Remove Analytics Remove Data Processing Remove Optimization
article thumbnail

Cloud analytics migration: how to exceed expectations

CIO Business Intelligence

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

article thumbnail

Choosing the Best WordPress Hosting for a Data-Intensive Website

Smart Data Collective

You need to make sure that you have access to the right data analytics and machine learning tools. However, before you can even consider the benefits of leveraging the right big data technology for your website, you have to have the right hosting. Choosing the Right WordPress Hosting for Your Big Data Website.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg

AWS Big Data

We show how to build data pipelines using AWS Glue jobs, optimize them for both cost and performance, and implement schema evolution to automate manual tasks. This post shows how to load data from a legacy database (SQL Server) into a transactional data lake ( Apache Iceberg ) using AWS Glue. To start the job, choose Run. format(dbname)).config("spark.sql.catalog.glue_catalog.catalog-impl",

Data Lake 105
article thumbnail

5 Things Data-Driven Companies Must Look for When Buying Web Hosting

Smart Data Collective

One of the most important is selecting the right web hosting plan. The Importance of Selecting the Right Hosting Plan for Your Data-Centric Business. Having a professional website with great data analytics features will help you get the leads and conversions you need to make your business grow.

article thumbnail

The DataOps Vendor Landscape, 2021

DataKitchen

Process Analytics. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Composable Analytics — A DataOps Enterprise Platform with built-in services for data orchestration, automation, and analytics.

Testing 304
article thumbnail

Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

AWS Big Data

Zero-ETL integration with Amazon Redshift reduces the need for custom pipelines, preserves resources for your transactional systems, and gives you access to powerful analytics. dbt Cloud is a hosted service that helps data teams productionize dbt deployments. For the purposes of this post, use a dbt Cloud-hosted managed repository.

article thumbnail

FinOps is the discipline enterprises need to optimize cloud spending

CIO Business Intelligence

“The cloud makes it easy to build and grow solutions, but costs can quickly spiral out of control,” says Jay Upchurch, Executive Vice President and CIO with leading AI and analytics software company, SAS. Going back after the fact to optimize for cost while you’re still trying to operate and grow can make things even harder.”