Christophe Blefari

DECEMBER 31, 2023

To finish the year Airflow team have released improvements to Datasets and a major step forward with the new Object Storage API that provides a generic abstraction over Cloud Storage to transfer data from one to another. Code review best practices for Analytics Engineers. Easy GCP cost anomaly detection.

Data 100

Data Python Cloud Storage Datasets 100

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

MARCH 7, 2024

Google Cloud Platform Next on the list is the Google Cloud Platform (GCP). It ranks third among the largest cloud computing companies in the world. Google Cloud Platform is a global leader in AI , machine learning, and data analytics.

Cloud Computing 98

Cloud Computing Amazon Web Services Cloud Google Cloud 98

Towards Data Science

NOVEMBER 4, 2023

For example, we can run ml_engine_training_op after we export data into the cloud storage (bq_export_op) and make this workflow run daily or weekly. It creates a simple data pipeline graph to export data into a cloud storage bucket and then trains the ML model using MLEngineTrainingOperator. """DAG

Data Engineer 98

Data Engineer Data Engineering Engineering BI 98

Knowledge Hut

DECEMBER 26, 2023

Look for AWS Cloud Practitioner Essentials Training online to learn the fundamentals of AWS Cloud Computing and become an expert in handling the AWS Cloud platform. Civis Analytics Civis Analytics is a big data Cloud tool used to centralize data, manage services, and scale up organizations.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Clouds (source: Pexels ). Organizations find they have much more agility with analytics in the cloud and can operate at a lower cost point than has been possible with legacy on-premises solutions. Published originally on O’Reilly.com.

Cloud 43

Cloud Cloud Storage BI Business Intelligence 43

Knowledge Hut

JUNE 26, 2023

Here are some data engineering project ideas to consider and Data Engineering portfolio project examples to demonstrate practical experience with data engineering problems. Realtime Data Analytics Project Overview: Olber, a corporation that provides taxi services, is gathering information about each and every journey.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Rockset

MARCH 5, 2021

Extending this analogy to the world of data analytics: “time” is query latency and “energy” is compute cost. The column design keeps data closer together, but requires computationally intensive scans to satisfy the query. However for each query it needs to scan your data. What has this got to do with Snowflake?

Cloud Storage 52

Cloud Storage Data Ingestion Data Warehouse Computer Science 52

AltexSoft

OCTOBER 21, 2022

In other words, Kafka can serve as a messaging system, commit log, data integration tool, and stream processing platform. The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Knowledge Hut

MARCH 21, 2024

It offers a real-time database called Cloud Firestore and handles user authentication and management. It provides scalable and secure cloud storage, secure web hosting, and insights into user behavior. Factor AWS Firebase Company Amazon Google Type Cloud service provider App development platform Compute EC2, Lambda, etc.

AWS 52

AWS Cloud Storage NoSQL Cloud Computing 52

AltexSoft

MAY 12, 2023

These robust security measures ensure that data is always secure and private. There are several widely used unstructured data storage solutions such as data lakes (e.g., Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., Invest in data governance.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Precisely

MARCH 10, 2023

With the right geocoding technology, accurate and standardized address data is entirely possible. This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade.

Datasets 59

Datasets Data Warehouse Big Data Data Analytics 59

Knowledge Hut

SEPTEMBER 21, 2023

Google's BigQuery, which is a managed enterprise data warehousing service, is the unique selling point of Google Cloud. Because of its distributed parallel processing architecture, Google BigQuery is a prominent choice for petabyte-scale data analytic workloads in any industry. to its users.

Cloud 52

Cloud Google Cloud Cloud Computing Cloud Storage 52

ProjectPro

SEPTEMBER 6, 2021

Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. AWS S3 and GCP Storage Amazon and Google both have their solution for cloud storage.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Monte Carlo

APRIL 24, 2023

It’s frustrating…[Lake Formation] is a step-level change for how easy it is to set up data lakes,” he said. Google Cloud Platform and/or BigLake Google offers a couple options for building data lakes. The added structure and governance from Dataplex makes BigLake an intriguing data lakehouse option as well.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

ProjectPro

JANUARY 24, 2023

BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats. BigQuery also supports many data sources, including Google Cloud Storage, Google Drive, and Sheets.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

Precisely

FEBRUARY 9, 2024

To make data AI-ready and maximize the potential of AI-based solutions, organizations will need to focus in the following areas in 2024: Access to all relevant data: When data is siloed, as data on mainframes or other core business platforms can often be, AI results are at risk of bias and hallucination.

Data Integration 69

Data Integration Government Data Metadata 69

Knowledge Hut

DECEMBER 26, 2023

You will retain use of the following Google Cloud application deployment environments: App Engine, Kubernetes Engine, and Compute Engine. Select and use one of Google Cloud's storage solutions, which include Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore.

Certification 95

Certification Java Google Cloud Education 95

Edureka

JULY 4, 2024

AWS Elastic File System is elastic, adaptable, and has low latency and great throughput, making it suitable for many workloads such as web serving and content stores, enterprise applications, media processing pipelines, data analytics, backups, and restore systems. ” Confirm the deletion in the dialog box that appears.

