TechCrunch

NOVEMBER 2, 2022

When Berlin-based Y42 launched in 2020 , its focus was mostly on orchestrating data pipelines for business intelligence. “The use case for data has moved beyond ad hoc reporting to become the very lifeblood of a company. .” No-code business intelligence service y42 raises $2.9M seed round.

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TechCrunch

OCTOBER 25, 2021

La Famiglia, which led the company’s seed round , and Data Community Fund also participated in this round, which brings the company’s total funding to date to just under $34 million. We are taking all the best practices of the modern data stack of these point-to-point tools, but apply them to one consistent platform.”

Data 210

Data Data Engineering Google Cloud Business Intelligence 210

The Accidental Successful CIO

MAY 12, 2021

CIOs need to understand how to make use of new business intelligence tools Image Credit: deepak pal. Modern CIOs need to understand that Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an company’s strategic and tactical business decisions.

Business Intelligence 90

Business Intelligence Business Analytics Analytics Off-The-Shelf 90

TechCrunch

DECEMBER 9, 2020

An alumni of Silicon Valley accelerator Y Combinator and backed by LocalGlobe , Dataform had set out to help data-rich companies draw insights from the data stored in their data warehouses. Mining data for insights and business intelligence typically requires a team of data engineers and analysts.

Google Cloud 242

Google Cloud Data Operating System Business Intelligence 242

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

O'Reilly Media - Data

APRIL 3, 2018

Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. We are bringing back the Strata Business Summit , and this year, we have two days of executive briefings.

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TechCrunch

AUGUST 4, 2022

Rill launched in 2020 to build what the founders envisioned as a faster and better BI dashboarding tool, based on what they had learned at Snap. They wanted an underlying database that could process database data much faster than simply taking it raw from the data source, whether that was Snowflake, Databricks, BigQuery or something else.

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CIO

JANUARY 22, 2025

According to Fernandes, IT leaders need to ensure both their staff and the business workforce are ready to do things differently to take advantage of the co-pilots. CIOs should also build platforms for custom tools that meet the specific needs not only of their industry and geography, but of their company and even for specific divisions.

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CIO

APRIL 22, 2022

Data analytics describes the current state of reality, whereas data science uses that data to predict and/or understand the future. The benefits of data science. The business value of data science depends on organizational needs. Data science tools.

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TechCrunch

SEPTEMBER 29, 2022

Coalesce is a startup that offers data transformation tools geared mainly toward enterprise customers. Petrossian met Coalesce’s other co-founder, Satish Jayanthi, at WhereScape, where the two were responsible for solving data warehouse problems for large organizations. (In Image Credits: Coalesce.

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CIO

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. Data analytics tools.

Analytics 203

Analytics Data Analysis Business Analytics 203

TechCrunch

JANUARY 26, 2022

It plans to use the money to continue investing in its technology stack, to step up with more business development, and to hire more talent for its team, to meet what it believes are changing tides in the world of data warehousing. Big data is at the heart of how a lot of applications, and a lot of business overall, works these days.

Analytics 218

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Cloudera

OCTOBER 23, 2024

By maintaining operational metadata within the table itself, Iceberg tables enable interoperability with many different systems and engines. The Iceberg REST catalog specification is a key component for making Iceberg tables available and discoverable by many different tools and execution engines.

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Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. What is a data engineer?

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TechCrunch

SEPTEMBER 1, 2022

. “Our thesis was that while companies collect mountains of data, the return on investment on it remains low because it’s predominantly used in dashboards and reporting, not daily actions and automation,” Akmal told TechCrunch in an email interview. These people are in high demand and there aren’t enough to go around.

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Weak Development Team Marketing Analytics Business Intelligence 223

TechCrunch

MAY 26, 2022

He’s the founder of Manta , a data lineage platform that automatically scans an organization’s data sources to build a map of data flows. “Data-driven decisions can only be as good as the quality of the underlying data sets and analysis. billion by 2024.

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TechCrunch

NOVEMBER 10, 2020

Explo , a member of the Y Combinator Winter 2020 class, which is helping customers build customer-facing business intelligence dashboards, announced a $2.3 They made the change because they were hearing this was really what customers needed more than the tool they had been building while at Y Combinator.

