AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 98

Data Warehouse Testing Data Lake Data-driven 98

CIO Business Intelligence

NOVEMBER 22, 2022

Real-time data gets real — as does the complexity of dealing with it CIOs should prioritize their investment strategy to cope with the growing volume of complex, real-time data that’s pouring into the enterprise, advises Lan Guan, global data and AI lead at business consulting firm Accenture.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

DataKitchen

AUGUST 27, 2021

Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. This analytics function is so crucial to product success that the data team often reports directly into sales and marketing. The Otezla team built a system with tens of thousands of automated tests checking data and analytics quality.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CDW Research Hub

JULY 27, 2021

Data volumes are growing exponentially, and traditional, on-premises data warehouses are constrained, overly complex, and costly to scale. In this way, the Cloud Data Warehouse Accelerator enables a seamless transition to Snowflake. Reduce the total cost of ownership of the data infrastructure.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

AWS Big Data

APRIL 4, 2024

For more information about data quality use cases, refer to Getting started with AWS Glue Data Quality from the AWS Glue Data Catalog and AWS Glue Data Quality. Akhil is a Lead Consultant at AWS Professional Services. Ramesh Raghupathy is a Senior Data Architect with WWCO ProServe at AWS.

Data Quality 62

Data Quality Data Lake Data Warehouse Data-driven 62

Smart Data Collective

APRIL 29, 2020

Solutions for the various data management processes need to be carefully considered. Extensive planning and taking discussions on the best possible strategies with the different teams and external consultation should be a priority. Data transformation. Data analytics and visualisation. Reference data management.

Management 84

Management Data Warehouse Digital Transformation Dashboards 84

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse). Apache Hive.

Metrics 84

Metrics Slice and Dice Data Warehouse Dashboards 84

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications. Watch this video for a quick overview of the process.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Cloudera

OCTOBER 11, 2022

I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”. Al needs machine learning (ML), ML needs data science.

Snapshot 90

Snapshot Data Science Digital Transformation Metadata 90

DataKitchen

JANUARY 3, 2022

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

Sisense

APRIL 17, 2020

“I recommend starting your data strategy with a right-to-left approach, focusing on the desired business outcomes first, instead of the data, to support those outcomes,” says Charles Holive, Sisense Managing Director of Data Monetization and Strategy Consulting. Define your desired outcome — before you start building.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

datapine

MARCH 31, 2022

Getting an entry-level position at a consulting firm is also a great idea – the big ones include IBM, Accenture, Deloitte, KPMG, and Ernst and Young. Another excellent approach is to gain experience directly in the office of a BI provider, working as a data scientist or a data visualization intern , for instance. BI consultant.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. About the authors Vinay Kumar Khambhampati is a Lead Consultant with the AWS ProServe Team, helping customers with cloud adoption. He is passionate about big data and data analytics.

Metadata 80

Metadata Testing Data Lake Consulting 80

datapine

JANUARY 24, 2021

.” – Capgemini and EMC² in their study Big & Fast Data: The Rise of Insight-Driven Business. This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions. ETL data warehouse*.

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

AUGUST 28, 2023

It’s no wonder then that Macmillan needs sophisticated business intelligence (BI) and data analytics. Additionally, the users’ demand for more and more analytics grew organically over time, to the point where it far exceeded our technology team’s bandwidth to support it on their own.

Publishing 54

Publishing Analytics Business Intelligence Operational Reporting 54

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. We use on-demand capacity mode.

Data Analytics 91

Data Analytics Analytics Data Warehouse Data Lake 91

Alation

MARCH 29, 2022

This led to the birth of separate systems for reporting: the enterprise data warehouse. For the first time, the focus of a system became business questions, where data was denormalized. To be data-driven means everyone should ask questions and have access to tools and data to pursue answers.”.

Business Intelligence 96

Business Intelligence Reporting Data mining Digital Transformation 96

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 77

Data Lake Data Warehouse Sales Data-driven 77

AWS Big Data

FEBRUARY 9, 2023

This post was co-written with Amit Shah, Principal Consultant at Atos. Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. In this architecture, you use Amazon AppFlow to filter and transfer the data to your Snowflake data warehouse.

Data Warehouse 76

Data Warehouse Data-driven Snapshot Testing 76

AWS Big Data

MARCH 25, 2024

To understand the best ways to make API calls via Apache Flink, refer to Common streaming data enrichment patterns in Amazon Kinesis Data Analytics for Apache Flink. He works backward from customer’s use cases and designs data solutions to solve their business problems. versions).

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Jet Global

OCTOBER 30, 2020

In this article, we will examine some of the key changes of which you need to be aware in a way that will enable you to find some common ground with the technical experts in the IT department or the consultants who are helping you to migrate. Data lakes are oriented toward unstructured data and artificial intelligence.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Alation

APRIL 25, 2023

This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. Data Extraction If you choose to maintain ownership of your data, you’ll need a way to transfer it from your central data warehouse to the operational tool that’ll help put it to use.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Alation

APRIL 25, 2023

This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. Data Extraction If you choose to maintain ownership of your data, you’ll need a way to transfer it from your central data warehouse to the operational tool that’ll help put it to use.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 95

Data Warehouse Cost-Benefit Dashboards Optimization 95

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Amaterasu — is a deployment tool for data pipelines.

Testing 307

Testing Machine Learning Consulting Data Quality 307

IBM Big Data Hub

SEPTEMBER 26, 2023

States’ existing investments in modernizing and enhancing ancillary supportive technologies (such as document management, web portals, mobile applications, data warehouses and location services) could negate the need for certain system requirements as part of the child support system modernization initiative.

Consulting 99

Consulting Cost-Benefit Technology Strategy 99

BizAcuity

SEPTEMBER 5, 2022

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. BizAcuity [ISO 9001:2015, 27001:2013 certified], is a data analytics consulting company.

Visualization 98

Visualization Analytics Data Warehouse Consulting 98

IBM Big Data Hub

MAY 9, 2023

With watsonx.data , businesses can quickly connect to data, get trusted insights and reduce data warehouse costs. A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Put AI to work in your business with IBM today IBM is infusing watsonx.ai

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

CDW Research Hub

OCTOBER 25, 2021

An Embrace connection is a feature in ThoughtSpot that allows you to access data stored externally in a data warehouse. In this video, we will cover: How to create an Embrace connection in ThoughtSpot to retrieve data from Snowflake. Stay tuned for the next video in our Snowflake Immersion Days series.

Data Warehouse 52

Data Warehouse Structured Data Consulting Strategy 52

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

MARCH 14, 2024

This service streamlines data management for AI workloads across hybrid cloud environments and facilitates the scaling of Db2 databases on AWS with minimal effort. Also, IBM Consulting® and AWS have collaborated to help mutual clients to operationalize and derive value from their data for generative AI (gen AI) use cases. 

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

CDW Research Hub

JANUARY 20, 2022

Sirius provides Snowflake consulting, professional and managed services for data platform modernization, and data migration, to help you achieve more insight from your data. Selecting columns to add to the worksheet. Stay tuned for the next video in our Snowflake Immersion Days series.

Structured Data 89

Structured Data Consulting Strategy Data Strategy 89