Sisense

JULY 10, 2019

A couple of weeks ago, we officially launched the Cloud-Native Sisense on Linux deployment after a successful beta release cycle that kick-started in Spring 2019. As of 2017, Linux was running 90% of the public cloud workload. They started with C/C++ code, which usually takes the longest to migrate from Windows to Linux.

IT 69

IT Testing Technology Sales 69

Sisense

JUNE 24, 2019

It’s also an opportunity to simplify your life if you choose the right solution. While you’re moving all your data over to your chosen cloud solution you can choose to use a service to handle the tedious details for you so that you can stay on top of the larger challenges that only a human can solve.

Management 75

Management Software Risk IT 75

IBM Big Data Hub

DECEMBER 15, 2023

Open-source artificial intelligence (AI) refers to AI technologies where the source code is freely available for anyone to use, modify and distribute. Leveraging existing libraries and tools, small teams of developers can build valuable applications for diverse platforms like Microsoft Windows, Linux, iOS and Android.

Deep Learning 65

Deep Learning Experimentation Machine Learning Risk 65

Hurwitz & Associates

NOVEMBER 6, 2018

As a Red Hat business partner, IBM already had access to Red Hat technologies; Red Hat Enterprise Linux (RHEL), OpenShift containers, JBoss middleware and Kubernetes orchestration tools. IBM sees Red Hat as a catalyst, a company that will fuel faster IBM revenue growth in hybrid cloud – and contribute to IBM’s overall top-line revenue.

Sales 40

Sales Software Marketing Optimization 40

AWS Big Data

FEBRUARY 26, 2024

This allows for the uniform distribution of data across all partitions within your table, thereby enabling your applications to achieve optimal read and write throughput. Amazon Keyspaces (for Apache Cassandra) is a fully managed, serverless, and Apache Cassandra-compatible database service offered by AWS.

Dashboards 63

Dashboards Testing Metrics Optimization 63

Hurwitz & Associates

OCTOBER 26, 2019

The Oracle Gen 2 Cloud data centers are outfitted with scalable Oracle Exadata systems, built with Intel x86 processors, Oracle Linux and flash storage, to support and manage enterprise workloads. The Oracle Gen 2 capabilities were designed to reduce hands-on management time by IT staffers, reducing enterprise customers’ operational costs.

Enterprise 40

Enterprise Software Strategy Reporting 40

Cloudera

APRIL 23, 2021

Introduction: Encryption of Data at Rest is a highly desirable or sometimes mandatory requirement for data platforms in a range of industry verticals including HealthCare, Financial & Government organizations. HDFS Encryption delivers transparent end-to-end encryption of data at rest and is an integral part of HDFS.

Data Processing 73

Data Processing Metadata Testing Management 73

AWS Big Data

JULY 6, 2023

For instance, time series describing the quantity of solar energy reaching specific geographical points can help in designing photovoltaic power plants, monitoring their operation, and detecting yield loss. But what if the data is multidimensional and provided in a domain-specific format, like in the use case that we want to tackle?

Machine Learning 130

Machine Learning Visualization IoT Digital Transformation 130

Cloudera

OCTOBER 8, 2021

Mostly these adjacent services can be isolated by enabling static services pools which use Linux cgroups to fix CPU and memory allocations for each respective service. A client submits its queries to a coordinator which takes care of distributing query execution across the workers of the cluster. . Introduction.

Data Processing 83

Data Processing Statistics Risk Optimization 83

Smart Data Collective

JUNE 23, 2022

You may also want to read this article if you want to see if a Linux dedicated server is right for your business. Starting a website is always connected with choosing the right solutions for its different aspects. However, big data won’t do much good for your business if you don’t have the means to store it.

Data Processing 97

Data Processing Big Data Measurement Software 97

AWS Big Data

MARCH 13, 2024

Ray is an open source, Python, general purpose, distributed computing library. It allows distributed data processing to generate and store embeddings for a large amount of data, parallelizing across multiple GPUs. For building any generative AI application, enriching the large language models (LLMs) with new data is imperative.

Data Processing 112

Data Processing Dashboards Machine Learning Management 112

IBM Big Data Hub

NOVEMBER 13, 2023

A pod operates one or more Linux containers and can run in multiples for scaling and failure resistance. While Docker includes its own orchestration tool, called Docker Swarm , most developers choose Kubernetes container orchestration instead. A key advantage of using Kubernetes for large-scale cloud app deployment is autoscaling.

Machine Learning 109

Machine Learning Data-driven Software Testing 109

AWS Big Data

MARCH 20, 2023

In the first post of this series , we described how AWS Glue for Apache Spark works with Apache Hudi, Linux Foundation Delta Lake, and Apache Iceberg datasets tables using the native support of those data lake formats. These data lake frameworks help you store data more efficiently and enable applications to access your data faster.

Visualization 81

Visualization Data Lake Snapshot Big Data 81

Sisense

APRIL 9, 2019

Linux is one of the most prolific operating systems on the planet precisely because it is open source, freely available, and infinitely customizable. The secret to its speed and success in adapting to the current market could be its distributed cloud-storage model, which allows it to process extremely large datasets. PostgreSQL.

Analytics 75

Analytics Software Big Data IoT 75

IBM Big Data Hub

FEBRUARY 29, 2024

Linux namespaces and cgroups, Windows silos and job objects) can be leveraged to isolate processes and control the amount of CPU, memory and disk that those processes can access. Containers are all about distributing and protecting data and running apps. Container management has come a long way. What is a container?

Software 84

Software Data Processing Marketing Optimization 84

CIO Business Intelligence

MAY 24, 2023

This is critical in a world increasingly given to distributed computing, where applications run within and outsideorganizations’ four walls. If there is one thing developers prize above all else today, it’s the option to run applications they want where they want, when they want. One way to do that is through bare metal servers.

Strategy 52

Strategy Software Optimization Finance 52

Occam's Razor

SEPTEMBER 29, 2009

I love watching the IBM ads (with the Linux kid perhaps the best of the lot). I love watching the IBM ads (with the Linux kid perhaps the best of the lot). Paid Search or affiliates or email or display or YouTube or whatever channel you end up choosing. [ " Admit it, you've heard it. I love campaigns that Visa runs.

Measurement 128

Measurement Metrics Analytics Marketing 128

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way.

Machine Learning 72

Machine Learning Manufacturing Cost-Benefit Deep Learning 72

Insight

SEPTEMBER 10, 2019

Installing Spark from scratch and getting it to run in a distributed mode on a cloud computing system can be a hurdle for many new data engineers. Are you interested in working on high-impact projects and transitioning to a career in data? Sign up to learn more about the Insight Fellows programs and start your application today. US East (N.

Metadata 40

Metadata Data Processing Technology Data Science 40