CTO Coach 196

CTO Coach Business Intelligence Travel Data Engineering 196

CIO

DECEMBER 14, 2023

The customer relationship management (CRM) software provider’s Data Cloud, which is a part of the company’s Einstein 1 platform, is targeted at helping enterprises consolidate and align customer data. Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications

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Artificial Inteligence Analysis Data Cloud 174

Altexsoft

FEBRUARY 8, 2021

diversity of sales channels, complex structure resulting in siloed data and lack of visibility. These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

O'Reilly Media - Ideas

FEBRUARY 11, 2019

In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. In this post, I’ll describe some of the core technologies and tools companies are beginning to evaluate and build.

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TechCrunch

APRIL 13, 2021

The company is able to do this because its core architecture is somewhat different from other data pipeline and integration services that, at first glance, seem to offer a similar solution. Because of this, users can use the service to connect different tools to their data warehouse but also build real-time tools on top of these data streams.

Data 248

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TechCrunch

SEPTEMBER 15, 2021

The company currently has “hundreds” of large enterprise customers, including Western Union, FOX, Sony, Slack, National Grid, Peet’s Coffee and Cisco for projects ranging from business intelligence and visualization through to artificial intelligence and machine learning applications.

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CIO

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists.

Analytics 205

Analytics Metrics Government Business Intelligence 205

TechCrunch

DECEMBER 16, 2020

Hightouch , a SaaS service that helps businesses sync their customer data across sales and marketing tools, is coming out of stealth and announcing a $2.1 At its core, Hightouch, which participated in Y Combinator’s Summer 2019 batch, aims to solve the customer data integration problems that many businesses today face.

Data 251

Data Analytics B2C Big Data 251

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

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Trigent

JUNE 20, 2022

To do this, they are constantly looking to partner with experts who can guide them on what to do with that data. This is where data engineering services providers come into play. Data engineering consulting is an inclusive term that encompasses multiple processes and business functions.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Hacker Earth Developers Blog

JUNE 26, 2019

Hiring for data science positions is easier with platforms such as HackerEarth’s developer assessment software. In case you are new to the tool or process, we have compiled a short guide to make it easier. Know what your organization wishes to achieve with data science. Things to look out for when hiring an engineer.

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Data How To Machine Learning Artificial Inteligence 200

O'Reilly Media - Ideas

FEBRUARY 11, 2020

Key survey results: The C-suite is engaged with data quality. Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Adopting AI can help data quality.

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Weak Development Team Data Technical Review Survey 145

O'Reilly Media - Ideas

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? Data scientists and data engineers are in demand.

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Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. This data engineering skillset typically consists of Java or Scala programming skills mated with deep DevOps acumen. A rare breed. What do you mean by democratizing?

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Altexsoft

AUGUST 21, 2019

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. Using specific tools and practices, businesses implement these methods to generate valuable insights. Data processing in a nutshell and ETL steps outline.

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Development Software Engineering Data Engineering Architecture 44

CTOvision

AUGUST 1, 2015

“We are thrilled to be supporting such a disruptive business for enterprise cloud usage,” said T. Immuta is focused on addressing these concerns while providing a means to simply and securely gain access to disparate enterprise data through its platform.”. to manage the chaos of big data systems appeared first on CTOvision.com.

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Altexsoft

OCTOBER 29, 2020

Here, we introduce you to ETL testing – checking that the data safely traveled from its source to its destination and guaranteeing its high quality before it enters your Business Intelligence reports. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

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Testing Tools Software Review Technical Review 63

CIO

MARCH 21, 2022

According to William Chen, Data Science Manager at Quora , the top five skills for data scientists include a mix of hard and soft skills: Programming: The “most fundamental of a data scientist’s skill set,” programming improves your statistics skills, helps you “analyze large datasets,” and gives you the ability to create your own tools, Chen says.

Analytics 205

Analytics Data Technical Review Analysis 205

Altexsoft

APRIL 16, 2021

As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. An overview of data warehouse types. What is data pipeline. OLAP database is the place where we store data for analysis.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Altexsoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. This post will draw a full picture of what Big Data analytics is and how it works. Data ingestion.

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Big Data Analytics Tools Applications 78

Apiumhub

DECEMBER 9, 2024

Spark Pools for Big Data Processing Synapse integrates with Apache Spark, enabling distributed processing for large datasets and allowing machine learning and data transformation tasks within the same platform. This resembles Azure Data Factory and allows for orchestration across multiple data sources and services.

Azure 91

Azure Analytics Storage Machine Learning 91