IBM Journey to AI blog

FEBRUARY 2, 2023

These developments have accelerated the adoption of hybrid-cloud data warehousing; industry analysts estimate that almost 50% 2 of enterprise data has been moved to the cloud. What is holding back the other 50% of datasets on-premises? However, a more detailed analysis is needed to make an informed decision.

Data Warehouse 57

Data Warehouse Cloud Data Database Analytics 57

Data Science 101

NOVEMBER 11, 2019

Welcome to the first beta edition of Cloud Data Science News. This will cover major announcements and news for doing data science in the cloud. Azure Arc You can now run Azure services anywhere (on-prem, on the edge, any cloud) you can run Kubernetes. Azure Synapse Analytics This is the future of data warehousing.

Cloud Data 95

Cloud Data Data Science Azure Clustering 95

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

Data Science 101

DECEMBER 16, 2019

Even though Amazon is taking a break from announcements (probably focusing on Christmas shoppers), there are still some updates in the cloud data science world. If you would like to get the Cloud Data Science News as an email, you can sign up for the Cloud Data Science Newsletter. Here they are.

Cloud Data 81

Cloud Data Data Science Azure Natural Language Processing 81

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

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 91

Tableau Data Lakes Data Warehouse SQL 91

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

phData

APRIL 29, 2024

Fivetran enables healthcare organizations to ingest data securely and effectively from a variety of sources into their target destinations, such as Snowflake or other cloud data platforms, for further analytics or curation for sharing data with external providers or customers.

SQL 52

SQL Azure Data Warehouse 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

Dataversity

SEPTEMBER 12, 2022

The ways in which we store and manage data have grown exponentially over recent years – and continue to evolve into new paradigms. For much of IT history, though, enterprise data architecture has existed as monolithic, centralized “data lakes.” The post Data Mesh or Data Mess?

Data Lakes 52

Data Lakes Data Quality Data Governance Cloud Data 52

Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

Cloud Data 98

Cloud Data Data Silos Data Lakes Data Warehouse 98

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. Here they are in my order of importance (based upon my opinion).

Data Science 106

Data Science Azure SQL Machine Learning 106

phData

AUGUST 9, 2023

Open source big data tools like Hadoop were experimented with – these could land data into a repository first before transformation. Thus, the early data lakes began following more of the EL-style flow. Snowflake was optimized for the cloud, separating storage and computing.

ETL 52

ETL Data Warehouse Cloud Data Big Data 52

Dataconomy

SEPTEMBER 4, 2023

Define data ownership, access controls, and data management processes to maintain the integrity and confidentiality of your data. Data integration: Integrate data from various sources into a centralized cloud data warehouse or data lake.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

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. How to Catalog AWS S3 with Alation. Conclusion.

Data Lakes 52

Data Lakes Cloud Data AWS Data Governance 52

Smart Data Collective

OCTOBER 27, 2021

Google BigQuery is a serverless and cost-effective multi-cloud data warehouse. It is easy to integrate with any existing data pipelines, and it can also stream data from the most popular message buses such as Amazon Kinesis and Kafka. It can also batch load files from data lakes such as Amazon S3 and HDFS.

Analytics 113

Analytics Analytics Data Warehouse Business Intelligence 113

Precisely

JANUARY 19, 2023

Today, mainframes deliver scalability and global access, and they’re still a key element of the infrastructure that makes private clouds possible at many organizations. In 2023, expect to see broader adoption of streaming data pipelines that bring mainframe data to the cloud, offering a powerful tool for “modernizing in place.”

AWS 52

AWS Cloud Computing Data Pipeline Big Data 52

Precisely

JANUARY 18, 2024

And, they’re still a key element of the infrastructure that makes private clouds possible at many organizations. Instead of performing major surgery on their critical business systems, enterprises are opting for real-time data integration built around inherently reliable and scalable change data capture (CDC) technology.

AWS 52

AWS Artificial Intelligence Artificial Intelligence Cloud Computing 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 Hadoop 147

Smart Data Collective

OCTOBER 26, 2019

While there is more of a push to use cloud data for off-site backup , this method comes with its own caveats. In the event of a network shutdown or failure, it may take much longer to restore functionality (and therefore connection) to a cloud-hosted off-site backup. Big Data Storage Concerns.

