InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. To read this article in full, please click here In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex.

Big Data 78

Big Data Azure Data Google Cloud 78

Altexsoft

JANUARY 14, 2021

Snowflake, Redshift, BigQuery, and Others: Cloud Data Warehouse Tools Compared. From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. Is it still so?

Backup 115

Backup Azure Software Review Architecture 115

Altexsoft

JANUARY 22, 2020

Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. Data visualization as a part of data representation and analytics. Azure Stream Analytics.

Analytics 20

Analytics Data IoT Analysis 20

Cloudera

DECEMBER 15, 2022

With CDP, customers can deploy storage, compute, and access, all with the freedom offered by the cloud, avoiding vendor lock-in and taking advantage of best-of-breed solutions. The new capabilities of Apache Iceberg in CDP enable you to accelerate multi-cloud open lakehouse implementations. Enhanced multi-function analytics.

Cloud 82

Cloud Data Analytics Artificial Inteligence 82

O'Reilly Media - Ideas

JANUARY 25, 2024

Rachel Stephens provides two fascinating pieces of the puzzle in a recent article on the RedMonk blog , but those pieces don’t fit together exactly. Data analysis and databases Data engineering was by far the most heavily used topic in this category; it showed a 3.6% SQL Server also showed a 5.3%

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

Altexsoft

APRIL 16, 2021

However, when it comes to analyzing large volumes of data from different angles, the logic of OLTP has serious limitations. So, we need a solution that’s capable of representing data from multiple dimensions. In this article, we’ll talk about such a solution —- Online Analytical Processing , or OLAP technology.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

JULY 29, 2022

What does it take to store all New York Times articles published between 1855 and 1922? Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. What is Hadoop? Apache Hadoop architecture.

Big Data 59

Big Data Data Google Cloud Open Source 59

Altexsoft

APRIL 26, 2022

For everyone who is considering Snowflake as a part of their technology stack, this article is a great place to start the journey. We’ll dive deeper into Snowflake’s pros and cons, its unique architecture, and its features to help you decide whether this data warehouse is the right choice for your company. What is Snowflake?

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Kentik

MARCH 7, 2023

Solving these problems for distributed cloud networks has required a big data approach, ultimately resulting in the evolution of network observability. Despite what was supposed to be a robust and expansive series of ExpressRoutes with Azure, the retailer’s system kept experiencing cascading failures.

Network 99

Network Cloud Data Case Study 99

Altexsoft

JULY 19, 2022

She formulated the thesis in 2018 and published her first article “How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh” in 2019. Since that time, the data mesh concept has received a lot of attention and appreciation from companies pioneering this idea. And it’s their job to guarantee data quality.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

OCTOBER 2, 2020

If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business. Data security: preventing data breaches.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Altexsoft

NOVEMBER 5, 2021

Here, HIM is short for health information management, the discipline too broad to be covered in one article. So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. Supported data formats.

Technical Review 59

Technical Review Technology Software Review Healthcare 59

Altexsoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka? How Apache Kafka streams relate to Franz Kafka’s books.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Altexsoft

DECEMBER 4, 2020

Transferring data from one computer environment to another is a time-consuming, multi-step process involving such activities as planning, data profiling, testing, to name a few. You can read more about it in our previous article Data Migration: Process, Types, and Golden Rules to Follow. Data sources and destinations.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

OCTOBER 8, 2021

The bad news is, integrating data can become a tedious task, especially when done manually. Luckily, there are various data integration tools that support automation and provide a unified data view for more efficient data management. Data integration in a nutshell. Data integration process. Pricing model.

Tools 52

Tools Data Software Review Open Source 52

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers.

Data 19

Data Training Analytics Storage 19

Altexsoft

MARCH 30, 2023

Along with thousands of other data-driven organizations from different industries, the above-mentioned leaders opted for Databrick to guide strategic business decisions. In this article, we’ll highlight the reasoning behind this choice and the challenges related to it. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

Cloudera

MAY 18, 2021

Second, since IaaS deployments replicated the on-premises HDFS storage model, they resulted in the same data replication overhead in the cloud (typical 3x), something that could have mostly been avoided by leveraging modern object store. Storage costs. 13,000-18,500. 7,500-11,500. 8,500-14,500. 5,500-9,000. hour using a r5d.4xlarge

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

FEBRUARY 22, 2021

It builds on a foundation of technologies from CDH (Cloudera Data Hub) and HDP (Hortonworks Data Platform) technologies and delivers a holistic, integrated data platform from Edge to AI helping clients to accelerate complex data pipelines and democratize data assets. query failures, cost overruns).

Data 83

Data Analytics Government Technical Review 83