IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Data warehouse vs. databases.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

datapine

MAY 21, 2019

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. In the past, expensive enterprise BI solutions required huge hardware resources. Welcome to the future.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Sisense

FEBRUARY 17, 2021

With more people becoming digital citizens, the ability for an application to explode in popularity has all but rendered obsolete the traditional IT hosting mindset of discrete servers performing discrete tasks. Let’s dig into three hosting models that help organizations achieve cloud flexibility.

Data Processing 52

Data Processing Modeling Technology IT 52

Cloudera

SEPTEMBER 30, 2020

In our previous blog post we introduced Cloudera Data Visualization in Cloudera Data Warehouse (CDW) available in tech preview, in CDP Public Cloud. This blog will help you get started with Cloudera Data Visualization, so you can start building interesting and powerful applications on all types of data.

Visualization 72

Visualization Data Warehouse Dashboards Data Processing 72

AWS Big Data

MARCH 6, 2025

Tens of thousands of customers use Amazon Redshift for modern data analytics at scale, delivering up to three times better price-performance and seven times better throughput than other cloud data warehouses. This makes sure that user access and roles are consistently maintained across both AWS services and external tools.

Visualization 81

Visualization Sales Data Warehouse Management 81

Cloudera

DECEMBER 2, 2021

Cloudera secures your data by providing encryption at rest and in transit, multi-factor authentication, Single Sign On, robust authorization policies, and network security. It is part of the Cloudera Data Platform, or CDP , which runs on Azure and AWS, as well as in the private cloud. Enter “0.0.0.0/0” 0” in the Whitelist IP CIDR(s).

Data Lake 123

Data Lake Data Warehouse Data Processing Interactive 123

Cloudera

NOVEMBER 12, 2020

Your sunk costs are minimal and if a workload or project you are supporting becomes irrelevant, you can quickly spin down your cloud data warehouses and not be “stuck” with unused infrastructure. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

IBM Big Data Hub

JUNE 15, 2023

It is comprised of commodity cloud object storage, open data and open table formats, and high-performance open-source query engines. To help organizations scale AI workloads, we recently announced IBM watsonx.data , a data store built on an open data lakehouse architecture and part of the watsonx AI and data platform.

Data Warehouse 86

Data Warehouse Data Lake Optimization Data-driven 86

Cloudera

APRIL 21, 2021

This cluster runs workloads for every department – from real-time user interfaces for Support to providing recommendations in the Cloudera Data Platform (CDP) Upgrade Advisor to analyzing our business and closing our books. In this blog, we discuss our journey to CDP for this critical cluster. Lessons Learned. CDP Knowledge Hub.

Testing 121

Testing Data Processing Interactive Data Warehouse 121

Cloudera

FEBRUARY 22, 2021

That benefit comes from the breadth of CDP’s analytical capabilities that translates into a unique ability to migrate different big data workloads, either from previous versions of CDH / HDP or from other cloud data warehouses and legacy on-premises data warehouses that the acquired entity might be using.

Cost-Benefit 82

Cost-Benefit Data Warehouse Data Processing Data Governance 82

datapine

FEBRUARY 22, 2022

This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Then for knowledge transfer choose the repository, best suited for your organization, to host this information. Define a budget.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Cloudera

JANUARY 26, 2022

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Data Processing 87

Data Processing IoT Data Warehouse Cost-Benefit 87

AWS Big Data

AUGUST 13, 2024

With AWS Glue, you can discover and connect to hundreds of diverse data sources and manage your data in a centralized data catalog. It enables you to visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes. Choose Store a new secret.

Data Processing 98

Data Processing Visualization Data Lake Data Processing 98

datapine

MARCH 31, 2022

On the flip side, if you enjoy diving deep into the technical side of things, with the right mix of skills for business intelligence you can work a host of incredibly interesting problems that will keep you in flow for hours on end. This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

NOVEMBER 22, 2021

In legacy analytical systems such as enterprise data warehouses, the scalability challenges of a system were primarily associated with computational scalability, i.e., the ability of a data platform to handle larger volumes of data in an agile and cost-efficient way. Introduction. public, private, hybrid cloud)?

Data Processing 94

Data Processing Data Warehouse Enterprise Visualization 94

Cloudera

MAY 23, 2024

In modern enterprises, the exponential growth of data means organizational knowledge is distributed across multiple formats, ranging from structured data stores such as data warehouses to multi-format data stores like data lakes. This contextualization is possible thanks to RAG.

Management 80

Management Metrics Data Processing Data Lake 80

Cloudera

JANUARY 19, 2024

As described in our recent blog post , an SQL AI Assistant has been integrated into Hue with the capability to leverage the power of large language models (LLMs) for a number of SQL tasks. This is a real game-changer for data analysts on all levels and will make SQL development faster, easier, and less error-prone.

Data Warehouse 72

Data Warehouse Data Processing Optimization Modeling 72

Cloudera

MAY 31, 2023

There are many benefits to these new services, but they certainly are not a one-size-fits-all solution, and this is most true for commercial enterprises looking to adopt generative AI for their own unique use cases powered by their data. How can enterprises address these challenges?

Enterprise 74

Enterprise Data Processing Machine Learning Experimentation 74

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Cloudera Data Warehouse (CDW) is here to save the day! CDW is an integrated data warehouse service within Cloudera Data Platform (CDP).