Big Data 45

Big Data Big Data Data Lakes Cloud Data 45

Analytics Vidhya

MARCH 5, 2023

Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version. A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data.

Hadoop 301

Hadoop Azure Analytics Analytics 301

phData

FEBRUARY 14, 2023

Qlik Replicate Qlik Replicate is a data integration tool that supports a wide range of source and target endpoints with configuration and automation capabilities that can give your organization easy, high-performance access to the latest and most accurate data. Replication of calculated values is not supported during Change Processing.

Data Warehouse 59

Data Warehouse Azure AWS Database 59

KDnuggets

DECEMBER 14, 2021

We have solicited insights from experts at industry-leading companies, asking: "What were the main AI, Data Science, Machine Learning Developments in 2021 and what key trends do you expect in 2022?" Read their opinions here.

Data Science 391

Data Science Machine Learning Machine Learning Analytics 391

Mlearning.ai

FEBRUARY 16, 2023

Thus, the solution allows for scaling data workloads independently from one another and seamlessly handling data warehousing, data lakes , data sharing, and engineering. Furthermore, a shared-data approach stems from this efficient combination. What will You Attain with Snowflake?

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Alation

MARCH 22, 2022

This produces end-to-end lineage so business and technology users alike can understand the state of a data lake and/or lake house. The table details are extracted from the IDF pipeline information, which then syncs details like column, table, business, and technical metadata.

DataOps 52

DataOps Data Pipeline Data Engineering Data Engineer 52

ODSC - Open Data Science

JULY 11, 2023

Co-location data centers: These are data centers that are owned and operated by third-party providers and are used to house the IT equipment of multiple organizations. What are the similarities and differences between data centers, data lake houses, and data lakes? Not a cloud computer?

Data Lakes 40

Data Lakes AI AI Cloud Computing 40

AWS Machine Learning Blog

AUGUST 4, 2023

Data Architect, Data Lake & AI/ML, serving strategic customers. DK has many years of experience in building data-intensive solutions across a range of industry verticals, including high-tech, FinTech, insurance, and consumer-facing applications. Ife has over 10 years of experience in technology.

ML 78

ML ML AWS AI 78

Dataversity

SEPTEMBER 6, 2021

The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. Click to learn more about author Mike Potter.

Data Warehouse 98

Data Warehouse Data Lakes ETL Cloud Data 98

Dataversity

MARCH 22, 2021

This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed? Click here to learn more about Heine Krog Iversen.

Data Lakes 98

Data Lakes Data Warehouse Data Quality Data Modeling 98

Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

Internet of Things 97

Internet of Things Data Silos Data Lakes Data Warehouse 97

Precisely

JANUARY 25, 2024

There are three potential approaches to mainframe modernization: Data Replication creates a duplicate copy of mainframe data in a cloud data warehouse or data lake, enabling high-performance analytics virtually in real time, without negatively impacting mainframe performance.

Data Governance 69

Data Governance Database Cloud Data Data Lakes 69

Flipboard

NOVEMBER 24, 2023

JuMa is tightly integrated with a range of BMW Central IT services, including identity and access management, roles and rights management, BMW Cloud Data Hub (BMW’s data lake on AWS) and on-premises databases.

ML 95

ML ML AWS AI 95

Dataversity

MARCH 29, 2021

The post The Move to Public Cloud and an Intelligent Data Strategy appeared first on DATAVERSITY. Click to learn more about author Joe Gaska. This is especially true when it comes to applications. As […].

DataOps 94

DataOps Data Lakes Azure AWS 94

Dataversity

FEBRUARY 15, 2021

The post 2021 Crystal Ball: What’s in Store for AI, Machine Learning, and Data appeared first on DATAVERSITY. Click to learn more about author Rachel Roumeliotis. Artificial intelligence (AI) is no longer a “nice-to-have.” As we bid 2020 a […].

Machine Learning 59

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 59

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

Dataversity

FEBRUARY 17, 2022

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

Machine Learning 52

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 52

Dataversity

FEBRUARY 16, 2022

The semantic layer concept within the data stack is not new but is an increasingly popular topic of conversation. I predict that in 2022, we’ll see mainstream awareness of the semantic layer, especially as enterprises begin to see real-world examples of its benefits.

Data Lakes 52

Data Lakes Data Warehouse Cloud Data Analytics 52