Cloudera

AUGUST 18, 2021

The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. technologies. For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data.

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

AWS Big Data

MARCH 7, 2023

A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Alation

FEBRUARY 13, 2020

A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives. I know in February of 2017 Munich Re launched their own innovative platform as a cornerstone for analytics that involved a big data lake and a data catalog.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. However, analyzing large volumes of data can be a time-consuming and resource-intensive task. This is where Athena come in.

Forecasting 72

Forecasting Management IoT Data-driven 72

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

FEBRUARY 6, 2023

He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services. He has a specialty in big data services and technologies and an interest in building customer business outcomes together. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Dashboards 72

Dashboards Optimization Data Lake Cost-Benefit 72

In(tegrate) the Clouds

DECEMBER 21, 2015

I enjoy the end of the year technology predictions, even though it’s hard to argue with this tweet from Merv Adrian: By 2016, 99% of readers will be utterly sick of predictions. 2016 will be the year of the data lake. I can’t help it. Merv Adrian (@merv) December 19, 2015. platform.twitter.com/widgets.js.

Technology 45

Technology Internet of Things Digital Transformation Software 45

Sanjeev Mohan

JANUARY 15, 2018

I have been working as a research analyst responsible for the Big Data topics for the last year. So, my goal is to write about all things data. However, for my first blog, I thought of writing a paean to my admiration for data. I find the space of Big Data both intellectually stimulating and challenging.

Data Lake 45

Data Lake IoT Big Data Interactive 45

Cloudera

DECEMBER 19, 2018

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. Big Data Technologies and Architectures.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. The analytics and data platform is powering different data needs, use cases, and growth.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos.

Data Lake 46

Data Lake Finance Data Governance Big Data 46

Sisense

JUNE 12, 2019

Soon after, we announced the release of Sisense Hunch which provides the ability to transform even the most massive data sets into a deep neural net which can be placed anywhere, even on an IoT device. Living in a World of Big Data. It all starts with the data. Our investment in AI is paying off in spades.

Analytics 75

Analytics Data-driven Dashboards IoT 75

CIO Business Intelligence

JUNE 29, 2022

Data Factory includes features such as “ code by example ” to help users build queries but also has options to use languages such as Python, Java, and.NET with Git and CI/CD support, making it particularly useful for migrating SQL Server Integration Services to Azure. Azure Data Explorer. Azure Data Lake Analytics.

Data Lake 114

Data Lake Analytics Data Warehouse Machine Learning 114

AWS Big Data

JUNE 29, 2023

Kinesis Data Analytics Studio uses Apache Zeppelin as the notebook, and uses Apache Flink as the stream processing engine. Kinesis Data Analytics Studio notebooks seamlessly combine these technologies to make advanced analytics on data streams accessible to developers of all skill sets. Choose Next. Choose Create stack.

Data Analytics 71

Data Analytics Analytics IoT Data Lake 71

DataKitchen

JULY 27, 2023

Let’s go through the ten Azure data pipeline tools Azure Data Factory : This cloud-based data integration service allows you to create data-driven workflows for orchestrating and automating data movement and transformation. You can use it for big data analytics and machine learning workloads.

Machine Learning 130

Machine Learning Cost-Benefit Data Transformation Testing 130

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 77

Data Lake Data Analytics Analytics Data Processing 77

BizAcuity

MAY 10, 2022

Cloud technology and innovation drives data-driven decision making culture in any organization. It is the epitome of modern technology right now with multi-dimensional innovations shaping every layer. Cloud technology has been around since the mid-2000s. Cloud technology is a fascinating subject.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

JANUARY 18, 2023

In another decade, the internet and mobile started the generate data of unforeseen volume, variety and velocity. It required a different data platform solution. Hence, Data Lake emerged, which handles unstructured and structured data with huge volume. data virtualization) play a key role.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 86

Data-driven Data Lake Data Warehouse Cost-Benefit 86

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Real-time streaming data technologies are essential for digital transformation.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 72

IoT Prescriptive Analytics Digital Transformation Internet of Things 72

Cloudera

SEPTEMBER 6, 2022

Previously, there were three types of data structures in telco: . Entity data sets — i.e. marketing data lakes . Crucially, the data mesh links the fabric and the lakehouse to the highest levels of the business, to LOB leaders, and enables the deployment of data as a strategic asset rather than a mere cost. .

Data Architecture 82

Data Architecture Cost-Benefit Digital Transformation Business Driver 82

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

FEBRUARY 21, 2023

At the heart of all data warehousing is integration, and this layer contains integrated data from multiple sources built around the enterprise-wide business keys. Although data lakes resemble data vaults, a data vault provides more features of a data warehouse. What is a hybrid model?

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Alation

FEBRUARY 20, 2020

The rise of data lakes, IOT analytics, and big data pipelines has introduced a new world of fast, big data. This new world of analytics has introduced a different set of complexities that have propelled IT organizations to build new technology infrastructures.

Data Governance 52

Data Governance Data Lake Dashboards Big Data 52