Metclouds Technologies is pleased to announce that we are G-Cloud 13 approved. We offer cloud support for large and complex requirements. About G-Cloud Framework G-cloud is an initiative from the UK government for companies interested in selling their cloud computing solutions to the UK government. Here, cloud computing services include cloud hosting services, cloud [...]
Cloud computing is the on-demand delivery of IT resources over the internet. Here you can access technology services, such as computing power, storage, and databases, on an as-needed basis for your enterprise. Engineering and manufacturing enterprises will have a large volume of data. With cloud adoption, you can access this data distributed over the [...]
As today's world is of IoT devices and distributed applications that generate a ton of data, it is necessary to analyze those data to make them valuable. Azure Stream Analytics No-Code Editor makes this job of analytics easier. With the help of the drag-and-drop interface, you can easily create an analytics job without writing [...]
BigQuery is a Google Cloud Service fully managed data warehouse to analyze data using SQL. BigTable is a NoSQL database for data from Gigabytes to Exabytes. Before, BigQuery used ETL tools to read data from BigTable. Now, Google has initiated the Zero-ETL approach to read BigTable data using BigQuery. This approach will make data [...]
Azure Data Explorer supports data ingestion from a wide range of sources. And now ADX supports data Ingestion from AWS consulting service Amazon S3 (Single Storage Service). With the support of Amazon S3, it is easy for ADX to bring data from S3 natively without passing it on to complex processes like ETL pipelines. This [...]
Amazon Redshift ODBC driver is a powerful tool that enables access to live Amazon Redshift data directly from any application from anywhere. The ODBC driver interface reads, writes, and updates Amazon Redshift data. As Amazon Redshift announces an open source ODBC driver you can gain enhanced visibility and can contribute to driver development. Amazon [...]
Apache Hadoop YARN is a cluster resource manager which assigns, schedules, and monitors different functionalities in resource management. Amazon AWS uses Apache Hadoop YARN by default, by configuring Hadoop YARN’s Capacity on AWS EMR on Amazon EC2 increases cluster efficiency and solves the challenges over resource allocation, resource contention, and job scheduling in a [...]
