Identify Data Sources Recognizing your data sources is a crucial step in building a data pipeline.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

InfoQ Articles

MAY 5, 2021

In this article, author Pieter Humphrey discussed database as a service (DBaaS) and serverless data API for cloud based data management. By Pieter Humphrey.

Data Management 103

Data Management 103

Astera

JUNE 1, 2023

Examples are Cassandra and HBase. Graph databases: Data is stored in nodes and edges, optimized for data relationships. Examples are Neo4j and JanusGraph. Columnar databases: Data is stored in columns instead of rows. SQL stands for Structured Query Language, evolving since the 1970s into a powerful language for querying structured data.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Astera

JUNE 1, 2023

Examples are Cassandra and HBase. Graph databases: Data is stored in nodes and edges, optimized for data relationships. Examples are Neo4j and JanusGraph. Columnar databases: Data is stored in columns instead of rows. SQL stands for Structured Query Language, evolving since the 1970s into a powerful language for querying structured data.

Documentation 52

Documentation E-Commerce Big Data Master Data Management 52

Sisense

JUNE 5, 2019

Examples of these database technologies include MongoDB, Riak, Amazon S3, Cassandra, and Hbase. It’s no wonder, then, that NoSQL databases are seeing a lot of use in Big Data and real-time web apps.

Big Data 75

Big Data Data Warehouse 75

Whizlabs

APRIL 19, 2021

Kelly Sommers – Tech Influencer, 4x Windows Azure MVP & Former 2x DataStax MVP for Apache Cassandra. His areas of expertise range from Microsoft Cloud Computing and Microsoft Server Virtualisierung. Follow Carsten Rachfahl on Twitter and LinkedIn. She also shares her tricks to make Cloud Computing easy for everyone.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145