Data Warehouse 94

Data Warehouse Data Lake IT Analytics 94

Paul Blogs on BI

SEPTEMBER 8, 2021

Well firstly, if the main data warehouses, repositories, or application databases that BusinessObjects accesses are on premise, it makes no sense to move BusinessObjects to the cloud until you move its data sources to the cloud. You also have the option of hosting with a third party.

Data Warehouse 59

Data Warehouse Data Processing Data Lake Testing 59

BizAcuity

FEBRUARY 1, 2019

The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse. One of the many things that data warehouses allow is the chronological sifting of data.

Data Warehouse 73

Data Warehouse B2B Business Intelligence Data-driven 73

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 75

ROI Data Warehouse Advertising Data Processing 75

BizAcuity

SEPTEMBER 5, 2019

But more importantly, from a business and strategic viewpoint, it means that casinos are capturing consumer data into data warehouses, at different points inside the casino – the same data that is crucial for a host of purposes. These systems are amassing information into independent data warehouses.

ROI 73

ROI Data Warehouse Advertising Data Processing 73

DataRobot Blog

FEBRUARY 28, 2023

This includes: Supporting Snowflake External OAuth configuration Leveraging Snowpark for exploratory data analysis with DataRobot-hosted Notebooks and model scoring. Exploratory Data Analysis After we connect to Snowflake, we can start our ML experiment. We recently announced DataRobot’s new Hosted Notebooks capability.

Data Processing 72

Data Processing Experimentation Machine Learning Data Warehouse 72

AWS Big Data

JUNE 3, 2024

This blog post is co-written with Sid Wray and Jake Koskela from Salesforce, and Adiascar Cisneros from Tableau. Amazon Redshift is a fast, scalable cloud data warehouse built to serve workloads at any scale. For this blog post, we use the default custom authorization server. scopes, claims, and access policies.

Data Warehouse 103

Data Warehouse Reporting Testing Publishing 103

Cloudera

SEPTEMBER 2, 2020

In short, CDP Private Cloud is a game-changer for Cloudera partners as it provides opportunities to help their customers modernize their data platform by breaking up monolithic architectures without leaving their data centers! . The post CDP Private Cloud is a Game-changer for Partners appeared first on Cloudera Blog.

Cost-Benefit 69

Cost-Benefit Data Warehouse Data Lake Machine Learning 69

Cloudera

JANUARY 3, 2019

It’s clear today that the data warehouse industry is undergoing a major transformation. Our new Chief Product Officer Arun Murthy has a post up on the Hortonworks blog , explaining what the future holds in product strategy and development. The post The New Cloudera appeared first on Cloudera Blog. We intend to win.

Machine Learning 75

Machine Learning IoT Data Warehouse Enterprise 75

Cloudera

AUGUST 31, 2020

Given the prohibitive cost of scaling it, in addition to the new business focus on data science and the need to leverage public cloud services to support future growth and capability roadmap, SMG decided to migrate from the legacy data warehouse to Cloudera’s solution using Hive LLAP. The case for a new Data Warehouse?

Management 66

Management Slice and Dice Data Warehouse Analytics 66

Sisense

OCTOBER 10, 2019

When “data engineer” first started becoming a vital role for tech companies, the world was a smaller, simpler place. Engineers were primarily concerned with handling data stored in Excel spreadsheets and on local machines. Today, being a data engineer means connecting your company’s business systems to cloud-based data sources.

Data Processing 60

Data Processing Data Warehouse Digital Transformation Software 60

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. This is due to the technical nature of a data system itself.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Insight

AUGUST 20, 2019

If you want to get started with Spark, check out this blog on how to setup your very own Spark cluster on AWS here. Flink An alternative to Spark, Flink has gotten a lot of traction in the Data Engineering community. Our Fellows have used it in their projects, often in conjunction with Spark, for the exploration of Reddit data.

Data Warehouse 71

Data Warehouse Big Data Data-driven Data Processing 71

AWS Big Data

AUGUST 27, 2024

It takes in three arguments: – The Amazon S3 location of the data file that is read in by the Spark job. The input_full_path is s3://aws-blogs-artifacts-public/artifacts/BDB-2997/sample-data/input/part-00000-a0885743-e0cb-48b1-bc2b-05eb748ab898-c000.snappy.parquet He is in data and analytical field for over 14 years.

Metrics 88

Metrics Dashboards Data Lake Optimization 88

Cloudera

SEPTEMBER 29, 2022

Note that the actual technologies used to generate, store, and query the actual data may be varied — and are not even prescribed by data mesh. It is also agnostic to where the different domains are hosted. Data fabric defined. Corresponding to the data mesh example in Figure 4, D1, D2 are tables in a data warehouse.

Data Architecture 74

Data Architecture Data Warehouse Metadata Sales 74

Cloudera

MARCH 22, 2022

orchestrated data warehouse offloads with Gluent ) that enable successful migration of workloads that previously ran on legacy data platforms or older Hadoop-based distributions. The post How to Accelerate Value from Merger and Acquisition Strategies with Cloudera Data Platform (CDP) appeared first on Cloudera Blog.

Strategy 80

Strategy Cost-Benefit Risk Data Processing 80

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business.

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.

Slice and Dice 88

Slice and Dice Data Warehouse Metrics Metadata 88