Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Why Use an Interactive Analytics Application?

Analytics 130

Analytics Analytics Data Warehouse Business Intelligence 130

Alation

FEBRUARY 20, 2020

For many enterprises, a hybrid cloud data lake is no longer a trend, but becoming reality. With a cloud deployment, enterprises can leverage a “pay as you go” model; reducing the burden of incurring capital costs. The Problem with Hybrid Cloud Environments. Conclusion.

Data Lakes 52

Data Lakes Cloud Data AWS Tableau 52

Data Science Blog

MAY 15, 2023

tl;dr Ein Data Lakehouse ist eine moderne Datenarchitektur, die die Vorteile eines Data Lake und eines Data Warehouse kombiniert. Die Definition eines Data Lakehouse Ein Data Lakehouse ist eine moderne Datenspeicher- und -verarbeitungsarchitektur, die die Vorteile von Data Lakes und Data Warehouses vereint.

Data Warehouse 147

Data Warehouse Data Lakes Azure AWS 147

Data Science Dojo

SEPTEMBER 11, 2024

Microsoft Fabric aims to reduce unnecessary data replication, centralize storage, and create a unified environment with its unique data fabric method. Microsoft Fabric is a cutting-edge analytics platform that helps data experts and companies work together on data projects. What is Microsoft Fabric?

Power BI 284

Power BI Data Pipeline Data Warehouse Data Engineering 284

Analytics Vidhya

MARCH 5, 2023

HDInsight works seamlessly with the Hadoop ecosystem, which includes technologies like MapReduce, Hive, […] The post Top 6 Microsoft HDFS Interview Questions appeared first on Analytics Vidhya.

Hadoop 319

Hadoop Azure Analytics Analytics 319

Dataversity

JANUARY 28, 2021

It has been ten years since Pentaho Chief Technology Officer James Dixon coined the term “data lake.” While data warehouse (DWH) systems have had longer existence and recognition, the data industry has embraced the more […]. The post A Bridge Between Data Lakes and Data Warehouses appeared first on DATAVERSITY.

Data Lakes 59

Data Lakes Data Warehouse Data Quality Data Governance 59

Tableau

JULY 28, 2021

Our mission at Tableau is to help customers see and understand their data. To accomplish this, customers need to be able to access whatever data is important to their analytic needs, wherever it lives. An increasing number of customers have adopted data lakes as the foundation of their data platform.

Data Lakes 52

Data Lakes Tableau Cloud Data Cloud Computing 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 102

Tableau Data Lakes Data Warehouse SQL 102

IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 58

Data Warehouse Cloud Data Analytics Analytics 58

phData

APRIL 4, 2023

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data Data Science 52

phData

NOVEMBER 8, 2024

The most used open table formats currently are Apache Iceberg, Delta Lake, and Apache Hudi. These systems are built on open standards and offer immense analytical and transactional processing flexibility. Adopting an Open Table Format architecture is becoming indispensable for modern data systems. Why are They Essential?

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Data Science 101

NOVEMBER 7, 2019

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake. Azure Synapse.

Data Science 106

Data Science Azure SQL Machine Learning 106

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

Flipboard

NOVEMBER 24, 2023

This offering enables BMW ML engineers to perform code-centric data analytics and ML, increases developer productivity by providing self-service capability and infrastructure automation, and tightly integrates with BMW’s centralized IT tooling landscape.

ML 153

ML ML AWS AI 153

Dataversity

MARCH 6, 2023

Data lakes and semantic layers have been around for a long time – each living in their own walled gardens, tightly coupled to fairly narrow use cases. As data and analytics infrastructure migrates to the cloud, many are challenging how these foundational technology components fit in the modern data and analytics stack.

Data Lakes 52

Data Lakes Analytics Analytics Cloud Data 52

Tableau

JUNE 8, 2021

Domain experts, for example, feel they are still overly reliant on core IT to access the data assets they need to make effective business decisions. In all of these conversations there is a sense of inertia: Data warehouses and data lakes feel cumbersome and data pipelines just aren't agile enough.

Tableau 52

Tableau Data Lakes Data Warehouse SQL 52

Data Science Blog

MARCH 14, 2023

Big Data Analytics erreicht die nötige Reife Der Begriff Big Data war schon immer etwas schwammig und wurde von vielen Unternehmen und Experten schnell auch im Kontext kleinerer Datenmengen verwendet. 2 Denn heute spielt die Definition darüber, was Big Data eigentlich genau ist, wirklich keine Rolle mehr.

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Dataversity

MARCH 17, 2021

I do not think it is an exaggeration to say data analytics has come into its own over the past decade or so. What started out as an attempt to extract business insights from transactional data in the ’90s and early 2000s has now transformed into an […]. appeared first on DATAVERSITY.

Analytics 52

Analytics Analytics Data Lakes Data Warehouse 52

Flipboard

AUGUST 17, 2023

Amazon Redshift is the most popular cloud data warehouse that is used by tens of thousands of customers to analyze exabytes of data every day. AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development.

ML 123

ML ML AWS Data Warehouse 123

phData

APRIL 29, 2024

In our previous blog, Top 5 Fivetran Connectors for Financial Services , we explored Fivetran’s capabilities that address the data integration needs of the finance industry. Now, let’s cover the healthcare industry, which also has a surging demand for data and analytics, along with the underlying processes to make it happen.

