DareData

JULY 5, 2023

If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data. The Data Warehouse(s) facilitates data ingestion and enables easy access for end-users.

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

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. Data Ingestion. The raw data is in a series of CSV files. The post NVIDIA RAPIDS in Cloudera Machine Learning appeared first on Cloudera Blog. Introduction.

Machine Learning 137

Machine Learning Datasets Data Science Raw Data 137

Cloudyard

MARCH 4, 2023

DCDW Architecture Above all, Architecture was divided into three Business layers: Firstly,Agile Data ingestion : Heterogeneous Source System fed the data into Cloud. Respective Cloud would consume/Store the data in bucket or containers. Load the data AS-IS into Snowflake called RAW layer.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

Cloudera

NOVEMBER 17, 2020

The data and the techniques presented in this prototype are still applicable as creating a PCA feature store is often part of the machine learning process. . The process followed in this prototype covers several steps that you should follow: Data Ingest – move the raw data to a more suitable storage location.

Deep Learning 113

Deep Learning Machine Learning Raw Data Data Ingestion 113

DataKitchen

SEPTEMBER 21, 2023

In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers. The current landscape of Data Observability Tools shows a marked focus on “Data in Place,” leaving a significant gap in the “Data in Use.”

Raw Data 67

Raw Data Data Business Intelligence High Quality Data 67

Cloudera

NOVEMBER 19, 2020

The modeling process begins with data collection. Here, Cloudera Data Flow is leveraged to build a streaming pipeline which enables the collection, movement, curation, and augmentation of raw data feeds. These feeds are then enriched using external data sources (e.g., Learn more: Fraud Prevention Resource Kit.

Government 117

Government Machine Learning Algorithm Raw Data 117

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Ingestion 40

Data Ingestion Data Government Datasets 40

Snowflake

SEPTEMBER 11, 2023

As Snowflake streams define an offset to track change data capture (CDC) changes on underlying tables and views, Tasks can be used to schedule the consumption of that data. We covered this in depth in a previous blog post. Insert another fact record and it will also appear in the stream on view. Yes, very powerful!

SQL 71

SQL Data Raw Data Architecture 71

Rockset

APRIL 15, 2022

This is the second post in a series by Rockset's CTO 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!

Analytics Application 52

Analytics Application Data Warehouse Raw Data Kafka 52

Rockset

AUGUST 30, 2021

The latest Rockset release, SQL-based rollups, has made real-time analytics on streaming data a lot more affordable and accessible. Anyone who knows SQL, the lingua franca of analytics, can now rollup, transform, enrich and aggregate real-time data at massive scale. That is sufficient for some use cases.

SQL 52

SQL Kafka MongoDB MySQL 52

U-Next

JUNE 29, 2022

However, the benefits might be game-changing: a well-designed big data pipeline can significantly differentiate a company. In this blog, we’ll go over elements of big data , the big data environment as a whole, big data infrastructures, and some valuable tools for getting it all done.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

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. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

ProjectPro

AUGUST 24, 2021

Nevertheless, that is not the only job in the data world. 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. Collection happens in the Kafka topic.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

JANUARY 19, 2022

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. How to become a data engineer from a BI developer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

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

Rockset

JULY 12, 2022

In that case you can either increase the CPU and RAM resources you use to process the query (in Rockset, that means a larger Virtual Instance) or you can implement the JOIN functionality at data ingestion time. These types of JOIN s allow you to trade the compute used in the query to compute used during ingestion.

SQL 52

SQL AWS Datasets Raw Data 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Rockset

NOVEMBER 19, 2020

In this blog post, we show how Rockset’s Smart Schema feature lets developers use real-time SQL queries to extract meaningful insights from raw semi-structured data ingested without a predefined schema. The schema does not need to be known or defined ahead of time, and no clunky ETL pipelines are required.

Structured Data 40

Structured Data SQL NoSQL Raw Data 40

RandomTrees

NOVEMBER 29, 2023

The data from many data bases are sent to the data warehouse through the ETL processes. Cloud data warehouse automation process flow Automating the entire data warehouse process flow ensures high availability for ready to analyze data and makes them unique as to a traditional data warehouse gaining agility.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

AltexSoft

MAY 14, 2021

Big Data analytics encompasses the processes of collecting, processing, filtering/cleansing, and analyzing extensive datasets so that organizations can use them to develop, grow, and produce better products. Big Data analytics processes and tools. Data ingestion. Let’s take a closer look at these procedures.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. ® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog).

Kafka 20

Kafka BI SQL Datasets 20

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. How Big Data Works?

Big Data 52

Big Data Coding Project Hadoop 52