IBM Big Data Hub

AUGUST 28, 2023

This data is leveraged by departments throughout the organization and is essential to their business operations. Such data helps decide how many books to print initially and in which format, how many to print in the future, key pricing decisions and a host of other important business decisions.

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

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 Risk Metadata 106

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

AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. For IAM role ¸ choose GlueBlogRole.

Sales 52

Sales Data Warehouse Visualization Testing 52

Cloudera

SEPTEMBER 12, 2018

AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. Modern Data Warehousing: Barclays (nominated together with BlueData ). Technical Impact. Enterprise Machine Learning: .

Machine Learning 46

Machine Learning Big Data Data Science Data Warehouse 46

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

JUNE 6, 2023

It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines. Data quality at rest focuses on validating the data stored in data lakes, databases, or data warehouses. It ensures that the data meets specific quality standards before it is consumed.

Data Quality 70

Data Quality Data Lake Visualization Data-driven 70

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Genie — Distributed big data orchestration service by Netflix.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. In the past, data movement was defined by ETL: extract, transform, and load.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

IBM Big Data Hub

APRIL 8, 2024

Can Amazon RDS for Db2 be used for running data warehousing workloads? Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS Are there any constraints on the number of databases that can be hosted on an instance?

Snapshot 69

Snapshot Data Warehouse Data Processing Management 69

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 84

Slice and Dice Data Warehouse Metrics Metadata 84

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?

Slice and Dice 66

Slice and Dice Management Data Warehouse Analytics 66

BizAcuity

MAY 10, 2022

And how this transformation will impact businesses in the short and long run is the main discussion in this blog. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

datapine

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore. The Benefits Of Ad Hoc Reporting And Analysis. ” – John Dryden.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

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 62

Data Warehouse Reporting Testing Management 62

IBM Big Data Hub

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. The next generation of IBM Db2 Warehouse brings a host of new capabilities that add cloud object storage support with advanced caching to deliver 4x faster query performance than previously, while cutting storage costs by 34x 1.

Data Warehouse 48

Data Warehouse Testing Sales Dashboards 48

Cloudera

AUGUST 21, 2020

And next to those legacy ERP, HCM, SCM and CRM systems, that mysterious elephant in the room – that “Big Data” platform running in the data center that is driving much of the company’s analytics and BI – looks like a great potential candidate. . Big Data is an ecosystem as well as a philosophy.

Cost-Benefit 77

Cost-Benefit Big Data ROI Risk 77

IBM Big Data Hub

JANUARY 10, 2023

This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

IBM Big Data Hub

JULY 17, 2023

In this blog, I will cover: What is watsonx.ai? sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. What capabilities are included in watsonx.ai?

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

IBM Big Data Hub

SEPTEMBER 27, 2023

The attack-path view shows which hosts and assets have been impacted, while the network activity view shows if data has leaked and lateral movement has happened where malicious actions have taken place. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 95

Cost-Benefit OLAP Dashboards Visualization 95

Cloudera

JANUARY 3, 2019

This year, we’re making a big one. On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. It’s clear today that the data warehouse industry is undergoing a major transformation.

IoT 75

IoT Machine Learning Data Warehouse Enterprise 75

IBM Big Data Hub

MARCH 25, 2022

Advancements in software and hardware had an interplay between the rising appetite for any organization making a data-driven decision. In this blog, one of the key inventors in modern databases helps illuminate the evolution of databases, business use cases and unique perspectives being at the ground floor of innovation.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70

Cloudera

NOVEMBER 13, 2017

As the market moves toward cloud-based big data and analytics, three qualities emerge as vital for success. The net result is much improved productivity for data engineers, data scientists, and analysts. Unified – Conceptually, cloud sounds like a single place to host diverse, data-intensive functions.

Analytics 40

Analytics Big Data Machine Learning Cost-Benefit 40

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 85

Data Lake Dashboards Metrics Metadata 85

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

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 87

Data Warehouse Data Lake Optimization Data-driven 87

Cloudera

FEBRUARY 22, 2021

For future acquisitions, the two different CDP form factors ( CDP Private Cloud and CDP Public Cloud ) will serve as the single landing zone for all big data workloads of the acquired entity, accelerating IT integration activities and ensuring technology standardization and rationalization between our client and the acquired entity.

Cost-Benefit 83

Cost-Benefit Data Warehouse Data Processing Data Governance 83

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 97

Data Processing Data Warehouse Enterprise Visualization 97

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. data streaming, data engineering, data warehousing etc.),

Cost-Benefit 86

Cost-Benefit Data-driven Machine Learning Data Warehouse 86

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 83

Strategy Cost-Benefit Risk Data Processing 83