SQL 52

SQL Data Warehouse Azure Cloud Data 52

Precisely

JANUARY 25, 2024

Today’s cloud systems excel at high-volume data storage, powerful analytics, AI, and software & systems development. Cloud-based DevOps provides a modern, agile environment for developing and maintaining applications and services that interact with the organization’s mainframe data. Best Practice 2.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

AWS Machine Learning Blog

SEPTEMBER 5, 2023

We have over 50 TB of historical equipment data and expect this data to grow quickly as more HVAC units are connected to the cloud. Data processing and model inference need to scale as our data grows. About the Authors Ravi Patankar is a technical leader for IoT related analytics at Carrier’s Residential HVAC Unit.

AWS 120

AWS ML ML Machine Learning 120

Alation

DECEMBER 14, 2021

Compliance in the Cloud ( GDPR, CCPA ) is still in in its infancy and tough to navigate, with people wondering: How do you manage policies in the cloud? How do you provide access and connect the right people to the right data? AWS has created a way to manage policies and access, but this is only for data lake formation.

AWS 52

AWS Data Lakes Data Warehouse Machine Learning 52

IBM Journey to AI blog

MAY 9, 2023

A data store built on open lakehouse architecture, it runs both on premises and across multi-cloud environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] Savings may vary depending on configurations, workloads and vendors.

AI 110

AI AI Data Warehouse Machine Learning 110

IBM Journey to AI blog

JULY 17, 2023

Visual modeling: Delivers easy-to-use workflows for data scientists to build data preparation and predictive machine learning pipelines that include text analytics, visualizations and a variety of modeling methods. ” Vitaly Tsivin, EVP Business Intelligence at AMC Networks.

AI 74

AI AI Machine Learning Machine Learning 74

Alation

MARCH 1, 2022

Bill Hostmann, VP and Research Fellow at Dresner Advisory Services agrees “Data catalogs have emerged as a core set of capabilities for making content easier to find for analytic use cases, especially when there are multiple data sources being accessed for various analytic use cases.

Data Warehouse 52

Data Warehouse Data Lakes Cloud Data Database 52

Precisely

JANUARY 19, 2023

Open source is enabling a “modernize in place” approach to mainframe technology by offering community-driven tools to bridge the gap to modern cloud-based systems. Data Integration Enterprises are betting big on analytics, and for good reason. The volume, velocity, and variety of data is growing exponentially.

AWS 52

AWS Cloud Computing Data Pipeline Big Data 52

phData

AUGUST 9, 2023

ELT enables access to raw data in the warehouse, powers a DevOps-based style of data integration, and taps into the parallel processing power of modern cloud-based data platforms. In short, ELT exemplifies the data strategy required in the era of big data, cloud, and agile analytics.

ETL 52

ETL Data Warehouse Cloud Data Big Data 52

Alation

JUNE 9, 2021

According to a recent survey by Alation , 78% of enterprises have a strategic initiative to become more data-driven in their decision making. According to Gartner, data culture is a top priority for chief data officers (CDOs) and chief data & analytics officers (CDAOs). Today they have too much.

Data Governance 59

Data Governance Database Cloud Data Machine Learning 59

Alation

JUNE 21, 2022

The audience grew to include data scientists (who were even more scarce and expensive) and their supporting resources (e.g., After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that. Data engineers want to catalog data pipelines.

DataOps 52

DataOps Data Scientist Data Quality Data Pipeline 52

ODSC - Open Data Science

JULY 11, 2023

It uses a form of artificial intelligence called Reinforcement Learning from Human Feedback to produce answers based on human-guided computer analytics.2 Then I asked about the build or buy options to finance data centers or alternatives; this is covered in Part 2 as well. Its response is below.

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. The Cloud Data Migration Challenge. Support for languages and SQL.

Data Governance 59

Data Governance ML ML Cloud Data 59

AWS Machine Learning Blog

APRIL 12, 2023

The PdMS includes AWS services to securely manage the lifecycle of edge compute devices and BHS assets, cloud data ingestion, storage, machine learning (ML) inference models, and business logic to power proactive equipment maintenance in the cloud. It’s an easy way to run analytics on IoT data to gain accurate insights.

AWS 104

AWS ML ML Machine Learning 104

phData

FEBRUARY 14, 2023

Fivetran is the answer for anyone looking to focus their efforts on analytics and not pipeline management. Replicate can interact with a wide variety of databases, data warehouses, and data lakes (on-premise or based in the cloud).

Data Warehouse 59

Data Warehouse Azure AWS Database 59

Alation

MARCH 22, 2022

Accenture calls it the Intelligent Data Foundation (IDF), and it’s used by dozens of enterprises with very complex data landscapes and analytic requirements. Simply put, IDF standardizes data engineering processes. IDF works natively on cloud platforms like AWS. DataOps requires a very specific foundation.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineer 52

Alation

APRIL 7, 2021

Insights, like “popularity”, gleaned from the BAE, power recommendations that help you easily find and understand data. Alation also surfaces guidelines and policies to ensure accurate, well-governed analytics. Active Data Governance. A cloud-based data catalog supports unified data governance.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

Tableau

DECEMBER 7, 2022

As the world’s first real-time CRM, Salesforce Customer 360 and Data Cloud provide your entire organization with a single, up-to-the-minute view of your customer across any cloud. Built-in connectors bring in data from every single channel. Analyze and Predict This is where it really gets fun.

Tableau 55

Tableau Data Warehouse Data Pipeline Data Visualization 55