Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

DECEMBER 14, 2021

So to improve the speed of data analysis, the IRS worked with the combined technology integrating Cloudera Data Platform (CDP) and NVIDIA’s RAPIDS Accelerator for Apache Spark 3.0. However, the CBA is a huge institution with 15 million customers and 700M daily transactions — managing the growing influx of data was challenging. .

Transportation 107

Transportation Telecommunication Banking Data Lake 107

Data Engineering Podcast

JULY 10, 2022

RudderStack helps you build a customer data platform on your warehouse or data lake. Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. In fact, while only 3.5%

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Knowledge Hut

MARCH 19, 2024

I will explore the top 10 AWS applications and their use cases in this blog. It also keeps backups, media files, log data, and static website content. Lambda usage includes real-time data processing, communication with IoT devices, and execution of automated tasks. What is AWS?

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Snowflake

AUGUST 16, 2023

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. Learn more about ML-Powered Functions in our blog or in Snowflake documentation.

Scala 52

Scala Transportation Kafka Data Lake 52

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. Integrated across the Enterprise Data Lifecycle . Cloudera Shared Data Experience (SDX) . Conclusion.

Database 81

Database Machine Learning Data Lake Kafka 81

Cloudera

AUGUST 26, 2020

In Part II of our Q&A, Dinesh will be looking at how businesses can leverage technology like Apache Flink and Apache NiFi to promote low latency processing of high-volume, high-velocity data. Hello Dinesh, thank you for joining us for Part II of our Q&A on streaming data.

Banking 80

Banking Data Ingestion Kafka Data Lake 80

Rockset

JULY 28, 2022

As capable as it is, there are still instances where MongoDB alone can't satisfy all of the requirements for an application, so getting a copy of the data into another platform via a change data capture (CDC) solution is required. And you have now introduced another process that has to run, be monitored, scale etc.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

APRIL 25, 2023

Data engineering tools are software applications that help data engineers manage and process large and complex data sets. Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Let’s take a look: 1.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

SEPTEMBER 29, 2023

Moreover, what benefits can you expect from a career in Azure Data Engineering? This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Join us on this journey through the exciting realm of Azure Data Engineering.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

FEBRUARY 16, 2022

In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Each project consists of a declarative series of steps or operations that define the data science workflow.

Machine Learning 81

Machine Learning Algorithm Government Metadata 81

Rockset

AUGUST 30, 2021

Apache Kafka has made acquiring real-time data more mainstream, but only a small sliver are turning batch analytics, run nightly, into real-time analytical dashboards with alerts and automatic anomaly detection. The majority are still draining streaming data into a data lake or a warehouse and are doing batch analytics.

SQL 52

SQL Kafka MongoDB MySQL 52

Cloudera

JULY 18, 2018

Analyzing a variety of data not limited to, clinical and biological data will be necessary to gain valuable insight. Having the proper infrastructure with the required storage and processing capacity will be expected in order to efficiently design, train, execute, and deploy machine learning and AI solutions.

Machine Learning 50

Machine Learning Healthcare Medical Electronics 50

Rockset

JULY 6, 2022

This is the fifth post in a series by Rockset's CTO and Co-founder Dhruba Borthakur on Designing the Next Generation of Data Systems for Real-Time Analytics. We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! This keeps the data intact.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Snowflake

APRIL 18, 2024

This blog post explores how Snowflake can help with this challenge. Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. These rules need computing power to analyze data and spot attacks.

Data Lake 78

Data Lake Data Ingestion Bytes Cloud Computing 78

Rockset

OCTOBER 11, 2022

As Rockset is purpose-built for real-time analytics, it has also been designed for field-level mutability , decreasing the CPU required to process inserts, updates and deletes. Logstash is an event processing pipeline that ingests and transforms data before sending it to Elasticsearch.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Rockset

MARCH 27, 2023

In part 1 , we covered the technology landscape for real-time analytics on streaming data. In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks. Differing Paradigms Stream processing systems and real-time analytics (RTA) databases are both exploding in popularity.

