FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

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. With a file system sink connector, Apache Flink jobs can deliver data to Amazon S3 in open format (such as JSON, Avro, Parquet, and more) files as data objects.

Data Lake 90

Data Lake Unstructured Data Management Modeling 90

CDW Research Hub

JULY 27, 2021

Reduce the total cost of ownership of the data infrastructure. Build the foundation for a logical data warehouse or logical data lake. Maintain one consistent business data model across all consumers and reporting tools. Reuse analytical objects across multiple tools and consuming applications.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

AWS Big Data

DECEMBER 5, 2023

HR&A Advisors —a multi-disciplinary consultancy with extensive work in the broadband and digital equity space is helping its state, county, and municipal clients deliver affordable internet access by analyzing locally specific digital inclusion needs and building tailored digital equity plans. Solutions Architect at Amazon Web Services.

Measurement 82

Measurement Dashboards Data Warehouse Analytics 82

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

Cloudera

SEPTEMBER 15, 2021

The algorithms are imperfect, but they will get better in time as they “learn” by processing more data. . Fast-changing Data. Data analytics at the edge also allow organizations to cope with another significant challenge. With analytics at the edge, researchers can adjust their work as new data comes in.

IoT 117

IoT Analytics Internet of Things Data Lake 117

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. Introducing Data Lakes.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

IBM Big Data Hub

MAY 19, 2023

With high-speed file transfer, integrated services and cross-region offerings, IBM Cloud Object Storage allows you to leverage your data securely. In addition, it helps to reduce backup costs, provide permanent access to archived data, store data for cloud-native applications and create data lakes for big data analytics and AI.

Unstructured Data 81

Unstructured Data Data Processing Manufacturing Data Lake 81

AWS Big Data

APRIL 19, 2023

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. Sandeep Singh is a Lead Consultant at AWS ProServe, focused on analytics, data lake architecture, and implementation.

Metadata 80

Metadata Testing Data Lake Consulting 80

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

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

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Overall, DataOps is an essential component of modern data-driven organizations. Query> DataOps. Query> Write an essay on DataOps.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

Alation

FEBRUARY 13, 2020

There is plenty of market validation for the value of data catalogs. Gartner analysts Ehtisham Zaidi and Guido de Simoni recently wrote that data catalogs are a “ must-have for data analytics leaders.” But what is the value of the Alation Data Catalog in dollars and cents (or euros or yen)?

ROI 52

ROI Cost-Benefit Unstructured Data Data Lake 52

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. To get started with this feature, see Querying the AWS Glue Data Catalog.

Data Analytics 91

Data Analytics Analytics Data Warehouse Data Lake 91

AWS Big Data

APRIL 20, 2023

For sales across multiple markets, the product sales data such as orders, transactions, and shipment data is available on Amazon S3 in the data lake. The data engineering team can use Apache Spark with Amazon EMR or AWS Glue to analyze this data in Amazon S3.

Data Lake 77

Data Lake Data Warehouse Sales Data-driven 77

Andrew White

OCTOBER 25, 2019

Here is my final analysis of my 1-1s and interactions this week: Topic: Data Governance 28. Vision/Data Driven/Outcomes 28. Data, analytics, or D&A Strategy 21. Modern) Master Data Management 18. Data lake 4. Data Literacy 4. IoT/Streaming data 1. Senior Consultant 1.

Recreation/Entertainment 40

Recreation/Entertainment IT Data Lake Data-driven 40

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

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

Cloudera

NOVEMBER 17, 2022

HBL started their data journey in 2019 when data lake initiative was started to consolidate complex data sources and enable the bank to use single version of truth for decision making. and primarily served regulatory reporting and internal analytics requirements. Smooth, hassle-free deployment in just six weeks.

Management 83

Management Data Lake Consulting Unstructured Data 83

BizAcuity

SEPTEMBER 5, 2022

However, many Game Studios struggle with implementing analytics tools and solutions for their business for two main reasons-. Inability to get player level data from the operators. A typical data warehouse takes around 6 months to be built and requires a skilled IT team to ensure smooth ETL and workflow performance.

Visualization 98

Visualization Analytics Data Warehouse Consulting 98

BizAcuity

MAY 10, 2022

Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. Data management solutions will need to keep up with the data demands of the next few years. Data lakes or data lake houses alone cannot solve the efficiency problem.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

NOVEMBER 30, 2023

With AWS Glue, you can discover and connect to more than 100 diverse data sources and manage your data in a centralized data catalog. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.

IT 96

IT Visualization Machine Learning Data Integration 96

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

IBM Big Data Hub

MAY 9, 2023

A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Optimized for all data, analytics and AI workloads, watsonx.data combines the flexibility of a data lake with the performance of a data warehouse, helping businesses to scale data analytics and AI anywhere their data resides.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

Sisense

DECEMBER 11, 2019

We hosted over 150 people from more than 100 companies, who gathered to learn why data can supercharge their companies and how harnessing the huge power of data can take business from startup to unicorn. Diving deeper into the datasphere: Data lakes — best practices. shone the spotlight on best practices with data lakes.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

AUGUST 8, 2019

Plus, we’re seeing how these issues surface in regulated environments, which have increasingly become target use cases for the popular open source projects used for data analytics infrastructure: Spark, Jupyter, Kafka, etc. Data governance, for the win! Nothing Spreads Like Fear”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Andrew White

JANUARY 11, 2021

As with any good consulting response, “it depends.” Do you recommend a consulting approach strategy rather than a CDO strategy? Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. Data lakes don’t offer this nor should they. It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

DECEMBER 21, 2023

To bring their customers the best deals and user experience, smava follows the modern data architecture principles with a data lake as a scalable, durable data store and purpose-built data stores for analytical processing and data consumption.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

Jet Global

JUNE 13, 2022

But when month and year-end close demand reports specifically tailored to your business, financial professionals must rely on overtaxed IT departments and outside consultants to build them. When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52

Jet Global

APRIL 26, 2022

This skills shortage can leave you reliant on partner consultants. You are either dependent on very limited internal resources or you face a long wait for an external consultant – and the inevitable costs due to high demand. So, this creates a further resource crunch. With the release of Jet Reports 22.1,

Reporting 52

Reporting Finance Cost-Benefit Forecasting 52