AWS 52

AWS Systems Amazon Web Services Cloud Storage 52

Confluent

FEBRUARY 6, 2019

Say you wanted to build one integration pipeline from MQTT to Kafka with KSQL for data preprocessing, and use Kafka Connect for data ingestion into HDFS, AWS S3 or Google Cloud Storage, where you do the model training. New MQTT input data can directly be used in real time to make predictions.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

NOVEMBER 16, 2023

Although the cloud providers ensure for highest level of safety for the data, it still faces a potential risk. As per the reports, Microsoft AI Research division accidentally leaked 38 terabytes of private data via unsecured cloud storage. How Azure and Data Science are Shaping the Future?

Data Science 52

Data Science Technology Cloud Computing Programming Language 52

Knowledge Hut

JULY 26, 2023

Whether you are seeking on-the-go access to information or an organization missing scalable infrastructure and collaboration capabilities, knowing the distinctions between mobile computing and cloud computing can help you make the best decisions for your computing needs.

Cloud Computing 52

Cloud Computing Cloud Cloud Storage Data Storage 52

Monte Carlo

JUNE 29, 2023

So it should come as no shock that those reporting at least half of their data resides in Snowflake, Databricks, or both, more than doubled from last year’s version of this survey.

Data Warehouse 52

Data Warehouse Cloud Storage Cloud Machine Learning 52

Knowledge Hut

DECEMBER 27, 2023

But ‘big data’ as a concept gained popularity in the early 2000s when Doug Laney, an industry analyst, articulated the definition of big data as the 3Vs. The Latest Big Data Statistics Reveal that the global big data analytics market is expected to earn $68 billion in revenue by 2025. Cons: Occupies huge RAM.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

AUGUST 24, 2021

So, working on a data warehousing project that helps you understand the building blocks of a data warehouse is likely to bring you more clarity and enhance your productivity as a data engineer. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

U-Next

SEPTEMBER 7, 2022

Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. For building data lakes, the following technologies provide flexible and scalable data lake storage : . Gen 2 Azure Data Lake Storage . Cloud storage provided by Google .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

NOVEMBER 27, 2023

Additionally, mastering Google Cloud Storage enables you to efficiently store, retrieve, and manage various types of data, ensuring seamless data management in the cloud. A strong grasp of compute services like Google Compute Engine enables the creation and management of virtual machines (VMs) in the cloud.

Google Cloud 52

Google Cloud Cloud Cloud Computing Pipeline-centric 52

Knowledge Hut

FEBRUARY 2, 2024

Cloud Computing Course As more and more businesses from various fields are starting to rely on digital data storage and database management, there is an increased need for storage space. And what better solution than cloud storage?

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

U-Next

NOVEMBER 18, 2022

For example, Google’s DeepMind is using AI to help improve the efficiency of Google’s data centers. AI can also help to reduce the cost of cloud storage. For example, Amazon’s Glacier storage service uses Machine Learning to help identify and remove duplicate data, which can reduce storage costs by up to 50%.

Cloud Computing 52

Cloud Computing Cloud Data Cleanse Data Mining 52

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Precisely

OCTOBER 5, 2023

Ultimately, context is the crucial component that builds data integrity and fuels advanced data analytics, optimized business processes, product innovation, and better customer experiences. Data enrichment is your key to success. Are files delivered as CSV, ASCII, a delimited text file, or another way?

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

Scala 64

Scala Data Lake Machine Learning BI 64

Striim

AUGUST 22, 2024

Collect data in real time Every organization can leverage valuable real-time data. Real-time analytics is made possible by the way the data is processed. Batch Processing In data analytics, batch processing involves first storing large amounts of data for a period and then analyzing it as needed.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Knowledge Hut

OCTOBER 3, 2023

AWS Certified Data Analytics - Specialty: This examination helps in validating a candidate's data analytics expertise and ability to design big data solutions with AWS services. You must possess at least five years of experience in data analytics and two years of hands-on experience with the AWS system.

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

Knowledge Hut

APRIL 26, 2024

Google Cloud Platform Next on the list is the Google Cloud Platform (GCP). It ranks third among the largest cloud computing companies in the world. Google Cloud Platform is a global leader in AI, machine learning, and data analytics.

Cloud Computing 52

Cloud Computing Amazon Web Services Cloud Google Cloud 52

Knowledge Hut

JULY 14, 2023

How does Cloud Banking Work? Cloud adapting in banking and financial services involves the on-demand delivery of combined computing services, including data storage, services, data analytics, communication and networking, and applications.

Cloud Computing 52

Cloud Computing Banking Cloud Certification 52

U-Next

NOVEMBER 24, 2022

Today, organizations are mainstreaming Cloud Computing as all firms of diverse sizes and industries use it for various use cases, including data backup, email, software development, disaster recovery, virtual desktops, testing, and big data analytics. AWS Storage Gateway: A hybrid storage service, Storage Gateway.

Cloud Computing 40

Cloud Computing AWS Amazon Web Services Cloud 40