Database 52

Database Process Scala SQL 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer? Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

AUGUST 13, 2021

Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. What should IT leaders consider when planning their data needs?

Data Pipeline 108

Data Pipeline Data Lake ETL Tools Unstructured Data 108

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. The script will go through loading RAPIDs libraries then leveraging them to load and processing a datafile. Data Ingestion. The raw data is in a series of CSV files.

Machine Learning 136

Machine Learning Datasets Data Science Raw Data 136

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. Batch processing and reports after minutes or even hours is not sufficient. Apache Kafka is an event streaming platform that combines messages, storage, and data processing.

Kafka 21

Kafka BI SQL Datasets 21

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. ORC open file format support.

Cloud 76

Cloud Metadata Google Cloud Data Warehouse 76

Cloudera

JUNE 30, 2022

Over the past decade, Cloudera has enabled multi-function analytics on data lakes through the introduction of the Hive table format and Hive ACID. Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in.

Data Lake 84

Data Lake Business Intelligence Metadata Data Warehouse 84

Cloudera

AUGUST 9, 2022

The first, ISO 27031:2011, helps describe the process and procedures involved in incident response. This includes the Plan, Do, Check, and Act life cycle that help build an incident-response process. Cloudera continues to improve upon both product and process to make disaster recovery easier to implement. Conclusion.

Data Lake 75

Data Lake Data Warehouse Architecture Data Ingestion 75

Cloudera

MARCH 31, 2021

Customers who have chosen Google Cloud as their cloud platform can now use CDP Public Cloud to create secure governed data lakes in their own cloud accounts and deliver security, compliance and metadata management across multiple compute clusters. Data Preparation (Apache Spark and Apache Hive) .

Google Cloud 90

Google Cloud Cloud Amazon Web Services Cloud Storage 90

Cloudera

FEBRUARY 4, 2019

Cloudera DataFlow (CDF) is a scalable, real-time streaming data platform that collects, curates, and analyzes data so customers gain key insights for immediate actionable intelligence. 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.

Data Ingestion 72

Data Ingestion Retail Kafka Data Lake 72

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

LinkedIn Engineering

JULY 27, 2023

However, the ease of these processes can lead to over-provisioning and under-utilization of cloud resources, resulting in increased operating expenses. In this blog post, we will share our progress, challenges, and lessons learned from our Costwiz journey. ETL processes must determine where to pick up the next batch of data.

Metadata 75

Metadata Utilities Cloud Data Lake 75

Knowledge Hut

JULY 6, 2023

This blog walks you through the top Azure Monitoring and Development that every SRE and DevOps engineer must know. It is a built-in Massively parallel processing (MPP) data lake house to handle all your infrastructure observability and security needs. However, there are costs associated with data ingestion.

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 97

Architecture Metadata Unstructured Data Machine Learning 97

U-Next

JUNE 29, 2022

Data must be consumed from many sources, translated and stored, and then processed before being presented understandably. However, the benefits might be game-changing: a well-designed big data pipeline can significantly differentiate a company. Data ingestion can be divided into two categories: . Consumption .

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Feature engineering: Data is transformed to support ML model training. ML workflow, ubr.to/3EJHjvm

Engineering 82

Engineering Raw Data Data Science Scala 82

Rockset

NOVEMBER 6, 2019

In this blog, we will examine the use of three different data backends for event data - Apache Druid , Elasticsearch and Rockset. Using Event Data Events are commonly used by systems in the following ways: For reacting to changes in other systems: e.g. when a payment is completed, send the user a receipt.

Kafka 40

Kafka Data Lake SQL Hadoop 40

Cloudera

JANUARY 22, 2019

Big Data Fabric offers a comprehensive approach to overcoming the challenges of rapidly growing data, ever-changing application requirements and distributed processing needs. Data processing and persistence. Data orchestration. Data discovery. Data management and intelligence. Data access.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44